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    "# Xarray Fundamentals\n",
    "\n",
    "*This material is adapted from the [Earth and Environmental Data Science](https://earth-env-data-science.github.io/intro.html), from Ryan Abernathey (Columbia University)*."
   ]
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   "cell_type": "markdown",
   "metadata": {},
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    "## Xarray data structures\n",
    "\n",
    "\n",
    ":::{important}\n",
    "Like Pandas, xarray has two fundamental data structures:\n",
    "* a `DataArray`, which holds a single multi-dimensional variable and its coordinates\n",
    "* a `Dataset`, which holds multiple variables that potentially share the same coordinates\n",
    ":::\n",
    "\n",
    "### DataArray\n",
    "\n",
    "A `DataArray` has four essential attributes:\n",
    "* `values`: a `numpy.ndarray` holding the array’s values\n",
    "* `dims`: dimension names for each axis (*e.g.*, `('x', 'y', 'z')`)\n",
    "* `coords`: a dict-like container of arrays (coordinates) that label each point (e.g., 1-dimensional arrays of numbers, datetime objects or strings)\n",
    "* `attrs`: an `OrderedDict` to hold arbitrary metadata (attributes)\n",
    "\n",
    "Let's start by constructing some DataArrays manually "
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  },
  {
   "cell_type": "code",
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   "metadata": {
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   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "# %config InlineBackend.figure_format = 'retina'\n",
    "plt.ion()  # To trigger the interactive inline mode\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (6,5)"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A simple DataArray without dimensions or coordinates isn't much use."
   ]
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  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (dim_0: 5)&gt;\n",
       "array([9, 0, 2, 1, 0])\n",
       "Dimensions without coordinates: dim_0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>dim_0</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2fa1ec79-cfab-460e-92f1-84a69db187aa' class='xr-array-in' type='checkbox' checked><label for='section-2fa1ec79-cfab-460e-92f1-84a69db187aa' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>9 0 2 1 0</span></div><div class='xr-array-data'><pre>array([9, 0, 2, 1, 0])</pre></div></div></li><li class='xr-section-item'><input id='section-5f7f577d-c89d-49d9-bec8-1627c18e69ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5f7f577d-c89d-49d9-bec8-1627c18e69ae' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-41d99226-15ad-4700-89b2-6f4a87eb3668' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41d99226-15ad-4700-89b2-6f4a87eb3668' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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       "<xarray.DataArray (dim_0: 5)>\n",
       "array([9, 0, 2, 1, 0])\n",
       "Dimensions without coordinates: dim_0"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can add a dimension name..."
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  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (x: 5)&gt;\n",
       "array([9, 0, 2, 1, 0])\n",
       "Dimensions without coordinates: x</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>x</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3da4b24b-25fe-4653-9dc0-3626b29053d6' class='xr-array-in' type='checkbox' checked><label for='section-3da4b24b-25fe-4653-9dc0-3626b29053d6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>9 0 2 1 0</span></div><div class='xr-array-data'><pre>array([9, 0, 2, 1, 0])</pre></div></div></li><li class='xr-section-item'><input id='section-8b78c5a8-b872-44b0-be66-54b364e6e79e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8b78c5a8-b872-44b0-be66-54b364e6e79e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7bf6805c-552f-47ab-a21c-5159994dc145' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7bf6805c-552f-47ab-a21c-5159994dc145' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (x: 5)>\n",
       "array([9, 0, 2, 1, 0])\n",
       "Dimensions without coordinates: x"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da = xr.DataArray([9, 0, 2, 1, 0], dims=['x'])\n",
    "da"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But things get most interesting when we add a coordinate:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
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       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (x: 5)&gt;\n",
       "array([9, 0, 2, 1, 0])\n",
       "Coordinates:\n",
       "  * x        (x) int64 10 20 30 40 50</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-17034ac1-d42c-4085-be4b-6e16b4b94cc1' class='xr-array-in' type='checkbox' checked><label for='section-17034ac1-d42c-4085-be4b-6e16b4b94cc1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>9 0 2 1 0</span></div><div class='xr-array-data'><pre>array([9, 0, 2, 1, 0])</pre></div></div></li><li class='xr-section-item'><input id='section-62c9f9ed-e01b-4e5a-bed5-42a6cbaf4bb4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-62c9f9ed-e01b-4e5a-bed5-42a6cbaf4bb4' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>10 20 30 40 50</div><input id='attrs-b4922886-2314-4930-8bad-20d712dee312' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b4922886-2314-4930-8bad-20d712dee312' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2c9f322-5b3a-4e5d-b5d9-f7dc71798a2c' class='xr-var-data-in' type='checkbox'><label for='data-e2c9f322-5b3a-4e5d-b5d9-f7dc71798a2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([10, 20, 30, 40, 50])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f86a249f-4402-4ccf-913e-d0155882033d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f86a249f-4402-4ccf-913e-d0155882033d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (x: 5)>\n",
       "array([9, 0, 2, 1, 0])\n",
       "Coordinates:\n",
       "  * x        (x) int64 10 20 30 40 50"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da = xr.DataArray([9, 0, 2, 1, 0],\n",
    "                  dims=['x'],\n",
    "                  coords={'x': [10, 20, 30, 40, 50]})\n",
    "da"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Xarray` has built-in plotting, like `Pandas`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc7a069ad00>]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 316,
       "width": 362
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "da.plot(marker='o')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multidimensional DataArray\n",
    "\n",
    "If we are just dealing with 1D data, Pandas and Xarray have very similar capabilities. Xarray's real potential comes with multidimensional data.\n",
    "\n",
    "Let's analyse a multidimensional [ARGO data](https://argo.ucsd.edu/data/) (argo_float_4901412.npz) from ocean profiling floats.\n",
    "\n",
    "We reload this data and examine its keys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "argo_data = np.load('argo_float_4901412.npz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['S', 'T', 'levels', 'lon', 'date', 'P', 'lat']"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(argo_data.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The values of the `argo_data` object are numpy arrays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(78, 75) (75,) (75,) (78,)\n"
     ]
    }
   ],
   "source": [
    "S = argo_data.f.S\n",
    "T = argo_data.f.T\n",
    "P = argo_data.f.P\n",
    "levels = argo_data.f.levels\n",
    "lon = argo_data.f.lon\n",
    "lat = argo_data.f.lat\n",
    "date = argo_data.f.date\n",
    "print(S.shape, lon.shape, date.shape, levels.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's organize the data and coordinates of the salinity variable into a DataArray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (level: 78, date: 75)&gt;\n",
       "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>level</span>: 78</li><li><span class='xr-has-index'>date</span>: 75</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-02510d92-ca6a-4250-b002-01f043eda411' class='xr-array-in' type='checkbox' checked><label for='section-02510d92-ca6a-4250-b002-01f043eda411' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>35.64 35.51 35.57 35.4 35.45 35.5 ... 34.94 nan 34.94 nan 34.94 nan</span></div><div class='xr-array-data'><pre>array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-e2ff89ad-74f2-4491-97fe-d201220528d1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e2ff89ad-74f2-4491-97fe-d201220528d1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-343411a9-a6ab-4fb7-9405-9179ab06e417' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-343411a9-a6ab-4fb7-9405-9179ab06e417' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6baa4e9f-12c0-4890-adfb-deafdb93b5ee' class='xr-var-data-in' type='checkbox'><label for='data-6baa4e9f-12c0-4890-adfb-deafdb93b5ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-07-13T22:33:06.019200 ... 2...</div><input id='attrs-85285b8a-6e53-4ec6-bc43-55967ad9066d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85285b8a-6e53-4ec6-bc43-55967ad9066d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4005578a-b4bc-47a0-b129-6074206e5b79' class='xr-var-data-in' type='checkbox'><label for='data-4005578a-b4bc-47a0-b129-6074206e5b79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-07-13T22:33:06.019200000&#x27;, &#x27;2012-07-23T22:54:59.990400000&#x27;,\n",
       "       &#x27;2012-08-02T22:55:52.003200000&#x27;, &#x27;2012-08-12T23:08:59.971200000&#x27;,\n",
       "       &#x27;2012-08-22T23:29:01.968000000&#x27;, &#x27;2012-09-01T23:17:38.976000000&#x27;,\n",
       "       &#x27;2012-09-12T02:59:18.960000000&#x27;, &#x27;2012-09-21T23:18:37.036800000&#x27;,\n",
       "       &#x27;2012-10-02T03:00:17.971200000&#x27;, &#x27;2012-10-11T23:13:27.984000000&#x27;,\n",
       "       &#x27;2012-10-22T02:50:32.006400000&#x27;, &#x27;2012-10-31T23:36:39.974400000&#x27;,\n",
       "       &#x27;2012-11-11T02:40:46.041600000&#x27;, &#x27;2012-11-20T23:08:29.990400000&#x27;,\n",
       "       &#x27;2012-12-01T02:47:51.993600000&#x27;, &#x27;2012-12-10T23:23:16.972800000&#x27;,\n",
       "       &#x27;2012-12-21T02:58:48.979200000&#x27;, &#x27;2012-12-30T23:07:23.030400000&#x27;,\n",
       "       &#x27;2013-01-10T02:56:43.008000000&#x27;, &#x27;2013-01-19T23:24:26.956800000&#x27;,\n",
       "       &#x27;2013-01-30T02:43:53.011200000&#x27;, &#x27;2013-02-08T23:15:27.043200000&#x27;,\n",
       "       &#x27;2013-02-19T01:12:50.976000000&#x27;, &#x27;2013-02-28T23:07:13.008000000&#x27;,\n",
       "       &#x27;2013-03-11T02:43:30.979200000&#x27;, &#x27;2013-03-20T23:17:22.992000000&#x27;,\n",
       "       &#x27;2013-03-31T01:50:38.025600000&#x27;, &#x27;2013-04-09T23:19:07.968000000&#x27;,\n",
       "       &#x27;2013-04-20T02:53:29.990400000&#x27;, &#x27;2013-04-29T23:28:33.024000000&#x27;,\n",
       "       &#x27;2013-05-10T02:50:18.009600000&#x27;, &#x27;2013-05-19T23:21:05.990400000&#x27;,\n",
       "       &#x27;2013-05-30T02:50:30.969600000&#x27;, &#x27;2013-06-08T23:32:49.027200000&#x27;,\n",
       "       &#x27;2013-06-19T03:42:51.004800000&#x27;, &#x27;2013-06-28T23:32:16.022400000&#x27;,\n",
       "       &#x27;2013-07-09T03:28:30.979199999&#x27;, &#x27;2013-07-18T23:33:57.974400000&#x27;,\n",
       "       &#x27;2013-07-29T03:15:42.019200000&#x27;, &#x27;2013-08-07T23:25:02.035200000&#x27;,\n",
       "       &#x27;2013-08-18T01:47:44.966400000&#x27;, &#x27;2013-08-28T03:02:59.020800000&#x27;,\n",
       "       &#x27;2013-09-07T03:03:51.984000000&#x27;, &#x27;2013-09-16T23:32:07.987200000&#x27;,\n",
       "       &#x27;2013-09-27T04:08:27.974400000&#x27;, &#x27;2013-10-06T23:25:39.964800000&#x27;,\n",
       "       &#x27;2013-10-17T02:55:50.995200000&#x27;, &#x27;2013-10-27T03:45:47.001600000&#x27;,\n",
       "       &#x27;2013-11-06T01:14:52.022400000&#x27;, &#x27;2013-11-16T03:29:54.009600000&#x27;,\n",
       "       &#x27;2013-11-26T03:03:56.995200000&#x27;, &#x27;2013-12-05T23:33:59.011200000&#x27;,\n",
       "       &#x27;2013-12-16T02:58:01.977600000&#x27;, &#x27;2013-12-25T23:22:43.017600000&#x27;,\n",
       "       &#x27;2014-01-05T02:52:06.009600000&#x27;, &#x27;2014-01-14T23:41:18.009600000&#x27;,\n",
       "       &#x27;2014-01-25T03:00:43.977600000&#x27;, &#x27;2014-02-03T23:29:13.977600000&#x27;,\n",
       "       &#x27;2014-02-14T02:50:11.961600000&#x27;, &#x27;2014-02-23T23:03:21.974400000&#x27;,\n",
       "       &#x27;2014-03-06T02:58:03.964800000&#x27;, &#x27;2014-03-15T23:10:28.012800000&#x27;,\n",
       "       &#x27;2014-03-26T02:51:22.032000000&#x27;, &#x27;2014-04-04T23:25:58.972800000&#x27;,\n",
       "       &#x27;2014-04-15T03:00:45.964800000&#x27;, &#x27;2014-04-24T23:24:40.003200000&#x27;,\n",
       "       &#x27;2014-05-05T02:56:22.012800000&#x27;, &#x27;2014-05-15T00:10:06.009600000&#x27;,\n",
       "       &#x27;2014-05-25T03:02:43.036800000&#x27;, &#x27;2014-06-03T23:34:53.961600000&#x27;,\n",
       "       &#x27;2014-06-14T03:01:23.980800000&#x27;, &#x27;2014-06-23T23:24:31.968000000&#x27;,\n",
       "       &#x27;2014-07-04T03:08:30.019200000&#x27;, &#x27;2014-07-13T23:47:43.008000000&#x27;,\n",
       "       &#x27;2014-07-24T03:02:33.014400000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e24ea454-cb78-4603-ae7e-beec80131566' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e24ea454-cb78-4603-ae7e-beec80131566' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (level: 78, date: 75)>\n",
       "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T..."
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da_salinity = xr.DataArray(S, dims=['level', 'date'],\n",
    "                           coords={'level': levels,\n",
    "                                   'date': date},)\n",
    "da_salinity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fc7c19f50d0>"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 337,
       "width": 375
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "da_salinity.plot(yincrease=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Attributes can be used to store metadata. What metadata should you store? The [CF Conventions](http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html#_description_of_the_data) are a great resource for thinking about climate metadata. Below we define two of the required CF-conventions attributes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (level: 78, date: 75)&gt;\n",
       "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "Attributes:\n",
       "    units:          PSU\n",
       "    standard_name:  sea_water_salinity</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>level</span>: 78</li><li><span class='xr-has-index'>date</span>: 75</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5d91b53e-c878-4bfa-a9ed-de4681fce69d' class='xr-array-in' type='checkbox' checked><label for='section-5d91b53e-c878-4bfa-a9ed-de4681fce69d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>35.64 35.51 35.57 35.4 35.45 35.5 ... 34.94 nan 34.94 nan 34.94 nan</span></div><div class='xr-array-data'><pre>array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-8e6a1840-428f-4815-8a76-769faffd694a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e6a1840-428f-4815-8a76-769faffd694a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-612ffa6d-9a34-4ca1-9873-1ce65e8d6790' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-612ffa6d-9a34-4ca1-9873-1ce65e8d6790' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37d3c959-296a-476b-9521-28b1dd638d12' class='xr-var-data-in' type='checkbox'><label for='data-37d3c959-296a-476b-9521-28b1dd638d12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-07-13T22:33:06.019200 ... 2...</div><input id='attrs-127f92ad-f8ae-42bb-aec5-8e1364adc1a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-127f92ad-f8ae-42bb-aec5-8e1364adc1a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5755ed6-c0d2-4a57-80bc-61b18947f1d8' class='xr-var-data-in' type='checkbox'><label for='data-a5755ed6-c0d2-4a57-80bc-61b18947f1d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-07-13T22:33:06.019200000&#x27;, &#x27;2012-07-23T22:54:59.990400000&#x27;,\n",
       "       &#x27;2012-08-02T22:55:52.003200000&#x27;, &#x27;2012-08-12T23:08:59.971200000&#x27;,\n",
       "       &#x27;2012-08-22T23:29:01.968000000&#x27;, &#x27;2012-09-01T23:17:38.976000000&#x27;,\n",
       "       &#x27;2012-09-12T02:59:18.960000000&#x27;, &#x27;2012-09-21T23:18:37.036800000&#x27;,\n",
       "       &#x27;2012-10-02T03:00:17.971200000&#x27;, &#x27;2012-10-11T23:13:27.984000000&#x27;,\n",
       "       &#x27;2012-10-22T02:50:32.006400000&#x27;, &#x27;2012-10-31T23:36:39.974400000&#x27;,\n",
       "       &#x27;2012-11-11T02:40:46.041600000&#x27;, &#x27;2012-11-20T23:08:29.990400000&#x27;,\n",
       "       &#x27;2012-12-01T02:47:51.993600000&#x27;, &#x27;2012-12-10T23:23:16.972800000&#x27;,\n",
       "       &#x27;2012-12-21T02:58:48.979200000&#x27;, &#x27;2012-12-30T23:07:23.030400000&#x27;,\n",
       "       &#x27;2013-01-10T02:56:43.008000000&#x27;, &#x27;2013-01-19T23:24:26.956800000&#x27;,\n",
       "       &#x27;2013-01-30T02:43:53.011200000&#x27;, &#x27;2013-02-08T23:15:27.043200000&#x27;,\n",
       "       &#x27;2013-02-19T01:12:50.976000000&#x27;, &#x27;2013-02-28T23:07:13.008000000&#x27;,\n",
       "       &#x27;2013-03-11T02:43:30.979200000&#x27;, &#x27;2013-03-20T23:17:22.992000000&#x27;,\n",
       "       &#x27;2013-03-31T01:50:38.025600000&#x27;, &#x27;2013-04-09T23:19:07.968000000&#x27;,\n",
       "       &#x27;2013-04-20T02:53:29.990400000&#x27;, &#x27;2013-04-29T23:28:33.024000000&#x27;,\n",
       "       &#x27;2013-05-10T02:50:18.009600000&#x27;, &#x27;2013-05-19T23:21:05.990400000&#x27;,\n",
       "       &#x27;2013-05-30T02:50:30.969600000&#x27;, &#x27;2013-06-08T23:32:49.027200000&#x27;,\n",
       "       &#x27;2013-06-19T03:42:51.004800000&#x27;, &#x27;2013-06-28T23:32:16.022400000&#x27;,\n",
       "       &#x27;2013-07-09T03:28:30.979199999&#x27;, &#x27;2013-07-18T23:33:57.974400000&#x27;,\n",
       "       &#x27;2013-07-29T03:15:42.019200000&#x27;, &#x27;2013-08-07T23:25:02.035200000&#x27;,\n",
       "       &#x27;2013-08-18T01:47:44.966400000&#x27;, &#x27;2013-08-28T03:02:59.020800000&#x27;,\n",
       "       &#x27;2013-09-07T03:03:51.984000000&#x27;, &#x27;2013-09-16T23:32:07.987200000&#x27;,\n",
       "       &#x27;2013-09-27T04:08:27.974400000&#x27;, &#x27;2013-10-06T23:25:39.964800000&#x27;,\n",
       "       &#x27;2013-10-17T02:55:50.995200000&#x27;, &#x27;2013-10-27T03:45:47.001600000&#x27;,\n",
       "       &#x27;2013-11-06T01:14:52.022400000&#x27;, &#x27;2013-11-16T03:29:54.009600000&#x27;,\n",
       "       &#x27;2013-11-26T03:03:56.995200000&#x27;, &#x27;2013-12-05T23:33:59.011200000&#x27;,\n",
       "       &#x27;2013-12-16T02:58:01.977600000&#x27;, &#x27;2013-12-25T23:22:43.017600000&#x27;,\n",
       "       &#x27;2014-01-05T02:52:06.009600000&#x27;, &#x27;2014-01-14T23:41:18.009600000&#x27;,\n",
       "       &#x27;2014-01-25T03:00:43.977600000&#x27;, &#x27;2014-02-03T23:29:13.977600000&#x27;,\n",
       "       &#x27;2014-02-14T02:50:11.961600000&#x27;, &#x27;2014-02-23T23:03:21.974400000&#x27;,\n",
       "       &#x27;2014-03-06T02:58:03.964800000&#x27;, &#x27;2014-03-15T23:10:28.012800000&#x27;,\n",
       "       &#x27;2014-03-26T02:51:22.032000000&#x27;, &#x27;2014-04-04T23:25:58.972800000&#x27;,\n",
       "       &#x27;2014-04-15T03:00:45.964800000&#x27;, &#x27;2014-04-24T23:24:40.003200000&#x27;,\n",
       "       &#x27;2014-05-05T02:56:22.012800000&#x27;, &#x27;2014-05-15T00:10:06.009600000&#x27;,\n",
       "       &#x27;2014-05-25T03:02:43.036800000&#x27;, &#x27;2014-06-03T23:34:53.961600000&#x27;,\n",
       "       &#x27;2014-06-14T03:01:23.980800000&#x27;, &#x27;2014-06-23T23:24:31.968000000&#x27;,\n",
       "       &#x27;2014-07-04T03:08:30.019200000&#x27;, &#x27;2014-07-13T23:47:43.008000000&#x27;,\n",
       "       &#x27;2014-07-24T03:02:33.014400000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0cfd289f-67df-419d-9618-2639bb553ed9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0cfd289f-67df-419d-9618-2639bb553ed9' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>PSU</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (level: 78, date: 75)>\n",
       "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "Attributes:\n",
       "    units:          PSU\n",
       "    standard_name:  sea_water_salinity"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da_salinity.attrs['units'] = 'PSU'\n",
    "da_salinity.attrs['standard_name'] = 'sea_water_salinity'\n",
    "da_salinity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Datasets\n",
    "\n",
    "A Dataset holds many DataArrays which potentially can share coordinates. In analogy to pandas:\n",
    "\n",
    "    pandas.Series : pandas.Dataframe :: xarray.DataArray : xarray.Dataset\n",
    "    \n",
    "Constructing Datasets manually is a bit more involved in terms of syntax. The Dataset constructor takes three arguments:\n",
    "\n",
    "* `data_vars` should be a dictionary with each key as the name of the variable and each value as one of:\n",
    "  * A `DataArray` or Variable\n",
    "  * A tuple of the form `(dims, data[, attrs])`, which is converted into arguments for Variable\n",
    "  * A pandas object, which is converted into a `DataArray`\n",
    "  * A 1D array or list, which is interpreted as values for a one dimensional coordinate variable along the same dimension as it’s name\n",
    "* `coords` should be a dictionary of the same form as data_vars.\n",
    "* `attrs` should be a dictionary.\n",
    "\n",
    "Let's put together a Dataset with temperature, salinity and pressure all together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (date: 75, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cfe8380a-47fa-475f-8c1f-150fa37efae2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cfe8380a-47fa-475f-8c1f-150fa37efae2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 75</li><li><span class='xr-has-index'>level</span>: 78</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c9304184-9c2c-48ff-9025-8b3870b87cc6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9304184-9c2c-48ff-9025-8b3870b87cc6' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-b8dd83bf-1232-48c9-95c7-dd0c24942111' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8dd83bf-1232-48c9-95c7-dd0c24942111' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e17035f-28c8-4968-8a3d-96fb2cb6b6a8' class='xr-var-data-in' type='checkbox'><label for='data-2e17035f-28c8-4968-8a3d-96fb2cb6b6a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-07-13T22:33:06.019200 ... 2...</div><input id='attrs-3ec058bb-f473-43c6-b9ed-1af1d52d40fd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ec058bb-f473-43c6-b9ed-1af1d52d40fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34b63038-c3fc-488d-b9f2-05952a43fb83' class='xr-var-data-in' type='checkbox'><label for='data-34b63038-c3fc-488d-b9f2-05952a43fb83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-07-13T22:33:06.019200000&#x27;, &#x27;2012-07-23T22:54:59.990400000&#x27;,\n",
       "       &#x27;2012-08-02T22:55:52.003200000&#x27;, &#x27;2012-08-12T23:08:59.971200000&#x27;,\n",
       "       &#x27;2012-08-22T23:29:01.968000000&#x27;, &#x27;2012-09-01T23:17:38.976000000&#x27;,\n",
       "       &#x27;2012-09-12T02:59:18.960000000&#x27;, &#x27;2012-09-21T23:18:37.036800000&#x27;,\n",
       "       &#x27;2012-10-02T03:00:17.971200000&#x27;, &#x27;2012-10-11T23:13:27.984000000&#x27;,\n",
       "       &#x27;2012-10-22T02:50:32.006400000&#x27;, &#x27;2012-10-31T23:36:39.974400000&#x27;,\n",
       "       &#x27;2012-11-11T02:40:46.041600000&#x27;, &#x27;2012-11-20T23:08:29.990400000&#x27;,\n",
       "       &#x27;2012-12-01T02:47:51.993600000&#x27;, &#x27;2012-12-10T23:23:16.972800000&#x27;,\n",
       "       &#x27;2012-12-21T02:58:48.979200000&#x27;, &#x27;2012-12-30T23:07:23.030400000&#x27;,\n",
       "       &#x27;2013-01-10T02:56:43.008000000&#x27;, &#x27;2013-01-19T23:24:26.956800000&#x27;,\n",
       "       &#x27;2013-01-30T02:43:53.011200000&#x27;, &#x27;2013-02-08T23:15:27.043200000&#x27;,\n",
       "       &#x27;2013-02-19T01:12:50.976000000&#x27;, &#x27;2013-02-28T23:07:13.008000000&#x27;,\n",
       "       &#x27;2013-03-11T02:43:30.979200000&#x27;, &#x27;2013-03-20T23:17:22.992000000&#x27;,\n",
       "       &#x27;2013-03-31T01:50:38.025600000&#x27;, &#x27;2013-04-09T23:19:07.968000000&#x27;,\n",
       "       &#x27;2013-04-20T02:53:29.990400000&#x27;, &#x27;2013-04-29T23:28:33.024000000&#x27;,\n",
       "       &#x27;2013-05-10T02:50:18.009600000&#x27;, &#x27;2013-05-19T23:21:05.990400000&#x27;,\n",
       "       &#x27;2013-05-30T02:50:30.969600000&#x27;, &#x27;2013-06-08T23:32:49.027200000&#x27;,\n",
       "       &#x27;2013-06-19T03:42:51.004800000&#x27;, &#x27;2013-06-28T23:32:16.022400000&#x27;,\n",
       "       &#x27;2013-07-09T03:28:30.979199999&#x27;, &#x27;2013-07-18T23:33:57.974400000&#x27;,\n",
       "       &#x27;2013-07-29T03:15:42.019200000&#x27;, &#x27;2013-08-07T23:25:02.035200000&#x27;,\n",
       "       &#x27;2013-08-18T01:47:44.966400000&#x27;, &#x27;2013-08-28T03:02:59.020800000&#x27;,\n",
       "       &#x27;2013-09-07T03:03:51.984000000&#x27;, &#x27;2013-09-16T23:32:07.987200000&#x27;,\n",
       "       &#x27;2013-09-27T04:08:27.974400000&#x27;, &#x27;2013-10-06T23:25:39.964800000&#x27;,\n",
       "       &#x27;2013-10-17T02:55:50.995200000&#x27;, &#x27;2013-10-27T03:45:47.001600000&#x27;,\n",
       "       &#x27;2013-11-06T01:14:52.022400000&#x27;, &#x27;2013-11-16T03:29:54.009600000&#x27;,\n",
       "       &#x27;2013-11-26T03:03:56.995200000&#x27;, &#x27;2013-12-05T23:33:59.011200000&#x27;,\n",
       "       &#x27;2013-12-16T02:58:01.977600000&#x27;, &#x27;2013-12-25T23:22:43.017600000&#x27;,\n",
       "       &#x27;2014-01-05T02:52:06.009600000&#x27;, &#x27;2014-01-14T23:41:18.009600000&#x27;,\n",
       "       &#x27;2014-01-25T03:00:43.977600000&#x27;, &#x27;2014-02-03T23:29:13.977600000&#x27;,\n",
       "       &#x27;2014-02-14T02:50:11.961600000&#x27;, &#x27;2014-02-23T23:03:21.974400000&#x27;,\n",
       "       &#x27;2014-03-06T02:58:03.964800000&#x27;, &#x27;2014-03-15T23:10:28.012800000&#x27;,\n",
       "       &#x27;2014-03-26T02:51:22.032000000&#x27;, &#x27;2014-04-04T23:25:58.972800000&#x27;,\n",
       "       &#x27;2014-04-15T03:00:45.964800000&#x27;, &#x27;2014-04-24T23:24:40.003200000&#x27;,\n",
       "       &#x27;2014-05-05T02:56:22.012800000&#x27;, &#x27;2014-05-15T00:10:06.009600000&#x27;,\n",
       "       &#x27;2014-05-25T03:02:43.036800000&#x27;, &#x27;2014-06-03T23:34:53.961600000&#x27;,\n",
       "       &#x27;2014-06-14T03:01:23.980800000&#x27;, &#x27;2014-06-23T23:24:31.968000000&#x27;,\n",
       "       &#x27;2014-07-04T03:08:30.019200000&#x27;, &#x27;2014-07-13T23:47:43.008000000&#x27;,\n",
       "       &#x27;2014-07-24T03:02:33.014400000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63c5ef70-0938-403a-9df4-6a0fa32a34cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-63c5ef70-0938-403a-9df4-6a0fa32a34cc' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.64 35.51 35.57 ... nan 34.94 nan</div><input id='attrs-244e03d3-cc43-448a-b439-601349210959' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-244e03d3-cc43-448a-b439-601349210959' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7175e7b-44ba-442b-a37e-0cab65417f66' class='xr-var-data-in' type='checkbox'><label for='data-d7175e7b-44ba-442b-a37e-0cab65417f66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.97 18.44 19.1 ... nan 3.714 nan</div><input id='attrs-82a42dd6-ca06-467d-98cb-d254ee902675' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82a42dd6-ca06-467d-98cb-d254ee902675' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e365fbae-d7d8-4977-82d2-2425b1e9f78b' class='xr-var-data-in' type='checkbox'><label for='data-e365fbae-d7d8-4977-82d2-2425b1e9f78b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[18.97400093, 18.43700027, 19.09900093, ..., 19.11300087,\n",
       "        21.82299995, 20.13100052],\n",
       "       [18.74099922, 18.39999962, 19.08200073, ..., 18.47200012,\n",
       "        19.45999908, 20.125     ],\n",
       "       [18.37000084, 18.37400055, 19.06500053, ..., 18.22999954,\n",
       "        19.26199913, 20.07699966],\n",
       "       ...,\n",
       "       [ 3.79299998,  3.81399989,  3.80200005, ...,  3.80699992,\n",
       "         3.81100011,  3.8599999 ],\n",
       "       [ 3.76399994,  3.77800012,  3.75699997, ...,  3.75399995,\n",
       "         3.74600005,  3.80599999],\n",
       "       [ 3.74399996,  3.74600005,  3.7249999 , ...,         nan,\n",
       "         3.71399999,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.8 6.1 6.5 5.0 ... nan 2e+03 nan</div><input id='attrs-2ea4d0c3-64a0-4514-b73c-2a18d2e4e6d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ea4d0c3-64a0-4514-b73c-2a18d2e4e6d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-403ba86e-958a-4610-8322-7fbf60233a75' class='xr-var-data-in' type='checkbox'><label for='data-403ba86e-958a-4610-8322-7fbf60233a75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[   6.80000019,    6.0999999 ,    6.5       , ...,    7.0999999 ,\n",
       "           7.20000029,    6.5       ],\n",
       "       [  10.69999981,   10.59999943,   10.39999962, ...,   10.79999924,\n",
       "          11.09999943,   10.39999962],\n",
       "       [  15.69999981,   14.09999943,   14.89999962, ...,   15.89999962,\n",
       "          15.59999943,   15.89999962],\n",
       "       ...,\n",
       "       [1900.60009766, 1900.        , 1900.19995117, ..., 1899.70007324,\n",
       "        1900.40002441, 1899.80004883],\n",
       "       [1949.90002441, 1950.        , 1949.89990234, ..., 1950.59997559,\n",
       "        1950.20007324, 1949.70007324],\n",
       "       [1999.30004883, 1998.        , 1998.5       , ...,           nan,\n",
       "        2000.40002441,           nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b3d9ad5-3d95-4931-803d-b6890c14750b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b3d9ad5-3d95-4931-803d-b6890c14750b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (date: 75, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "argo = xr.Dataset(\n",
    "        data_vars={'salinity':    (('level', 'date'), S),\n",
    "                   'temperature': (('level', 'date'), T),\n",
    "                   'pressure':    (('level', 'date'), P)},\n",
    "        coords={'level': levels,\n",
    "                'date': date})\n",
    "argo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What about lon and lat? We forgot them in the creation process, but we can add them after"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (date: 75, level: 78, lon: 75)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "  * lon          (lon) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f76d1e8d-d483-441a-8b89-cf8d2444641a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f76d1e8d-d483-441a-8b89-cf8d2444641a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 75</li><li><span class='xr-has-index'>level</span>: 78</li><li><span class='xr-has-index'>lon</span>: 75</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bb7f487c-6ad1-4a09-b7a3-537a1366b204' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bb7f487c-6ad1-4a09-b7a3-537a1366b204' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-c0526bfd-d0a5-4054-972b-5310f52255c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c0526bfd-d0a5-4054-972b-5310f52255c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58e29320-6577-4586-8072-f98aa1fc4614' class='xr-var-data-in' type='checkbox'><label for='data-58e29320-6577-4586-8072-f98aa1fc4614' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-07-13T22:33:06.019200 ... 2...</div><input id='attrs-ba492e5f-59e8-42ba-8478-435935351bf1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba492e5f-59e8-42ba-8478-435935351bf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a284b13-9ca8-4290-b03a-1136b995fc53' class='xr-var-data-in' type='checkbox'><label for='data-7a284b13-9ca8-4290-b03a-1136b995fc53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-07-13T22:33:06.019200000&#x27;, &#x27;2012-07-23T22:54:59.990400000&#x27;,\n",
       "       &#x27;2012-08-02T22:55:52.003200000&#x27;, &#x27;2012-08-12T23:08:59.971200000&#x27;,\n",
       "       &#x27;2012-08-22T23:29:01.968000000&#x27;, &#x27;2012-09-01T23:17:38.976000000&#x27;,\n",
       "       &#x27;2012-09-12T02:59:18.960000000&#x27;, &#x27;2012-09-21T23:18:37.036800000&#x27;,\n",
       "       &#x27;2012-10-02T03:00:17.971200000&#x27;, &#x27;2012-10-11T23:13:27.984000000&#x27;,\n",
       "       &#x27;2012-10-22T02:50:32.006400000&#x27;, &#x27;2012-10-31T23:36:39.974400000&#x27;,\n",
       "       &#x27;2012-11-11T02:40:46.041600000&#x27;, &#x27;2012-11-20T23:08:29.990400000&#x27;,\n",
       "       &#x27;2012-12-01T02:47:51.993600000&#x27;, &#x27;2012-12-10T23:23:16.972800000&#x27;,\n",
       "       &#x27;2012-12-21T02:58:48.979200000&#x27;, &#x27;2012-12-30T23:07:23.030400000&#x27;,\n",
       "       &#x27;2013-01-10T02:56:43.008000000&#x27;, &#x27;2013-01-19T23:24:26.956800000&#x27;,\n",
       "       &#x27;2013-01-30T02:43:53.011200000&#x27;, &#x27;2013-02-08T23:15:27.043200000&#x27;,\n",
       "       &#x27;2013-02-19T01:12:50.976000000&#x27;, &#x27;2013-02-28T23:07:13.008000000&#x27;,\n",
       "       &#x27;2013-03-11T02:43:30.979200000&#x27;, &#x27;2013-03-20T23:17:22.992000000&#x27;,\n",
       "       &#x27;2013-03-31T01:50:38.025600000&#x27;, &#x27;2013-04-09T23:19:07.968000000&#x27;,\n",
       "       &#x27;2013-04-20T02:53:29.990400000&#x27;, &#x27;2013-04-29T23:28:33.024000000&#x27;,\n",
       "       &#x27;2013-05-10T02:50:18.009600000&#x27;, &#x27;2013-05-19T23:21:05.990400000&#x27;,\n",
       "       &#x27;2013-05-30T02:50:30.969600000&#x27;, &#x27;2013-06-08T23:32:49.027200000&#x27;,\n",
       "       &#x27;2013-06-19T03:42:51.004800000&#x27;, &#x27;2013-06-28T23:32:16.022400000&#x27;,\n",
       "       &#x27;2013-07-09T03:28:30.979199999&#x27;, &#x27;2013-07-18T23:33:57.974400000&#x27;,\n",
       "       &#x27;2013-07-29T03:15:42.019200000&#x27;, &#x27;2013-08-07T23:25:02.035200000&#x27;,\n",
       "       &#x27;2013-08-18T01:47:44.966400000&#x27;, &#x27;2013-08-28T03:02:59.020800000&#x27;,\n",
       "       &#x27;2013-09-07T03:03:51.984000000&#x27;, &#x27;2013-09-16T23:32:07.987200000&#x27;,\n",
       "       &#x27;2013-09-27T04:08:27.974400000&#x27;, &#x27;2013-10-06T23:25:39.964800000&#x27;,\n",
       "       &#x27;2013-10-17T02:55:50.995200000&#x27;, &#x27;2013-10-27T03:45:47.001600000&#x27;,\n",
       "       &#x27;2013-11-06T01:14:52.022400000&#x27;, &#x27;2013-11-16T03:29:54.009600000&#x27;,\n",
       "       &#x27;2013-11-26T03:03:56.995200000&#x27;, &#x27;2013-12-05T23:33:59.011200000&#x27;,\n",
       "       &#x27;2013-12-16T02:58:01.977600000&#x27;, &#x27;2013-12-25T23:22:43.017600000&#x27;,\n",
       "       &#x27;2014-01-05T02:52:06.009600000&#x27;, &#x27;2014-01-14T23:41:18.009600000&#x27;,\n",
       "       &#x27;2014-01-25T03:00:43.977600000&#x27;, &#x27;2014-02-03T23:29:13.977600000&#x27;,\n",
       "       &#x27;2014-02-14T02:50:11.961600000&#x27;, &#x27;2014-02-23T23:03:21.974400000&#x27;,\n",
       "       &#x27;2014-03-06T02:58:03.964800000&#x27;, &#x27;2014-03-15T23:10:28.012800000&#x27;,\n",
       "       &#x27;2014-03-26T02:51:22.032000000&#x27;, &#x27;2014-04-04T23:25:58.972800000&#x27;,\n",
       "       &#x27;2014-04-15T03:00:45.964800000&#x27;, &#x27;2014-04-24T23:24:40.003200000&#x27;,\n",
       "       &#x27;2014-05-05T02:56:22.012800000&#x27;, &#x27;2014-05-15T00:10:06.009600000&#x27;,\n",
       "       &#x27;2014-05-25T03:02:43.036800000&#x27;, &#x27;2014-06-03T23:34:53.961600000&#x27;,\n",
       "       &#x27;2014-06-14T03:01:23.980800000&#x27;, &#x27;2014-06-23T23:24:31.968000000&#x27;,\n",
       "       &#x27;2014-07-04T03:08:30.019200000&#x27;, &#x27;2014-07-13T23:47:43.008000000&#x27;,\n",
       "       &#x27;2014-07-24T03:02:33.014400000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.13 -37.28 ... -34.11 -34.38</div><input id='attrs-40f3c43b-212e-4333-8717-b433e1bb02d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40f3c43b-212e-4333-8717-b433e1bb02d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0f0afcf-5d65-4cd4-8178-1e4da8680dc7' class='xr-var-data-in' type='checkbox'><label for='data-f0f0afcf-5d65-4cd4-8178-1e4da8680dc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-39.13 , -37.282, -36.9  , -36.89 , -37.053, -36.658, -35.963, -35.184,\n",
       "       -34.462, -33.784, -32.972, -32.546, -32.428, -32.292, -32.169, -31.998,\n",
       "       -31.824, -31.624, -31.433, -31.312, -31.107, -31.147, -31.044, -31.14 ,\n",
       "       -31.417, -31.882, -32.145, -32.487, -32.537, -32.334, -32.042, -31.892,\n",
       "       -31.861, -31.991, -31.883, -31.89 , -31.941, -31.889, -31.724, -31.412,\n",
       "       -31.786, -31.561, -31.732, -31.553, -31.862, -32.389, -32.318, -32.19 ,\n",
       "       -32.224, -32.368, -32.306, -32.305, -32.65 , -33.093, -33.263, -33.199,\n",
       "       -33.27 , -33.237, -33.221, -33.011, -32.844, -32.981, -32.784, -32.607,\n",
       "       -32.87 , -33.196, -33.524, -33.956, -33.944, -33.71 , -33.621, -33.552,\n",
       "       -33.828, -34.11 , -34.38 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b53dc90c-8bc6-4b9d-ade5-305d7be244a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b53dc90c-8bc6-4b9d-ade5-305d7be244a7' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.64 35.51 35.57 ... nan 34.94 nan</div><input id='attrs-a3bd6c7f-6388-48d2-b418-983c23390e30' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a3bd6c7f-6388-48d2-b418-983c23390e30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73a145d6-28c1-4649-b3f5-24c240d9eb83' class='xr-var-data-in' type='checkbox'><label for='data-73a145d6-28c1-4649-b3f5-24c240d9eb83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.97 18.44 19.1 ... nan 3.714 nan</div><input id='attrs-d51b5311-8a1c-4be9-b853-8b06fa3b730e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d51b5311-8a1c-4be9-b853-8b06fa3b730e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27f6ee17-e323-4047-a808-0196636a4769' class='xr-var-data-in' type='checkbox'><label for='data-27f6ee17-e323-4047-a808-0196636a4769' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[18.97400093, 18.43700027, 19.09900093, ..., 19.11300087,\n",
       "        21.82299995, 20.13100052],\n",
       "       [18.74099922, 18.39999962, 19.08200073, ..., 18.47200012,\n",
       "        19.45999908, 20.125     ],\n",
       "       [18.37000084, 18.37400055, 19.06500053, ..., 18.22999954,\n",
       "        19.26199913, 20.07699966],\n",
       "       ...,\n",
       "       [ 3.79299998,  3.81399989,  3.80200005, ...,  3.80699992,\n",
       "         3.81100011,  3.8599999 ],\n",
       "       [ 3.76399994,  3.77800012,  3.75699997, ...,  3.75399995,\n",
       "         3.74600005,  3.80599999],\n",
       "       [ 3.74399996,  3.74600005,  3.7249999 , ...,         nan,\n",
       "         3.71399999,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.8 6.1 6.5 5.0 ... nan 2e+03 nan</div><input id='attrs-557f61ad-5235-49ff-8d1c-e61064bb33fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-557f61ad-5235-49ff-8d1c-e61064bb33fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35d4f1a4-bf7e-44a5-a311-3b1982a3b87f' class='xr-var-data-in' type='checkbox'><label for='data-35d4f1a4-bf7e-44a5-a311-3b1982a3b87f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[   6.80000019,    6.0999999 ,    6.5       , ...,    7.0999999 ,\n",
       "           7.20000029,    6.5       ],\n",
       "       [  10.69999981,   10.59999943,   10.39999962, ...,   10.79999924,\n",
       "          11.09999943,   10.39999962],\n",
       "       [  15.69999981,   14.09999943,   14.89999962, ...,   15.89999962,\n",
       "          15.59999943,   15.89999962],\n",
       "       ...,\n",
       "       [1900.60009766, 1900.        , 1900.19995117, ..., 1899.70007324,\n",
       "        1900.40002441, 1899.80004883],\n",
       "       [1949.90002441, 1950.        , 1949.89990234, ..., 1950.59997559,\n",
       "        1950.20007324, 1949.70007324],\n",
       "       [1999.30004883, 1998.        , 1998.5       , ...,           nan,\n",
       "        2000.40002441,           nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b32ee09e-004e-4546-8272-53252e3d0090' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b32ee09e-004e-4546-8272-53252e3d0090' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (date: 75, level: 78, lon: 75)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "  * lon          (lon) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "argo.coords['lon'] = lon\n",
    "argo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That was not quite right...we want lon to have dimension `date`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (date: 75, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "    lat          (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f67b2384-9e2c-4ee7-9673-9f1ac656c9aa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f67b2384-9e2c-4ee7-9673-9f1ac656c9aa' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 75</li><li><span class='xr-has-index'>level</span>: 78</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9d9bc758-a410-4741-a20e-0ffa678e419a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d9bc758-a410-4741-a20e-0ffa678e419a' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-20bde7b1-e01e-44b3-83a3-46b46089317b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20bde7b1-e01e-44b3-83a3-46b46089317b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19166ffb-16b6-4452-bd83-338b29078b1a' class='xr-var-data-in' type='checkbox'><label for='data-19166ffb-16b6-4452-bd83-338b29078b1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-07-13T22:33:06.019200 ... 2...</div><input id='attrs-95699a41-0782-4671-9871-4b1b956bff1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95699a41-0782-4671-9871-4b1b956bff1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35f1c358-cef3-43ff-a522-bca451d66622' class='xr-var-data-in' type='checkbox'><label for='data-35f1c358-cef3-43ff-a522-bca451d66622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-07-13T22:33:06.019200000&#x27;, &#x27;2012-07-23T22:54:59.990400000&#x27;,\n",
       "       &#x27;2012-08-02T22:55:52.003200000&#x27;, &#x27;2012-08-12T23:08:59.971200000&#x27;,\n",
       "       &#x27;2012-08-22T23:29:01.968000000&#x27;, &#x27;2012-09-01T23:17:38.976000000&#x27;,\n",
       "       &#x27;2012-09-12T02:59:18.960000000&#x27;, &#x27;2012-09-21T23:18:37.036800000&#x27;,\n",
       "       &#x27;2012-10-02T03:00:17.971200000&#x27;, &#x27;2012-10-11T23:13:27.984000000&#x27;,\n",
       "       &#x27;2012-10-22T02:50:32.006400000&#x27;, &#x27;2012-10-31T23:36:39.974400000&#x27;,\n",
       "       &#x27;2012-11-11T02:40:46.041600000&#x27;, &#x27;2012-11-20T23:08:29.990400000&#x27;,\n",
       "       &#x27;2012-12-01T02:47:51.993600000&#x27;, &#x27;2012-12-10T23:23:16.972800000&#x27;,\n",
       "       &#x27;2012-12-21T02:58:48.979200000&#x27;, &#x27;2012-12-30T23:07:23.030400000&#x27;,\n",
       "       &#x27;2013-01-10T02:56:43.008000000&#x27;, &#x27;2013-01-19T23:24:26.956800000&#x27;,\n",
       "       &#x27;2013-01-30T02:43:53.011200000&#x27;, &#x27;2013-02-08T23:15:27.043200000&#x27;,\n",
       "       &#x27;2013-02-19T01:12:50.976000000&#x27;, &#x27;2013-02-28T23:07:13.008000000&#x27;,\n",
       "       &#x27;2013-03-11T02:43:30.979200000&#x27;, &#x27;2013-03-20T23:17:22.992000000&#x27;,\n",
       "       &#x27;2013-03-31T01:50:38.025600000&#x27;, &#x27;2013-04-09T23:19:07.968000000&#x27;,\n",
       "       &#x27;2013-04-20T02:53:29.990400000&#x27;, &#x27;2013-04-29T23:28:33.024000000&#x27;,\n",
       "       &#x27;2013-05-10T02:50:18.009600000&#x27;, &#x27;2013-05-19T23:21:05.990400000&#x27;,\n",
       "       &#x27;2013-05-30T02:50:30.969600000&#x27;, &#x27;2013-06-08T23:32:49.027200000&#x27;,\n",
       "       &#x27;2013-06-19T03:42:51.004800000&#x27;, &#x27;2013-06-28T23:32:16.022400000&#x27;,\n",
       "       &#x27;2013-07-09T03:28:30.979199999&#x27;, &#x27;2013-07-18T23:33:57.974400000&#x27;,\n",
       "       &#x27;2013-07-29T03:15:42.019200000&#x27;, &#x27;2013-08-07T23:25:02.035200000&#x27;,\n",
       "       &#x27;2013-08-18T01:47:44.966400000&#x27;, &#x27;2013-08-28T03:02:59.020800000&#x27;,\n",
       "       &#x27;2013-09-07T03:03:51.984000000&#x27;, &#x27;2013-09-16T23:32:07.987200000&#x27;,\n",
       "       &#x27;2013-09-27T04:08:27.974400000&#x27;, &#x27;2013-10-06T23:25:39.964800000&#x27;,\n",
       "       &#x27;2013-10-17T02:55:50.995200000&#x27;, &#x27;2013-10-27T03:45:47.001600000&#x27;,\n",
       "       &#x27;2013-11-06T01:14:52.022400000&#x27;, &#x27;2013-11-16T03:29:54.009600000&#x27;,\n",
       "       &#x27;2013-11-26T03:03:56.995200000&#x27;, &#x27;2013-12-05T23:33:59.011200000&#x27;,\n",
       "       &#x27;2013-12-16T02:58:01.977600000&#x27;, &#x27;2013-12-25T23:22:43.017600000&#x27;,\n",
       "       &#x27;2014-01-05T02:52:06.009600000&#x27;, &#x27;2014-01-14T23:41:18.009600000&#x27;,\n",
       "       &#x27;2014-01-25T03:00:43.977600000&#x27;, &#x27;2014-02-03T23:29:13.977600000&#x27;,\n",
       "       &#x27;2014-02-14T02:50:11.961600000&#x27;, &#x27;2014-02-23T23:03:21.974400000&#x27;,\n",
       "       &#x27;2014-03-06T02:58:03.964800000&#x27;, &#x27;2014-03-15T23:10:28.012800000&#x27;,\n",
       "       &#x27;2014-03-26T02:51:22.032000000&#x27;, &#x27;2014-04-04T23:25:58.972800000&#x27;,\n",
       "       &#x27;2014-04-15T03:00:45.964800000&#x27;, &#x27;2014-04-24T23:24:40.003200000&#x27;,\n",
       "       &#x27;2014-05-05T02:56:22.012800000&#x27;, &#x27;2014-05-15T00:10:06.009600000&#x27;,\n",
       "       &#x27;2014-05-25T03:02:43.036800000&#x27;, &#x27;2014-06-03T23:34:53.961600000&#x27;,\n",
       "       &#x27;2014-06-14T03:01:23.980800000&#x27;, &#x27;2014-06-23T23:24:31.968000000&#x27;,\n",
       "       &#x27;2014-07-04T03:08:30.019200000&#x27;, &#x27;2014-07-13T23:47:43.008000000&#x27;,\n",
       "       &#x27;2014-07-24T03:02:33.014400000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.13 -37.28 ... -34.11 -34.38</div><input id='attrs-b153c0f7-2136-4960-8aa7-d39834b093ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b153c0f7-2136-4960-8aa7-d39834b093ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71ea5fbf-b514-4050-806b-d0c81792f7f0' class='xr-var-data-in' type='checkbox'><label for='data-71ea5fbf-b514-4050-806b-d0c81792f7f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-39.13 , -37.282, -36.9  , -36.89 , -37.053, -36.658, -35.963,\n",
       "       -35.184, -34.462, -33.784, -32.972, -32.546, -32.428, -32.292,\n",
       "       -32.169, -31.998, -31.824, -31.624, -31.433, -31.312, -31.107,\n",
       "       -31.147, -31.044, -31.14 , -31.417, -31.882, -32.145, -32.487,\n",
       "       -32.537, -32.334, -32.042, -31.892, -31.861, -31.991, -31.883,\n",
       "       -31.89 , -31.941, -31.889, -31.724, -31.412, -31.786, -31.561,\n",
       "       -31.732, -31.553, -31.862, -32.389, -32.318, -32.19 , -32.224,\n",
       "       -32.368, -32.306, -32.305, -32.65 , -33.093, -33.263, -33.199,\n",
       "       -33.27 , -33.237, -33.221, -33.011, -32.844, -32.981, -32.784,\n",
       "       -32.607, -32.87 , -33.196, -33.524, -33.956, -33.944, -33.71 ,\n",
       "       -33.621, -33.552, -33.828, -34.11 , -34.38 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.19 46.72 46.45 ... 42.46 42.38</div><input id='attrs-ede86d3d-c92d-4963-8652-0cb91e560b9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ede86d3d-c92d-4963-8652-0cb91e560b9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-070eb7a0-6b78-416f-910c-1faa6116cc06' class='xr-var-data-in' type='checkbox'><label for='data-070eb7a0-6b78-416f-910c-1faa6116cc06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([47.187, 46.716, 46.45 , 46.23 , 45.459, 44.833, 44.452, 44.839,\n",
       "       44.956, 44.676, 44.13 , 43.644, 43.067, 42.662, 42.513, 42.454,\n",
       "       42.396, 42.256, 42.089, 41.944, 41.712, 41.571, 41.596, 41.581,\n",
       "       41.351, 41.032, 40.912, 40.792, 40.495, 40.383, 40.478, 40.672,\n",
       "       41.032, 40.864, 40.651, 40.425, 40.228, 40.197, 40.483, 40.311,\n",
       "       40.457, 40.463, 40.164, 40.047, 39.963, 40.122, 40.57 , 40.476,\n",
       "       40.527, 40.589, 40.749, 40.993, 41.162, 41.237, 41.448, 41.65 ,\n",
       "       42.053, 42.311, 42.096, 41.683, 41.661, 41.676, 42.018, 42.395,\n",
       "       42.532, 42.558, 42.504, 42.63 , 42.934, 42.952, 42.777, 42.722,\n",
       "       42.601, 42.457, 42.379])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de8f6b21-9abd-49ea-9c64-327f423530ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de8f6b21-9abd-49ea-9c64-327f423530ff' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.64 35.51 35.57 ... nan 34.94 nan</div><input id='attrs-f282fc9c-5ecf-40f7-b711-6144d7c4ba43' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f282fc9c-5ecf-40f7-b711-6144d7c4ba43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8f0f95b-a509-440e-a5fd-e4e82fd91db7' class='xr-var-data-in' type='checkbox'><label for='data-c8f0f95b-a509-440e-a5fd-e4e82fd91db7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.97 18.44 19.1 ... nan 3.714 nan</div><input id='attrs-51763c37-fe5b-4fd7-9b58-7eb97bccf6bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-51763c37-fe5b-4fd7-9b58-7eb97bccf6bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b9280e-41b1-4e8d-95cb-47115668b812' class='xr-var-data-in' type='checkbox'><label for='data-f5b9280e-41b1-4e8d-95cb-47115668b812' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[18.97400093, 18.43700027, 19.09900093, ..., 19.11300087,\n",
       "        21.82299995, 20.13100052],\n",
       "       [18.74099922, 18.39999962, 19.08200073, ..., 18.47200012,\n",
       "        19.45999908, 20.125     ],\n",
       "       [18.37000084, 18.37400055, 19.06500053, ..., 18.22999954,\n",
       "        19.26199913, 20.07699966],\n",
       "       ...,\n",
       "       [ 3.79299998,  3.81399989,  3.80200005, ...,  3.80699992,\n",
       "         3.81100011,  3.8599999 ],\n",
       "       [ 3.76399994,  3.77800012,  3.75699997, ...,  3.75399995,\n",
       "         3.74600005,  3.80599999],\n",
       "       [ 3.74399996,  3.74600005,  3.7249999 , ...,         nan,\n",
       "         3.71399999,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.8 6.1 6.5 5.0 ... nan 2e+03 nan</div><input id='attrs-834a7eb4-4ec9-4f30-906d-ef080227eb64' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-834a7eb4-4ec9-4f30-906d-ef080227eb64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5f268da-d58e-4f30-b0f4-ea46a7a891e8' class='xr-var-data-in' type='checkbox'><label for='data-f5f268da-d58e-4f30-b0f4-ea46a7a891e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[   6.80000019,    6.0999999 ,    6.5       , ...,    7.0999999 ,\n",
       "           7.20000029,    6.5       ],\n",
       "       [  10.69999981,   10.59999943,   10.39999962, ...,   10.79999924,\n",
       "          11.09999943,   10.39999962],\n",
       "       [  15.69999981,   14.09999943,   14.89999962, ...,   15.89999962,\n",
       "          15.59999943,   15.89999962],\n",
       "       ...,\n",
       "       [1900.60009766, 1900.        , 1900.19995117, ..., 1899.70007324,\n",
       "        1900.40002441, 1899.80004883],\n",
       "       [1949.90002441, 1950.        , 1949.89990234, ..., 1950.59997559,\n",
       "        1950.20007324, 1949.70007324],\n",
       "       [1999.30004883, 1998.        , 1998.5       , ...,           nan,\n",
       "        2000.40002441,           nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-189555c7-4884-45c9-8ebe-3a8d8bce798c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-189555c7-4884-45c9-8ebe-3a8d8bce798c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (date: 75, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "    lat          (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del argo['lon']\n",
    "argo.coords['lon'] = ('date', lon)\n",
    "argo.coords['lat'] = ('date', lat)\n",
    "argo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Coordinates vs. Data Variables\n",
    "\n",
    "Data variables can be modified through arithmentic operations or other functions. Coordinates are always keept the same."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (date: 75, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "    lat          (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 3.564e+05 3.551e+05 ... 3.494e+05 nan\n",
       "    temperature  (level, date) float64 1.897e+05 1.844e+05 ... 3.714e+04 nan\n",
       "    pressure     (level, date) float64 6.8e+04 6.1e+04 6.5e+04 ... nan 2e+07 nan</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-00862846-9a99-4c73-88f1-deca8a677404' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-00862846-9a99-4c73-88f1-deca8a677404' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 75</li><li><span class='xr-has-index'>level</span>: 78</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8ba1933b-9bdb-4a70-9b3b-e6309b23ae6d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8ba1933b-9bdb-4a70-9b3b-e6309b23ae6d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-c200f339-430a-4839-bc74-c8fc17b7b20b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c200f339-430a-4839-bc74-c8fc17b7b20b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a62cb181-b33e-40ee-8f87-42c34aafa87c' class='xr-var-data-in' type='checkbox'><label for='data-a62cb181-b33e-40ee-8f87-42c34aafa87c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-07-13T22:33:06.019200 ... 2...</div><input id='attrs-b2f4c3a5-69de-40d9-af77-f76797713116' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2f4c3a5-69de-40d9-af77-f76797713116' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-461cbf1e-92a0-4498-abee-136a478e6b5e' class='xr-var-data-in' type='checkbox'><label for='data-461cbf1e-92a0-4498-abee-136a478e6b5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-07-13T22:33:06.019200000&#x27;, &#x27;2012-07-23T22:54:59.990400000&#x27;,\n",
       "       &#x27;2012-08-02T22:55:52.003200000&#x27;, &#x27;2012-08-12T23:08:59.971200000&#x27;,\n",
       "       &#x27;2012-08-22T23:29:01.968000000&#x27;, &#x27;2012-09-01T23:17:38.976000000&#x27;,\n",
       "       &#x27;2012-09-12T02:59:18.960000000&#x27;, &#x27;2012-09-21T23:18:37.036800000&#x27;,\n",
       "       &#x27;2012-10-02T03:00:17.971200000&#x27;, &#x27;2012-10-11T23:13:27.984000000&#x27;,\n",
       "       &#x27;2012-10-22T02:50:32.006400000&#x27;, &#x27;2012-10-31T23:36:39.974400000&#x27;,\n",
       "       &#x27;2012-11-11T02:40:46.041600000&#x27;, &#x27;2012-11-20T23:08:29.990400000&#x27;,\n",
       "       &#x27;2012-12-01T02:47:51.993600000&#x27;, &#x27;2012-12-10T23:23:16.972800000&#x27;,\n",
       "       &#x27;2012-12-21T02:58:48.979200000&#x27;, &#x27;2012-12-30T23:07:23.030400000&#x27;,\n",
       "       &#x27;2013-01-10T02:56:43.008000000&#x27;, &#x27;2013-01-19T23:24:26.956800000&#x27;,\n",
       "       &#x27;2013-01-30T02:43:53.011200000&#x27;, &#x27;2013-02-08T23:15:27.043200000&#x27;,\n",
       "       &#x27;2013-02-19T01:12:50.976000000&#x27;, &#x27;2013-02-28T23:07:13.008000000&#x27;,\n",
       "       &#x27;2013-03-11T02:43:30.979200000&#x27;, &#x27;2013-03-20T23:17:22.992000000&#x27;,\n",
       "       &#x27;2013-03-31T01:50:38.025600000&#x27;, &#x27;2013-04-09T23:19:07.968000000&#x27;,\n",
       "       &#x27;2013-04-20T02:53:29.990400000&#x27;, &#x27;2013-04-29T23:28:33.024000000&#x27;,\n",
       "       &#x27;2013-05-10T02:50:18.009600000&#x27;, &#x27;2013-05-19T23:21:05.990400000&#x27;,\n",
       "       &#x27;2013-05-30T02:50:30.969600000&#x27;, &#x27;2013-06-08T23:32:49.027200000&#x27;,\n",
       "       &#x27;2013-06-19T03:42:51.004800000&#x27;, &#x27;2013-06-28T23:32:16.022400000&#x27;,\n",
       "       &#x27;2013-07-09T03:28:30.979199999&#x27;, &#x27;2013-07-18T23:33:57.974400000&#x27;,\n",
       "       &#x27;2013-07-29T03:15:42.019200000&#x27;, &#x27;2013-08-07T23:25:02.035200000&#x27;,\n",
       "       &#x27;2013-08-18T01:47:44.966400000&#x27;, &#x27;2013-08-28T03:02:59.020800000&#x27;,\n",
       "       &#x27;2013-09-07T03:03:51.984000000&#x27;, &#x27;2013-09-16T23:32:07.987200000&#x27;,\n",
       "       &#x27;2013-09-27T04:08:27.974400000&#x27;, &#x27;2013-10-06T23:25:39.964800000&#x27;,\n",
       "       &#x27;2013-10-17T02:55:50.995200000&#x27;, &#x27;2013-10-27T03:45:47.001600000&#x27;,\n",
       "       &#x27;2013-11-06T01:14:52.022400000&#x27;, &#x27;2013-11-16T03:29:54.009600000&#x27;,\n",
       "       &#x27;2013-11-26T03:03:56.995200000&#x27;, &#x27;2013-12-05T23:33:59.011200000&#x27;,\n",
       "       &#x27;2013-12-16T02:58:01.977600000&#x27;, &#x27;2013-12-25T23:22:43.017600000&#x27;,\n",
       "       &#x27;2014-01-05T02:52:06.009600000&#x27;, &#x27;2014-01-14T23:41:18.009600000&#x27;,\n",
       "       &#x27;2014-01-25T03:00:43.977600000&#x27;, &#x27;2014-02-03T23:29:13.977600000&#x27;,\n",
       "       &#x27;2014-02-14T02:50:11.961600000&#x27;, &#x27;2014-02-23T23:03:21.974400000&#x27;,\n",
       "       &#x27;2014-03-06T02:58:03.964800000&#x27;, &#x27;2014-03-15T23:10:28.012800000&#x27;,\n",
       "       &#x27;2014-03-26T02:51:22.032000000&#x27;, &#x27;2014-04-04T23:25:58.972800000&#x27;,\n",
       "       &#x27;2014-04-15T03:00:45.964800000&#x27;, &#x27;2014-04-24T23:24:40.003200000&#x27;,\n",
       "       &#x27;2014-05-05T02:56:22.012800000&#x27;, &#x27;2014-05-15T00:10:06.009600000&#x27;,\n",
       "       &#x27;2014-05-25T03:02:43.036800000&#x27;, &#x27;2014-06-03T23:34:53.961600000&#x27;,\n",
       "       &#x27;2014-06-14T03:01:23.980800000&#x27;, &#x27;2014-06-23T23:24:31.968000000&#x27;,\n",
       "       &#x27;2014-07-04T03:08:30.019200000&#x27;, &#x27;2014-07-13T23:47:43.008000000&#x27;,\n",
       "       &#x27;2014-07-24T03:02:33.014400000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.13 -37.28 ... -34.11 -34.38</div><input id='attrs-39a871a0-4fef-4939-9528-fb254e89baf9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39a871a0-4fef-4939-9528-fb254e89baf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1aca33d8-95a5-4f40-9298-dd9cbcd78295' class='xr-var-data-in' type='checkbox'><label for='data-1aca33d8-95a5-4f40-9298-dd9cbcd78295' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-39.13 , -37.282, -36.9  , -36.89 , -37.053, -36.658, -35.963,\n",
       "       -35.184, -34.462, -33.784, -32.972, -32.546, -32.428, -32.292,\n",
       "       -32.169, -31.998, -31.824, -31.624, -31.433, -31.312, -31.107,\n",
       "       -31.147, -31.044, -31.14 , -31.417, -31.882, -32.145, -32.487,\n",
       "       -32.537, -32.334, -32.042, -31.892, -31.861, -31.991, -31.883,\n",
       "       -31.89 , -31.941, -31.889, -31.724, -31.412, -31.786, -31.561,\n",
       "       -31.732, -31.553, -31.862, -32.389, -32.318, -32.19 , -32.224,\n",
       "       -32.368, -32.306, -32.305, -32.65 , -33.093, -33.263, -33.199,\n",
       "       -33.27 , -33.237, -33.221, -33.011, -32.844, -32.981, -32.784,\n",
       "       -32.607, -32.87 , -33.196, -33.524, -33.956, -33.944, -33.71 ,\n",
       "       -33.621, -33.552, -33.828, -34.11 , -34.38 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.19 46.72 46.45 ... 42.46 42.38</div><input id='attrs-a40e018d-0d73-4680-9b8c-41832516455e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a40e018d-0d73-4680-9b8c-41832516455e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-810e62db-319e-4307-b0ba-d5f46eccbb11' class='xr-var-data-in' type='checkbox'><label for='data-810e62db-319e-4307-b0ba-d5f46eccbb11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([47.187, 46.716, 46.45 , 46.23 , 45.459, 44.833, 44.452, 44.839,\n",
       "       44.956, 44.676, 44.13 , 43.644, 43.067, 42.662, 42.513, 42.454,\n",
       "       42.396, 42.256, 42.089, 41.944, 41.712, 41.571, 41.596, 41.581,\n",
       "       41.351, 41.032, 40.912, 40.792, 40.495, 40.383, 40.478, 40.672,\n",
       "       41.032, 40.864, 40.651, 40.425, 40.228, 40.197, 40.483, 40.311,\n",
       "       40.457, 40.463, 40.164, 40.047, 39.963, 40.122, 40.57 , 40.476,\n",
       "       40.527, 40.589, 40.749, 40.993, 41.162, 41.237, 41.448, 41.65 ,\n",
       "       42.053, 42.311, 42.096, 41.683, 41.661, 41.676, 42.018, 42.395,\n",
       "       42.532, 42.558, 42.504, 42.63 , 42.934, 42.952, 42.777, 42.722,\n",
       "       42.601, 42.457, 42.379])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b267ed89-2d25-4bb8-b5b5-1e7642e85916' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b267ed89-2d25-4bb8-b5b5-1e7642e85916' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.564e+05 3.551e+05 ... nan</div><input id='attrs-417b52a8-1579-42fb-bd1b-bf5eeca43938' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-417b52a8-1579-42fb-bd1b-bf5eeca43938' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b443cbf-94e9-4875-99a8-aba3214aaed7' class='xr-var-data-in' type='checkbox'><label for='data-0b443cbf-94e9-4875-99a8-aba3214aaed7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[356389.38903809, 355149.57427979, 355729.71343994, ...,\n",
       "        358209.38110352, 357779.38842773, 356689.10980225],\n",
       "       [356339.37835693, 355219.57397461, 355739.70794678, ...,\n",
       "        358109.32159424, 355838.96636963, 356679.11529541],\n",
       "       [356819.45800781, 355259.59014893, 355729.71343994, ...,\n",
       "        357959.28955078, 356629.06646729, 356659.12628174],\n",
       "       ...,\n",
       "       [349158.59222412, 349239.04418945, 349239.04418945, ...,\n",
       "        349348.10638428, 349408.11157227, 349468.07861328],\n",
       "       [349158.59222412, 349239.04418945, 349219.05517578, ...,\n",
       "        349328.07922363, 349368.09539795, 349438.09509277],\n",
       "       [349178.58123779, 349239.04418945, 349239.04418945, ...,\n",
       "                    nan, 349368.09539795,             nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.897e+05 1.844e+05 ... nan</div><input id='attrs-6d913256-2dd8-4402-9093-fd1503baf884' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d913256-2dd8-4402-9093-fd1503baf884' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e47adc4-f600-4631-9d35-dd95dc5f8213' class='xr-var-data-in' type='checkbox'><label for='data-7e47adc4-f600-4631-9d35-dd95dc5f8213' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[189740.00930786, 184370.00274658, 190990.00930786, ...,\n",
       "        191130.00869751, 218229.99954224, 201310.00518799],\n",
       "       [187409.99221802, 183999.9961853 , 190820.00732422, ...,\n",
       "        184720.0012207 , 194599.99084473, 201250.        ],\n",
       "       [183700.00839233, 183740.00549316, 190650.00534058, ...,\n",
       "        182299.99542236, 192619.99130249, 200769.99664307],\n",
       "       ...,\n",
       "       [ 37929.99982834,  38139.99891281,  38020.00045776, ...,\n",
       "         38069.99921799,  38110.00108719,  38599.99895096],\n",
       "       [ 37639.99938965,  37780.00116348,  37569.99969482, ...,\n",
       "         37539.99948502,  37460.00051498,  38059.99994278],\n",
       "       [ 37439.99958038,  37460.00051498,  37249.99904633, ...,\n",
       "                    nan,  37139.99986649,             nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.8e+04 6.1e+04 ... 2e+07 nan</div><input id='attrs-5a5d3733-f89a-4d97-830d-2836aa5f0833' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a5d3733-f89a-4d97-830d-2836aa5f0833' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-896b6af8-b0b3-4610-b05c-a06057165734' class='xr-var-data-in' type='checkbox'><label for='data-896b6af8-b0b3-4610-b05c-a06057165734' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[   68000.00190735,    60999.99904633,    65000.        , ...,\n",
       "           70999.99904633,    72000.00286102,    65000.        ],\n",
       "       [  106999.99809265,   105999.99427795,   103999.9961853 , ...,\n",
       "          107999.99237061,   110999.99427795,   103999.9961853 ],\n",
       "       [  156999.99809265,   140999.99427795,   148999.9961853 , ...,\n",
       "          158999.9961853 ,   155999.99427795,   158999.9961853 ],\n",
       "       ...,\n",
       "       [19006000.9765625 , 19000000.        , 19001999.51171875, ...,\n",
       "        18997000.73242188, 19004000.24414062, 18998000.48828125],\n",
       "       [19499000.24414062, 19500000.        , 19498999.0234375 , ...,\n",
       "        19505999.75585938, 19502000.73242188, 19497000.73242188],\n",
       "       [19993000.48828125, 19980000.        , 19985000.        , ...,\n",
       "                      nan, 20004000.24414062,               nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-98eb07cf-7d83-4207-83c5-8999fe441f5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-98eb07cf-7d83-4207-83c5-8999fe441f5a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (date: 75, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "    lat          (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 3.564e+05 3.551e+05 ... 3.494e+05 nan\n",
       "    temperature  (level, date) float64 1.897e+05 1.844e+05 ... 3.714e+04 nan\n",
       "    pressure     (level, date) float64 6.8e+04 6.1e+04 6.5e+04 ... nan 2e+07 nan"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "argo * 10000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clearly lon and lat are coordinates rather than data variables. We can change their status as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
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       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (date: 75, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "    lat          (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-935b2b68-7313-43be-8400-53655cee89de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-935b2b68-7313-43be-8400-53655cee89de' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 75</li><li><span class='xr-has-index'>level</span>: 78</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8cc6b8a5-3aef-4a79-a388-4390b95f0e4d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8cc6b8a5-3aef-4a79-a388-4390b95f0e4d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-96ea4c8d-adf3-41e3-9fd4-918e0e7089c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96ea4c8d-adf3-41e3-9fd4-918e0e7089c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-475a09e1-6580-4e86-973f-dc6fc81ec14c' class='xr-var-data-in' type='checkbox'><label for='data-475a09e1-6580-4e86-973f-dc6fc81ec14c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-07-13T22:33:06.019200 ... 2...</div><input id='attrs-a82d91db-9bf8-4e8e-a34b-0c9523528cd2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a82d91db-9bf8-4e8e-a34b-0c9523528cd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4a657e0-18fc-4faf-b98f-a95dc6dece79' class='xr-var-data-in' type='checkbox'><label for='data-d4a657e0-18fc-4faf-b98f-a95dc6dece79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-07-13T22:33:06.019200000&#x27;, &#x27;2012-07-23T22:54:59.990400000&#x27;,\n",
       "       &#x27;2012-08-02T22:55:52.003200000&#x27;, &#x27;2012-08-12T23:08:59.971200000&#x27;,\n",
       "       &#x27;2012-08-22T23:29:01.968000000&#x27;, &#x27;2012-09-01T23:17:38.976000000&#x27;,\n",
       "       &#x27;2012-09-12T02:59:18.960000000&#x27;, &#x27;2012-09-21T23:18:37.036800000&#x27;,\n",
       "       &#x27;2012-10-02T03:00:17.971200000&#x27;, &#x27;2012-10-11T23:13:27.984000000&#x27;,\n",
       "       &#x27;2012-10-22T02:50:32.006400000&#x27;, &#x27;2012-10-31T23:36:39.974400000&#x27;,\n",
       "       &#x27;2012-11-11T02:40:46.041600000&#x27;, &#x27;2012-11-20T23:08:29.990400000&#x27;,\n",
       "       &#x27;2012-12-01T02:47:51.993600000&#x27;, &#x27;2012-12-10T23:23:16.972800000&#x27;,\n",
       "       &#x27;2012-12-21T02:58:48.979200000&#x27;, &#x27;2012-12-30T23:07:23.030400000&#x27;,\n",
       "       &#x27;2013-01-10T02:56:43.008000000&#x27;, &#x27;2013-01-19T23:24:26.956800000&#x27;,\n",
       "       &#x27;2013-01-30T02:43:53.011200000&#x27;, &#x27;2013-02-08T23:15:27.043200000&#x27;,\n",
       "       &#x27;2013-02-19T01:12:50.976000000&#x27;, &#x27;2013-02-28T23:07:13.008000000&#x27;,\n",
       "       &#x27;2013-03-11T02:43:30.979200000&#x27;, &#x27;2013-03-20T23:17:22.992000000&#x27;,\n",
       "       &#x27;2013-03-31T01:50:38.025600000&#x27;, &#x27;2013-04-09T23:19:07.968000000&#x27;,\n",
       "       &#x27;2013-04-20T02:53:29.990400000&#x27;, &#x27;2013-04-29T23:28:33.024000000&#x27;,\n",
       "       &#x27;2013-05-10T02:50:18.009600000&#x27;, &#x27;2013-05-19T23:21:05.990400000&#x27;,\n",
       "       &#x27;2013-05-30T02:50:30.969600000&#x27;, &#x27;2013-06-08T23:32:49.027200000&#x27;,\n",
       "       &#x27;2013-06-19T03:42:51.004800000&#x27;, &#x27;2013-06-28T23:32:16.022400000&#x27;,\n",
       "       &#x27;2013-07-09T03:28:30.979199999&#x27;, &#x27;2013-07-18T23:33:57.974400000&#x27;,\n",
       "       &#x27;2013-07-29T03:15:42.019200000&#x27;, &#x27;2013-08-07T23:25:02.035200000&#x27;,\n",
       "       &#x27;2013-08-18T01:47:44.966400000&#x27;, &#x27;2013-08-28T03:02:59.020800000&#x27;,\n",
       "       &#x27;2013-09-07T03:03:51.984000000&#x27;, &#x27;2013-09-16T23:32:07.987200000&#x27;,\n",
       "       &#x27;2013-09-27T04:08:27.974400000&#x27;, &#x27;2013-10-06T23:25:39.964800000&#x27;,\n",
       "       &#x27;2013-10-17T02:55:50.995200000&#x27;, &#x27;2013-10-27T03:45:47.001600000&#x27;,\n",
       "       &#x27;2013-11-06T01:14:52.022400000&#x27;, &#x27;2013-11-16T03:29:54.009600000&#x27;,\n",
       "       &#x27;2013-11-26T03:03:56.995200000&#x27;, &#x27;2013-12-05T23:33:59.011200000&#x27;,\n",
       "       &#x27;2013-12-16T02:58:01.977600000&#x27;, &#x27;2013-12-25T23:22:43.017600000&#x27;,\n",
       "       &#x27;2014-01-05T02:52:06.009600000&#x27;, &#x27;2014-01-14T23:41:18.009600000&#x27;,\n",
       "       &#x27;2014-01-25T03:00:43.977600000&#x27;, &#x27;2014-02-03T23:29:13.977600000&#x27;,\n",
       "       &#x27;2014-02-14T02:50:11.961600000&#x27;, &#x27;2014-02-23T23:03:21.974400000&#x27;,\n",
       "       &#x27;2014-03-06T02:58:03.964800000&#x27;, &#x27;2014-03-15T23:10:28.012800000&#x27;,\n",
       "       &#x27;2014-03-26T02:51:22.032000000&#x27;, &#x27;2014-04-04T23:25:58.972800000&#x27;,\n",
       "       &#x27;2014-04-15T03:00:45.964800000&#x27;, &#x27;2014-04-24T23:24:40.003200000&#x27;,\n",
       "       &#x27;2014-05-05T02:56:22.012800000&#x27;, &#x27;2014-05-15T00:10:06.009600000&#x27;,\n",
       "       &#x27;2014-05-25T03:02:43.036800000&#x27;, &#x27;2014-06-03T23:34:53.961600000&#x27;,\n",
       "       &#x27;2014-06-14T03:01:23.980800000&#x27;, &#x27;2014-06-23T23:24:31.968000000&#x27;,\n",
       "       &#x27;2014-07-04T03:08:30.019200000&#x27;, &#x27;2014-07-13T23:47:43.008000000&#x27;,\n",
       "       &#x27;2014-07-24T03:02:33.014400000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.13 -37.28 ... -34.11 -34.38</div><input id='attrs-ee69abc6-dd60-4705-8ff0-6eef24063b28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee69abc6-dd60-4705-8ff0-6eef24063b28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-136d7cff-c5db-451c-890c-1fd7844b41ac' class='xr-var-data-in' type='checkbox'><label for='data-136d7cff-c5db-451c-890c-1fd7844b41ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-39.13 , -37.282, -36.9  , -36.89 , -37.053, -36.658, -35.963,\n",
       "       -35.184, -34.462, -33.784, -32.972, -32.546, -32.428, -32.292,\n",
       "       -32.169, -31.998, -31.824, -31.624, -31.433, -31.312, -31.107,\n",
       "       -31.147, -31.044, -31.14 , -31.417, -31.882, -32.145, -32.487,\n",
       "       -32.537, -32.334, -32.042, -31.892, -31.861, -31.991, -31.883,\n",
       "       -31.89 , -31.941, -31.889, -31.724, -31.412, -31.786, -31.561,\n",
       "       -31.732, -31.553, -31.862, -32.389, -32.318, -32.19 , -32.224,\n",
       "       -32.368, -32.306, -32.305, -32.65 , -33.093, -33.263, -33.199,\n",
       "       -33.27 , -33.237, -33.221, -33.011, -32.844, -32.981, -32.784,\n",
       "       -32.607, -32.87 , -33.196, -33.524, -33.956, -33.944, -33.71 ,\n",
       "       -33.621, -33.552, -33.828, -34.11 , -34.38 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.19 46.72 46.45 ... 42.46 42.38</div><input id='attrs-fc0ea5ea-be27-4b9a-88d2-a55152c8b0a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc0ea5ea-be27-4b9a-88d2-a55152c8b0a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c087c5f-2542-43ae-b8e5-fbfad1196583' class='xr-var-data-in' type='checkbox'><label for='data-8c087c5f-2542-43ae-b8e5-fbfad1196583' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([47.187, 46.716, 46.45 , 46.23 , 45.459, 44.833, 44.452, 44.839,\n",
       "       44.956, 44.676, 44.13 , 43.644, 43.067, 42.662, 42.513, 42.454,\n",
       "       42.396, 42.256, 42.089, 41.944, 41.712, 41.571, 41.596, 41.581,\n",
       "       41.351, 41.032, 40.912, 40.792, 40.495, 40.383, 40.478, 40.672,\n",
       "       41.032, 40.864, 40.651, 40.425, 40.228, 40.197, 40.483, 40.311,\n",
       "       40.457, 40.463, 40.164, 40.047, 39.963, 40.122, 40.57 , 40.476,\n",
       "       40.527, 40.589, 40.749, 40.993, 41.162, 41.237, 41.448, 41.65 ,\n",
       "       42.053, 42.311, 42.096, 41.683, 41.661, 41.676, 42.018, 42.395,\n",
       "       42.532, 42.558, 42.504, 42.63 , 42.934, 42.952, 42.777, 42.722,\n",
       "       42.601, 42.457, 42.379])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da9466ef-7378-44ac-bd97-a362f76a313b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-da9466ef-7378-44ac-bd97-a362f76a313b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.64 35.51 35.57 ... nan 34.94 nan</div><input id='attrs-2860ce06-7575-4cfb-ae70-cb6ee78c61ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2860ce06-7575-4cfb-ae70-cb6ee78c61ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73a52627-6fcb-4bc5-be6e-51a910c1aa0e' class='xr-var-data-in' type='checkbox'><label for='data-73a52627-6fcb-4bc5-be6e-51a910c1aa0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.97 18.44 19.1 ... nan 3.714 nan</div><input id='attrs-986218ff-3a1a-4a65-bb67-cad54dbaf764' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-986218ff-3a1a-4a65-bb67-cad54dbaf764' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65f55c7a-5b30-43b3-9a18-e5b59789e13b' class='xr-var-data-in' type='checkbox'><label for='data-65f55c7a-5b30-43b3-9a18-e5b59789e13b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[18.97400093, 18.43700027, 19.09900093, ..., 19.11300087,\n",
       "        21.82299995, 20.13100052],\n",
       "       [18.74099922, 18.39999962, 19.08200073, ..., 18.47200012,\n",
       "        19.45999908, 20.125     ],\n",
       "       [18.37000084, 18.37400055, 19.06500053, ..., 18.22999954,\n",
       "        19.26199913, 20.07699966],\n",
       "       ...,\n",
       "       [ 3.79299998,  3.81399989,  3.80200005, ...,  3.80699992,\n",
       "         3.81100011,  3.8599999 ],\n",
       "       [ 3.76399994,  3.77800012,  3.75699997, ...,  3.75399995,\n",
       "         3.74600005,  3.80599999],\n",
       "       [ 3.74399996,  3.74600005,  3.7249999 , ...,         nan,\n",
       "         3.71399999,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.8 6.1 6.5 5.0 ... nan 2e+03 nan</div><input id='attrs-c2f4abae-5c18-4f1f-8185-14cf1042776e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2f4abae-5c18-4f1f-8185-14cf1042776e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47fee86f-4ea1-4198-b08b-737d63c068f9' class='xr-var-data-in' type='checkbox'><label for='data-47fee86f-4ea1-4198-b08b-737d63c068f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[   6.80000019,    6.0999999 ,    6.5       , ...,    7.0999999 ,\n",
       "           7.20000029,    6.5       ],\n",
       "       [  10.69999981,   10.59999943,   10.39999962, ...,   10.79999924,\n",
       "          11.09999943,   10.39999962],\n",
       "       [  15.69999981,   14.09999943,   14.89999962, ...,   15.89999962,\n",
       "          15.59999943,   15.89999962],\n",
       "       ...,\n",
       "       [1900.60009766, 1900.        , 1900.19995117, ..., 1899.70007324,\n",
       "        1900.40002441, 1899.80004883],\n",
       "       [1949.90002441, 1950.        , 1949.89990234, ..., 1950.59997559,\n",
       "        1950.20007324, 1949.70007324],\n",
       "       [1999.30004883, 1998.        , 1998.5       , ...,           nan,\n",
       "        2000.40002441,           nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e5b0e6e-e1c4-433e-9be3-859ea3f91505' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6e5b0e6e-e1c4-433e-9be3-859ea3f91505' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (date: 75, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "    lat          (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "argo = argo.set_coords(['lon', 'lat'])\n",
    "argo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The bold format in the representation above indicates that `level` and `date` are \"dimension coordinates\" (they describe the coordinates associated with data variable axes) while `lon` and `lat` are \"non-dimension coordinates\". We can make any variable a non-dimension coordiante."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Working with Labeled Data\n",
    "\n",
    "Xarray's labels make working with multidimensional data much easier.\n",
    "\n",
    "### Selecting Data (Indexing)\n",
    "\n",
    "We can always use regular numpy indexing and slicing on DataArrays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc7a11027c0>]"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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O6jebDmZ8HwAUnswfzWau3lo7GH2jMeaLkj4p6ROSPuDc9TVJr5L0JUn/ZK0NRj2uLMHXvUvSV6y1z0Q9/kJ5gcxXjTE/tdZydAaAHPS9R8ZrHa5cN0dtjVVTPqYkYFRXUaqeoVFZ652EN1Qn9mfDl3koz8ycB1cgYPTWsxbri7/bJsmbOP2GDQuneBQATC7vMg+xAoeQn4S+rwzfYIxZLun9kp6U9KnowCH0fCMJvu4t0YFD6PY/SbpfUrmkcxN5LgBAZnntWfdFrt9w7tKEH1tfNR4sdA0k9CdDUnZrHsL+Yv0ClZd6f+o37evSs/u6srIfAApH3gUPk3h16Ptm57Y3y/sZvyep3hjzNmPMJ4wxNxpjVqTwtcN/TRJaUGqMeTrWl6TVKdwnAEDIT54ab8+6dl69NixpmuIR4xqdTEPnwHDCj8tmt6Ww5ppyXXPS+OC72x/braHRMQ2O+L8Ghr2vZJZlAShO+bhsSZJkjPmYpFpJDfJqF86XFzh82dlsQ+h7g6SXJbkF1dYY81+SPmytnfb4TWPMYkmXSuqXV0cBAMgh0e1Zb4jRnnUyDdPMPPjmPGSh5iHsrWctigzF+/FTe/Xjp/bG3XZ2XYVueucZOnlBY4b2DkC+yefMw8ckfVbSR+QFDndJusJae9TZJlzp9nlJT0k6SVKdvJP9l+XVRnx6ujtgjKmQV7BdIelz1tqORB5nrV0f60vS9unuCwAgtnu3Hda+Dq89a1N1mV5zauz2rPGkInjI1rIlSVq/uEmr5tQltO3RniF94Psbk/o5ARSXvA0erLVzrbVGXgel10paJukZY8zpzmbhCrWDkq631m6x1vZaa++T9DpJQUl/a4wpT/b1jTElkm6TdJ6kH0v6l+n/NACAdLnlkV2Ry286c9Gk7VljmW7w0JMDy5YkyRijz71mndoaKlVWYlRWYlReElB5qfdVURpQZVlA4WTMvo4B/eP/bpa1LGECMFHeLlsKs9YelnSHMWajpBck3SrpxNDd4UzAXdbagajHbTLG7JS0XNIaSZsSfc1Q4HC7pNfLK9R+m+UoCwA55/lDPXrk5eTas0ZLybKlLAYPknTO8hY98olLJ93mri0H9f7bN0qS7txySLc/tltvP2dJBvYOQD7J28xDNGvtbklbJa0zxswK3fx86HtnnIeFg4up+/WFGGNKJf1Q0pvkzYx4i7WWyTsAkIO+9+iuyOUr1s7R/ATas0ZzW7N29ScTPIyX02Vz2VKirjpxnt5xznhw9YXfbtNzB+jOBMCvYIKHkPBC1vAR+97Q9xOjNwzVK4Tbuu5K5MlDy5t+Ji/jcKukt8+k2BoAkF5N1WWqC52433Dukmk9x3QyD8GgVd9wduc8TMcnX7lGa+fVS5KGR4P66x8848ugAEBeBQ/GmNXGmLkxbg+EhsS1SnrEKVy+U9IOSVcaYy6Petin5XVh+pO19pDzXA2h15nnbhwKNu6QdK2kmyS9K9bcCABA7vj4lav16Ccv1b+98RSdubR5Ws8xneChf2RM4cWslWUBlZbkx5/byrISffMtp6k6FOzsONanT/9iS5b3CkAuyf08qt9V8iY5PyCvW9JxSXMkXSivYPqQpPeGN7bWDhtj3inpD5LuNMbcIWm3vBauF0g6KunGqNe4XtLN8mZD3ODc/t+SXinpmKT9kj4To9Xf/dba+2f6QwIAUqe2olTXn7Zg2o+fTvDgr3dIbCJ1rlg2u1b/57oT9bc/8UoBf/7Mfp27YpZet3767yGAwpFvwcM9kr4lr8PRKZIaJfXJK5S+TdI3rLXt7gOstQ8ZY86Q19b14tBjDoee5wvW2n1KTHgc6SxJn5lku/sTfD4AQB6YTvDgHxCXH0uWXK89fYEeefm4fva09yfy07/YolMXNmhFa2ItXwEUrrwKHqy1WyR9cBqP2yrpjQlue4ukW2LcflGyrwsAyH+NVePdvDsTLJjOlRkPM/H5a9fpmT0devlonwZGxvShHzyjX3zwvKRb3QIoLPmxCBMAgCxxMw/diWYeBvM/eKguL9U333K6yku9U4Xth3r0hd9szfJeAcg2ggcAACZRV1kaGaDWMzSqseDUY33cZUt1eRo8SNKaefX67KvXRq5///E9+sNzhyZ5BIBCR/AAAMAkAgHjCwASyT742rTmcfAgSW85c5GuOWm8AeHtj+/J4t4AyDaCBwAApuAbFJdA8NCbZwPiJmOM0d9ftSpy/Zk9HQomkH0BUJgIHgAAmIKvaDqR4GEwv7stRVvUXK2WGu896Bkc1Y5jvVneIwDZQvAAAMAUkm3Xms9zHmIxxui0RY2R6xv3dGZtXwBkF8EDAABTSDZ46PW1as3/zIMknbaoKXL5GYIHoGgRPAAAMIX6GWUe8rvmIczNPDyzpyN7OwIgqwgeAACYgi/z0D885fa9BTAkLtrJCxoVCLWsfeFwj+9nBFA8CB4AAJhCY9LdlpzMQ2VhBA+1FaU6YU6dJClopc37OrO7QwCyguABAIApzKxgujCCB4m6BwAEDwAATCn54MGZ81BeSMFDY+QywQNQnAgeAACYwky6LdUVyLIlSTo9qmjaWobFAcWG4AEAgCm4wUNnf7KtWgsneFg2qzYSDB3vG9be9oEs7xGATCN4AABgCm7w0D1F5sFa66t5KJQ5D5IUCBidurAxcv2ZvbRsBYoNwQMAAFNoSKLb0tBoUKNBbzlPWYlRRWnhBA+SdDpF00BRI3gAAGAKteWlkRkHfcNjGhkLxt22t0A7LYUxLA4obgQPAABMIRAwvinTky1d6ivQeocwd9nScwe6NTgyFn9jAAWH4AEAgAT4iqYnCR4KPfPQWF2uZbNrJEmjQavnDnRleY8AZBLBAwAACWhMsF1r72BhZx4k6bSF1D0AxYrgAQCABNQnGDz0DRd25kFiWBxQzAgeAABIQKLtWnud6dLFETxQNA0UE4IHAAASkOiguEKd8eBaNadO1eXez3aga1CHugazvEcAMoXgAQCABDRQ8xBRWhLQyQsaItfJPgDFg+ABAIAENCY4KM7ttlRXoMGDJJ3mDovb25m9HQGQUQQPAAAkINHMQ6HPeQg7zZn3QOYBKB4EDwAAJCDh4GG4OIKHU52i6c37uiadug2gcBA8AACQAF+r1kkKpnucmoe6ysINHlrrKrWgqUqSNDQa1PaDPVneIwCZQPAAAEACprVsqbxwgwcpuu6BpUtAMSB4AAAgAY3V5ZHLkwcP43MeCnnZkhRd99CZtf0AkDkEDwAAJCDhVq1DhT9hOoxhcUDxIXgAACABNeUlKgkYSdLAyJiGRsdibucLHgq45kGS1rU1qLzUO5XYdbxf7X3DWd4jAOlG8AAAQAKMMQllH4phwnRYeWlAJ7bVR66TfQAKH8EDAAAJcoOH7jjBQzEtW5KiiqapewAKXuEf1QAASJGpMg8jY0ENjXrzDgJGqior7MyDFFX3EKfj0tDomL770C799tkDOmtpiz75yjWRJWAA8gvBAwAACZoqeIieLm1M4Z8gu5mHTXu7NBa0kcDAWqu7tx7WF3+3TbuP90uStuzvVltjld59/tKs7C+AmWHZEgAACZoqeCi2JUuS1NZQqda6Cknez//SkV5J0guHe/T2m57Qjbc9HQkcwr76++3aeawv4/sKYOYIHgAASJAbPHTGmDJdTDMewowxvqVLf3z+iD77yy26+usP6qGXjkVub6gq08JmbyL14EhQH//pJo0FbaZ3F8AMETwAAJCgZDIPxRI8SP6lS1++c7u+9+juSGAQMNI7zlms+z92kf7rretVGlrS9NTuDt3yyK5s7C6AGSB4AAAgQY3ViQcPdUUUPJzuBA+uc5a16Hd/8wp9/toT1VRTrhPnN+gDF6+I3M/yJSD/EDwAAJCg+qQKpgu/01LYSfMbVFk2fkqxsLlK//229frBe8/S6rn1vm0/dPEKrZ5bJyn/li9Za/W/T+/TD5/Yo5GxYLZ3B8iK4vlYBACAGfItW4pR81Csy5aqykv05deerB88sUcXrZqtvzxvqSrjtKktLw3oX15/iq77z4c1GrSR5Uv50H3p15sP6u9+ukmSVGKM3rBhYZb3CMg8Mg8AACQomVatxdJtKey60+brJ+87Rx+4aEXcwCEsX5cv/Xbzgcjlp3czTRvFieABAIAETVkwPVi8wUOyPnTxCq2Z5y1pyoflS2NBq0dePh65vq+zf5KtgcJF8AAAQIKmLJgeLs5lS9PhLV86OW+6L23e16keJzjc1zGQxb0BsofgAQCABLFsKbXWteXP8qWHXjzmu36gcyCnMyVAuhA8AACQoKqyEpWVeJ+UD40GNTgy5rvfHRJH8JCYfFm+9OBL/uBhZMzqSM9glvYGyB6CBwAAEmSMmTT74C5rYdlSYvJh+VLf0Kie2TOxQJqlSyhGBA8AACRhslkPLFuaHnf5Uk15Sc4N2Ht853GNjE3MhuwneEARyq3/nQAA5LjGyYKH4eIcEpcKH7p4hTr6hvW+C5dpQVN1tnfH50Gn3iFgpPCqqn0ddFxC8SHzAABAEiYbFOcOiaur5PO5ZJSXBvSF607MucBB8hdLX7yqNXKZZUsoRgQPAAAkwQ0eOqMyD73UPBScQ12DevFIrySpvCSg156+IHIfwQOKEcEDAABJmKxg2q15IHgoDA85XZbWL27Syjm1kessW0IxIngAACAJ8YKHYNCqb3i8VWtNOcFDIXjYCR7OXzlL8xurItcPdA4qmINtZYF0IngAACAJDdXlkcvdTvDQ78x8qC4vUUmo9Sjyl7XWl3l4xcpZqqkoVVNo0vjwWFBHe4eytXtAVhA8AACQhHiZB+odCs/zh3t0tMcLDhqry7SurUGSfEXdLF1CsSF4AAAgCb6C6f7hyOVeZjwUHLfL0nnLZ0WySQuaxpcuUTSNYkPwAABAEuJlHvzF0sx4KATufIfzV86KXCZ4QDEjeAAAIAlxly2ReSgoQ6Njenzn8cj181e4wYO7bIngAcWF4AEAgCQ0VrvBw3jAQPBQWJ7e3aHBkaAkaUlLtRY2jwcMbsclah5QbAgeAABIgj/zMCxrvVadzHgoLA/FWbIkSQuax4OH/WQeUGQIHgAASEJlWYnKS70/nyNjVgOhFq0ED4XFbdF6/orZvvt8mYfOAWY9oKgQPAAAkKRYdQ89TvBQR/CQ1zr7h/Xs/i5JUsBI5yxv8d1fV1kWWb42PBrUMWY9oIgQPAAAkKRYwQOZh9wxNsNMwCMvH1doNZpOWdjo+/cO83Vc6mTpEooHwQMAAElqdIOH/nDwMD5hmuAh8+5//oiu/c+HdfoX7tY//eLZGT2X26L1FStmxdzGXzRN8IDiwdENAIAk+QbFhTIPvSxbyqrRMatNezslSXvbZ3Yy/9BLRyOXz4sTPDBlGsWKzAMAAEmKtWypd5BlS9nktlLdO4OT+d3H+yLBR3V5iU5b1BRzu0IeFBcMWr10pCfSSQxwETwAAJCkeid46A7XPAwzYTqb3JP5A50D0657cJcsnb2sJdJZa+LrFe6guBtve0qX/esD+psf/Tnbu4IcRPAAAECSYmYeGBKXVTUVpWqpKZfktdA91D04refxzXeIs2RJis48FM6ypZ7BEd2z7Ygk6TebD8y4+ByFh+ABAJA1tz66S5/4+Wb98s/71TM4ku3dSZh/yvTEbku1lQQP2bDAXbrUnvwJ/VjQ6pGXnWLplfGDh/lN/kFxhbLE52jPeNvZoJU6+oezuDfIRRzdAABZ8eSudn3ml89Jkn74xF6VlRidu3yWrlw3V5evnaPZdRVZ3sP4fAXT/TFqHsr585oNC5uqnKLpfp29rGXyB0TZvK9T3aF/xzn1FVrRWht32/rKMtVXlqp7cFRDo0Ed6x3O6d/ZRLnBgyS19w1rVm3+/1xIHY5uAICsuGfbYd/1kTGrP71wVH964ag+9YtntX5Rk65cN1dXrpurRS3VcZ4lO1i2lJsW+Yqmk69DeDhqqrQxZtLtFzRVa+vBbkne0qVCCB6O9fozDcd7h6U5WdoZ5CSWLQEAsuLBF8ZP1Nz145JkrfTU7g598XfbdMFX/6ir/v0BPb27I9O7GFd08GCtVd8wcx6yze24tG8ay5Yeful45PJkS5bCCrHj0tEef61Iex/LluDH0Q0AkHFHe4Yin9iWBozu+sgF6ugb1h+2Htbvnzukp3a1y63T3H6oR7NzaOlEQ1S3paHRYKSwtLw0ELdDD9JrYdPM2rW+eKQ3cnn94tgtWl2F2HHpaG/0sqWhOFuiWBE8AAAyzh3CdfriJtVWlKq2olTvPn+p3n3+Uh3rHdK92w7r988d1kMvHtOy2TU5tXSpIapgumeQJUu5YGHzeCYg2UFxPYMjOhY6cS4vCaitsWqKR/gzD/s7C6PjUnTNw3EyD4jCEQ4AkHHukqULT5g94f5ZtRV644ZFeuOGReodGtXBztz6VDd6wrTbaYkZD9nT1lilgPG6BB3uGdTQ6JgqShP799h9fPzkf2FzlUoCk9c7SP6OSwWTeYhRMA24yKsCADIqGLR64MXE2mFK3if5K+fUpXu3klJRWqLKMu9P6FjQ6ohzwkWnpewpKwloXoN3Qm+t10I1UW7wsKSlJqHHFGLNw4SCaYIHRCF4AABk1PZDPZHlIU3VZVrX1pDlPZoeN/vgLlmpY8ZDVrkn9Ml0XNp1vC9yecmsRIMHt+ahvyBmPUzIPPQSPMCP4AEAkFEPvjhe73D+ytkJLQ/JRb7gwTlJpdNSdi2c5qC43W7wkGB9TUNVWSRYHBwJ5v2n9MGgjQT2YccpmEYUggcAQEY94AQPibTDzFWNVeWRy/s7x9tbEjxk13Q7Lu06Nr7t4gSXLUn+7EMyy6RyUefAiEaD/uwJNQ+IRvAAAMiYgeExPblzfF5DPgcP9U7m4YBT0F1LzUNWuR2X9iXRccm3bCmJ4GF+Y+HUPUQvWZKkjv4RBYP5vxwLqUPwABSRY71D+uZ9L/qmqAKZ9PjO4xoeC0qSTphTGyluzUf+mgcneKDmIat8y5YSzDz0D49Git5LA0ZtjZUJv56/aDq/27VGL1mSvIYA4SnqgESrVqCo/N/fbdPPN+6XJH39Tafq2lPnZ3mPUGweeMHtsjSxRWs+aYiTeWDZUnb5li0lWPPgdlpa1Fyt0pLEP1stpI5LsTIPktdxqammPOZ9KD5kHoAi8tSu8eUif/+zzdq0tzN7O4Oi9GCB1DtI/uChf3gscrmWOQ9Z1VpXEZnw3dE/ol5nBkc8u46NL1lanOQwwuiOS/ksXvBA3QNcBA9AkRgLWt+no0OjQb331qd0qGtwkkcB8T2zp0NX/fsD+thPN2l4NDjl9ge7BvTikV5JUnlpQGctbUn3LqZVozNl2lVbEft2ZEYgYLSg0Z00PfUJ/a7j0yuWlqKnTOd55iHGsiVJaqfjEhwED0CRONQ9OKGLxpGeId1421MaHBmL8yggtmDQ6u9+sknbD/XoZ0/v0y2P7JzyMQ86g+HOXNKsqvL8/oTezTy4mDCdfQuSbNc6nTatkdeKWraUz7Me3MxDubN0K99b0CK1CB6AIrHP+QM6q7Y80lt/874uffxnm/P6Dx4y7/4XjmiHs9TjP+59KWaxpeuBFwpnyZIUP3iopeYh6xYmOSjO7bS0OMEBcWENVWWRf/P+4TF19OdvcbEbPCxvrY1cZlAcXAQPQJFw/4Ces3yWPvfqtZHrv950QN+876Vs7Bby1E0P+TMNPUOj+te7X4i7/VjQ6qGXCqdYWvK3anVRMJ19yQ6Kcwumlya5bMkYUzAdl9wPAFbPrYtcJvMAF8EDUCTcP2gLmqr09nOW6G1nL4rc9rW7X9BdWw5mY9eQZ7Yd7NbDLx2fcPuPntij7Ye6Yz7muQNd6gx9IjurtkJr5tXF3C6fxK95IHjItoVJFDEPDI/pYKj2qyRgNL8p+fbBhdJxyc08rHKCBwqm4SJ4AIqE+wct/If1s69ep3OXjxetfvTHm/Tcga6M7xvyy3edrMM1J82LLEEKWukLv9kacwmcu2TpgpWzZIxJ/46mGcuWcpc7KG7vFIPi9rT7P1gpS6JN6/jj8r/j0shYUO39XpBgjLTSXbZE8ABH3gUPxpivGGPuNcbsNcYMGGPajTHPGGM+a4yJ2brDeN5pjLk/tP2AMWanMeYnxpgTknz9c40xvws9T78xZrMx5iPGGCrkkNP2Rv2BlKSykoD+31tPj7QmHBgZ03u/91Tcdn3A0Z4h/fLPByLX//L8pfr0q9YqVEKjh186rnu3HZnwuAecYulXnJD/9Q7SZAXTBA/Z5mYe9rT3T1rT5at3SHLJUpiv41KeZh7a+4YVfpuaq8vVWjc+KI9lS3DlXfAg6aOSaiTdLenrkr4vaVTS5yRtNsYsdDc2xlRK+pWkWyTNlfQDSf8u6QFJZ0hKOHgwxlwbetwFku6Q9J+SyiX9m6QfTfsnAjLAzTy4f+gaq8t10zvPUF3ohOdA16Ded9tTGhqlAxMmuv2x3ZEJ0acubNT6xU06YU6d3nrW4sg2X/zdNl/r1t6hUW3cPT5j5PwV+V/vIHnBd3WMjlFkHrKvsXq8iHlgZGzSk9+ZdFoKm9+Y/8uW3A+NZtdVqLl2fCgcrVrhysfgod5ae7a19i+ttf9orf1ra+0GSf9XUpukT0Rt/zVJr5L0JUlrrbUfstZ+wlr7TmvtMkm/T+RFjTH1kr4taUzSRdbad1trPy7pVEmPSnqdMeZNKfkJgRQbHQvqUPf4PIfoNb0rWuv0jbecFvn0eOOeTn3vkV0Z3EPkg8GRMd3+2O7I9XefvzRy+aOXn6C6Su9kbeexPt366K7IfY++fDzSJnjtvHrNrqvIzA5nQHT2oSRgVFmWj39aC0t0EfNkRdPujIcl0848uMuW8jR46PUHDy01bvAwTEc+ROTdEc5aG2+i1U9C31eGbzDGLJf0fklPSvqUtXbCFCNrbaI91V4nabakH1lrn4ran38KXf2rBJ8LyKiDXYMaC528zamvUEXpxE9LL17Vqr+7YlXk+h+3H52wDTJneDSoO57Zl1M1KL/684HIJ7htDZW6+sS5kfuaa8r1N5dGDr/6+r0vRtZJ+6ZKF8iSpbDo4KGmvKQg6jkKga/j0iQn9O506SWzppd5iO62lI8n2r7MQ22FKstKIpm1kTGr7sGpJ3WjOORd8DCJV4e+b3Zue7O8n/F7kuqNMW8zxnzCGHOjMWZFks9/Sej7XTHue0BSv6RzjTFTfqRmjHk61pek1UnuE5CQvb5OS/H/OP7F6Qsilzfu6WDpUhZ94ufP6qM/3qTXfPNhPfLysakfkGbWWn334fFC6Xeeu0SlUYWl7zhniZaGeuT3DI7q30KtW93hcBcWQItWV3TwwJKl3OHWPUyWedg9g+nSYY3VZaoJnWj3DY9FOovlk+hlS5L3oUAYRdMIy9vgwRjzMWPM54wx/2aMeVDSF+QFDl92NtsQ+t4g6WVJt8lb3vQ/kl4wxvxnEoXO4Y9kJzQyt9aOStopqVTSsqR/GCDN9rW7nZbityGc21AZKZ4eGg1q877c+dS7mGw/1K3/3bhPkjcf4cM/fEaHuuIlXTPj4ZeOa/uhHklSdXmJ3nTmognblJcG9MlXrolc//7ju3XvtsPaGfpkt7IsoPVLmjKzwxkyIfNA8JAz3I5L8TogDY6M6UCXd3wMGH8GIRneMqnxYGV/Z/4tXXKDh1m1XvDgX7pE3QM8eRs8SPqYpM9K+oik8+VlBK6w1rprLVpD3z8v6SlJJ0mqk3SpvGDiA5I+neDrNYS+xzubCt/eONUTWWvXx/qStD3BfQGSsi/BzIMknbW0OXL5iZ3tadsnxPdvUcPWjvUO60M/2KiRsQkrLzPmpod2RC6/fv2CuJ2GLlvTqvNWeI3vglb68A+fidx39rKWmEvm8tmEzEMlwUOu8GceYp/Me0uMvMttjVUz+v2cn+eD4qJrHiR/5uE4U6YRkrfBg7V2rrXWyOug9Fp5n/g/Y4w53dksfBQ4KOl6a+0Wa22vtfY+eTUMQUl/a4wp18yFF7nm30JHFLx4nZZiOWvpeMfjx3ZMHASG9Nqyv0u/f+5w5Hq4iP2p3R36yp3Z+XzhpSO9+uPz3ucyxkjvOm9p3G2NMfqna8Zbt/YNjy99u6DAlixJLFvKZf6ah9gn87uOOZOlZ01vyVJYvg+Ki71saXwlNsuWEJa3wUOYtfawtfYOSVdIapF0q3N3uDfgXdbagajHbZK31KhO0hpNLZxZaIhzf33UdkDOcP9wun9QYznTyTw8vbsjq592F6N/dbIO15w0Tx+7cryI/TsP7dTvns38FPCbnVqHS1fP0ZIpTrLWzKuPuazpggIrlpYmTpmuKSd4yBXuyfyBzoFI0wiXf8bD9IqlY71ePgYPx2JkHlqcdq3MekBY3gcPYdba3ZK2SlpnjAn/hXo+9L0zzsPCwUUiixzDzzVhLoQxplTSUnnzJnZE3w9kWzKZh4XN1ZGe5f3DY9qyn3g4Uzbu6dB9270Ba8ZIf3PZSr3/guW6bE1rZJu//9lm7Tjam7F96ugbjtRfSNJfnr8kocf97eUnRGaHSNK8hkotn107ySPyEzUPuaumojSyZn9kzPraVYft8s14mGnmIb+nTEd3W5IomEZsBRM8hLSFvofz5PeGvp8YvWGoK1K4r+CuBJ77vtD3q2Lcd4GkakmPWGupKEJOGR4dn/EQMNK8hqljZeoessOtdXjNKW06YU6dAgGjr73+1EjxZ+/QqP7q9o3qH85M28QfPLFHgyNe9mnNvHqds6xlikd4ZtVW6K8vHW9qd9maOQXZwrQ+Knioo+YhpyxonrzjUio6LUVeK48zD4MjY+oJtWItDZhIUEzwgFjyKngwxqw2xsyNcXvAGPNFeQXSj1hrwxmFO+VlAq40xlwe9bBPy1uC9Cdr7SHnuRpCrzMvavufSTom6U3GmDOc7Ssl/Z/Q1f+awY8HpMWBzoFIQeDc+kqVl079395duvQ4wUNGPLGzPdLSNGDkm5nQUF2m/3rr+si/3fOHe/SpO7akvZf88GjQN+zt3ecvTSoAePf5y/SxK07Q285epI9ftWrqB+ShiZmHwioIz3cLpxgUtysF06XD3CnT+zsG8mrWQ3SnpUCoaGkWy5YQQ759RHKVpK8aYx6Q1y3puKQ5ki6UVzB9SNJ7wxtba4eNMe+U9AdJdxpj7pC0W14L1wskHZV0Y9RrXC/pZnmzIW5wnqvbGPNeeUHE/caYH0lql/QaeW1cfybpxyn+eYEZ8y9ZSuyP41nOp8tP7mzXWNCqJFB4nxrnCmutvvaH5yPXX3v6Ai2LWuJz4vwGfeHadfqH/31WknTHM/u1fnGT3nb24pTvz/BoUC8f7dVvNx/U4W7vpGJWbYVefUr0ZyqTKwkYfeiSlVNvmMdYtpTbJhsUNzwa1P7QbcZMXQ82leaaclWVlWhgZEw9Q6PqHhhVQ3XsrmS5JlanJSm6YJqFFfDk21HuHknfknSepFPktUXtkzd74TZJ37DW+j4mtdY+FMoUfFbSxaHHHA49zxestfuUIGvtL4wxF0r6lKS/kFQp6SVJfxt67fz5mAFFw9emtTmR8h7vE7jWugod6RlSz9Coth3s1onz4/UKwEw98vLxSIanNGB8WQfXGzcs0lO7OvTTp73D1ud/vVUnzW/QKQsbp/3aXf0j2nqwW1sPdmvbwW5tPdCtF4/0aGTMfzh7xzmLC67Naio0Vvub9dURPOQUt13rvqjMw96OfoVrqNsaqlRZNrPfb2/WQ5VePNIbef6G6vw4bh6L0WlJiprzQKtWhOTVUc5au0XSB6fxuK2S3pjgtrdIumWS+x+W9Mpk9wHIlkSnS7uMMTpzabN+s9nr7PP4znaChzSJzjq8/oyFk34C+oXrTtSWA96J/vBYUB/4/kbd+ZFXqL4yuU84g0Grv/7hM/ptAt2b6itL9dazJnZPApmHXOcOiotu17o7hZ2WwtzgYV/HQN4cN32Zh1o38+BftmStLcjaJSQnr2oeACQvmU5LLnfp0uPMe0ib+184qo17OiVJ5SUBfeiSFZNuX1lWov9+2+mRwtz9nQP65TP7k37dx3YcnzRwWNBUpSvWztHfXLpSd3zwPLU4JxQYVx9VIE3wkFsWNccfFOfOeJhpsXRYvk6ZjjXjQfKmyVeEaq2GRoPqd+a2oHhxlAMKnFskuDDBzIMkne0UTT+5q13BoI0U0SE1rLW+DktvOnOhr+gynsUtNfroZSfo87/ZKkm6e9sRvf2cJUm99r2hlrCSFyics6xFa9vqtXZevVbPq487QRp+pSUB1VaUqnfI61TDkLjc0tZYpYDxpp0f7hnU0OhYZPnd7hQWS4ctmKJAO1f5C6bHsw3GGLXUlOtAl9exr71vmAAZZB6AQjfdzMOK1tpIyrqjfySSikfq3L31sDbv8+ZoVJQG9MGLJ886uK48cbzx3KMvH1PP4EhSr32fEzx88fqT9NXXn6J3nbdUZy1rIXBIkvt+ETzklrKSQKQ9tbWKFEhL0q4UtmkNczMP+Ro8zK6r9N3XTMclRCF4AArY4MiYjoT+KJQEjOY1VE7xiHHGGJ25xG3ZytKlVAoGrW+a9NvOXqw59Yn/+8xvrNLaed5g+5ExqwdeOJbwY3cc7dXOY96nrtXlJb65HkjemtC/Q0VpwLdMBrnBlw3wBQ/jmYelU0xNT5RbO+E+f66LNV06zO24dLyXjksgeAAKmrvmdl5DpUpLkvsvf9Yy5j2ky51bDmn7oR5JUlVZif7qouVJP8fla+dELt+z7XDCj3OzDuevmDXjLjPF7rOvXqv3X7hc33rHGWqqKZ/6AciohTEGxY2MBX1Z2VQFfUucIGRv+4DGgvnRhDFeq1bJ33GJzAMkggegoE13yVLYWUvdoun2vBp6lMuCQat/v2c86/DOc5do1jQKkt3g4b7tRzQ6FkzocfduGw8eLlndmvTrwm9hc7X+8erVuvCE2dneFcTg1nqFOy7t7xg/sZ9bX6mq8tQE0LUVpZH/y8NjQR3Ig6Jpa23cgmmJKdOYiOABKGD7ptGm1bVqbl2km8yx3iHtOJY/afhc9ud9nZEakpryEr3vgmXTep51bfWaG1rq1DUwoqd2d0z5mO7BET25azyLdDHBAwqc2651X6jj0q40tGkNc4uvdx/P/bqH3qFRDY54HzxUlgVUExVIETwgGsEDUMDc1oTJdFoKKwl48x7CnmDpUkrcteVQ5PIrT5o37aUuxhhdtnb85P+erVMvXXrwhWMaDX3ietL8hqTqLIB85J8y7Z3Muyf1S1JULB3mFl/nQ91DdNYheo6Db9kSg+IgggegoPkzD8kvW5Kily5RND1T1lpf8HD1SXMn2Xpql60ZX7p097bDUy4tu3f7eIDBkiUUg4UxOiDtdLKoS1JULB22dJabeciz4CHG8kl/5oGCaRA8AAVtpjUPknyZh8d3UvcwU1sPdmtP6ASmtqJU562YNaPnO2d5S2SZwe7j/Xppkpa6Y0Gr+58/Grl+6RqCBxS+1roKlYcGnXX0j6h3aDQtMx7C3MzDzmO5v2zpmJNNiK53kKSWWpYtwY/gAShgbuZh4TS7iaxrq4/0rj/YNegLSJC83ztZh0tWt0YGVk1XRWmJLlw1Xqh79yRdl/68tzPyx392XYVObGuY0WsD+SAQMFrQ6B/etjsNMx7C3GVQ+ZF5GIxcjhU8+Fq1EjxABA9AwRoYHot8olQaMNNe215aEtD6xU2R64+xdGlG7nSXLJ04syVLYe7SpcnqHu5zlixdvGo2E8NRNBY0+5cS7e1wg4cUZx7cZUvt/QrmeLtWX5vW2ol/JyiYRjSCB6BAuVmHtsYqlczgRDF66RKm56UjvZEuS5VlAV/GYCYuXtWq8D/vM3s7fWuYXf4WrXNibgMUooXOss3HdrRrZMw7oZ9dV6GaFE8Fr68sixQZD48GdbB7cIpHZJd7vJhVN7F5Q31lqcpKvANM//CYBkfGMrZvyE0ED0CBcpcXua0Kp+PsZXRcSoXfPzeedbjwhNmqLk/NSUtTTbnOCE0Dt1b6ozMELuxA50BkKF15SUDnr5xZrQWQT9xlmw+9ND6NfWmKlyyFudmM3Tne4nqqgmljjC/7wNIlEDwABcrXaalxZmn5k+Y3qrLMO1zsae/Xwa7crnuw1qojB//AuV2WrkrRkqWwK9b6uy5Fc6dKn7WsOVLHAhQDt+OS21Qg1UuWwtwOTrtyfNbDVAXTkr/uoZ12rUWP4AEoUHtT0GkprLw0oNMXjdc9PL4jd7MPY0GrN33rMZ32hbv1/+5/Kdu7E7G3vV/P7u+SJJWVmJQvG7rUqXt48MWjGhj2Ly1wg4dLadGKIhMv+5rqNq2R582jounJpkuH+WY9JNiudWh0LOfrPTA9BA9AgUpFpyWXb97Dztwtmn5mT0ekLuPWR3ZneW/GuUuWzlsxSw1VZSl9/qWzarSitVaSNDgS1MPO0oyB4THfdeodUGziDclMV+bBfd6dObxsKRi0OuYUTM+KsWxJSr5oevO+Tp35xXt1/lfu06Gu3K75QPIIHoAClYoZD66zluVH0bS7b4e6Byd8Ap8tviVL61K7ZCnM13XJWbr0yMvHNDQalCStaK3VojSdMAG5qrG6LOZSvVRPl471vLtzeNlS58BIZOJ8fWWpKstit45ONni4/bHd6hoY0YGuQX3/8dz5EAepQfAAFKjwJFVJWhDnU7dknLqwUeUl3iFjx9E+HenJzU+Togu697Rn/w/3ke5BPb2nQ5IUMNLla9Pzyf/la8eXI92z7UhkycC9LFlCkTPGxPwQJW01D27w0N6Xs8t3/J2WYmcdJP+ypWMJ1Dw8H2rOIEl/fH5iA4dE7Djaq+8/vlvHe5lqnWsIHoAC1Ds0qo7+EUleZ53WSf4oJKqyrESnLmyMXM/FrkujY0E9tcu/X7tyYL3x77ceVngw95lLm9USZ2nATJ26sEmzQtNgj/UOadO+Tllrfd2XLiF4QJGKXr45q7ZcdZWpXT4Y1lBdpqZq77kHR4I6nKMftkzVaSms2TdlevKT+WDQ6oXD40XpW/Z360iS7Wr7hkb1hv95VJ+6Y4vee+tTsjY3g69iRfAAFKD9zpKl+U1VKRsG5i5dcmcG5IqtB7vVF7VMKReKFe/acjBy+eoT56XtdUoCxhcc3LPtsLYd7NHB0Jrj+spS38A/oJhE1z2kerJ0NPf5dx3LfgY0FrfeIV6xtOTPPEy1bGlfx4AGomZB3P/C0aT264EXjkYyHBv3dOqRl3O3zq4YETwABci/ZGnm9Q5hF54wPtTsF3/er42hpTi5IlY2ZGeW/2h39A3rMac71ZVpqncIc+se7t562DdV+qJVrSot4bCP4hTdcSldS5bCls7K/Y5LiXRakvytWqea8/D84Z4Jt92f5NKlP2z1t5v+1gM7kno80ou/IkAB8s14SEG9Q9j6xU2RNfPWSp/+xRaNjgVT9vwz9ViMFrLZ/qN997bDGgutdz5tUaPmNlSm9fXOXzlLFaXeof2Fw7364RN7I/dduoYlSyhe0ZmHdBVLh/k6LuVq8JBg5iGZgukXYgQPD75wTCMJ/q0YGQv6WktL0p9eOOqro0B2ETwABSiVMx5cxhh97jXrIgPjnjvQrdsey41OGsGg1ZO7YgUP2c08/N7psnR1igfDxVJdXqrzV4xPj97f6f0uBIw/cwQUm+iah3TNeIg8v1s0naPLlnwF05PUPPiWLU1RMB0reOgZGtXTuxPLVD+5q11dAyMTbv/2g2QfcgXBA1CA/JmH1AUPkvcH+K8vWRm5/rU/vJB0MVw6vHCkJ/IHp7mmXOEyjwNdAxocyU671p7BET344vh8havWpa/ewXVZjG5O6xc3qbG6PMbWQHGIPhYuSfOyJf+U6RzNPCS4bKmhqkwloYNqz9CohkbjH1PdDMGaefWRy4l2XbrbWbLkNun45Z/358TfGhA8AAXJnfGQigFx0d7ziqVaNtv7w9g7NKr/89ttKX+NZLlTr89Z1qK2Ru9EwVp/MJVJf3z+qIZDqfq18+ozNl8h1vIkBsOh2NVUlEaWElWWBXw1CengBie7j/fnZMcgX8H0JJmHQMBEukdJUkffxMyA5C052nF0PFB63wXLIpfv3z510bS1Vn94bjx4+LsrTog0eRgZs7rlkV1TPgfSj+ABKEDpKpgOqygt0f+59sTI9V9tOuCbYJwNbrH0mUubfUsGstXpxO2ydFUGliyFtdZV+j6xk6h3ACTpS9efpItXzdaXX3ty2tq0hjVWl0cmyQ+MjOlIT+7NK3AzD1O19HbrHo7Hade6+3hf5AOTtoZKXbFuTmQ+0POHeyLLKOPZdnB8m7qKUp21tEXvfcV4AHL7Y7vVNzQ66XMg/QgegALTNTCi7kHv4FpRGpj006SZOHfFLF17alvk+qd/uWXSVHY6WWt9k6XPXNrsK1bMxpKBgeEx/dH5pC0T9Q4udxDdgqYqrWytzejrA7no3BWzdPO7ztR1p83PyOu52Yddx3Jr6dLIWFDt/V79gjH+4CCWRIqmnz80Pt/hhLl1qi4v9bX4nqrrkrtk6aLVrSovDejytXMi72P34Kh+8tTeeA9HhhA8AAVmf1SxtDGpmfEQy6deuUZ1FaWSvKnT33lwZ9peazI7jvVF0u8NVWVaNafOn3nIQvDwwItHI73Ol8+u0co5dRl9/WtPbVN1eYkk6c1nLkrr7wGA2Jb42rXmVtF0e99wZHhlS035lG2cW5x2rXGDB6dYelXomHfxqvGs5x+nWLp097bxBhNXhD4AKQkYvdvJPtz00M6c6vJXjAgegAKzN01tWmNpra/U311xQuT6N+590bdkKlPcJUsbljQrEDBZ/6N9l9NlKZNLlsIWNFXr9x+5QD9879l6/4XLM/76APyD4nKtXWuinZbCWpwp08fjdFx60QkeTggHD87gyodfOhY3Q72/c0Bb9ndLkspKjC5aNd4d7nWnL4jUXOzrGNBdzx2K+RzIDIIHoMD4i6VTX+8Q7W1nL9a6Nq+jxtBoUJ/91XMZLwx0g4ezlnop8iVZXLY0PBrUPdvG0+/pnCo9mYXN1TpneUukSwqAzPIXTWfuOLRlf5c27+ucdJtEZzyEJbRsKUbwsHRWTeR9GBgZiznMU5LucZYsnb2sxVeTUlVeorefsyRy/dsP7MjJAvRiQfAAFJh0DYiLp7QkoP9z3YkKr4q5b/sR37rVdLPW6vEdxyPXzwwFDwubqyP7tL9jQMOjmUtzP/LyMfWE6k4WNFVFgisAxcXXrjVDjRvuf/6IXvPNh3Ttfz6sO589GHc7X5vWRDIPvoLpicHD4MhYpK7DGGmFU2d1UQJLl9y/G1fEaDf9jnMWqzw0AHPTvq64QQjSj+ABKDB729MzIG4ypy1q0pvPXBS5/s+/3qr+4cx0xNjXMaADXV7v75ryksiJemVZiebVe9Ocgxlu19rZPxJZBnDVurnUGwBFyjco7nhfRj4t/4/7XlLQem2q/+UPzysYjP2aic54CGv21TxM7Lb08tFehV9qcXO1qkI1V5J/6dL9L0wsmu4aGNFjzodAsWbVzKqt0F+cviBynaFx2UPwABQY9yR5YQYyD2F/f+WqSFp7f+eAvnHvSxl5XffTp/VLmn1Ff4tbslP3cN1p8/X4Jy/VT99/jt529uKMvS6A3NJUXaa6Sq+pRN/wmG+pUDo8d6DLN8n55aN9um977A5HyQcPk9c8vBBjyVLYWUubVVnmHZt3HO2bsITr/uePaDQUeZy8oEHzGmJ/8PWeVyyNXL5n2xG9dKQ35nZIL4IHoIBYa301D5nKPEheT/NPXL06cv27D+/MSD/ux3eOf1oVrncIWzIre3UPJQGjDUuafcsWABQXY0xU9iG9H2Lc9ujuCbd964HYn9C7gUyyBdOxah7cNq2r5vqDh8qyEp23fFbk+v3P+5cu/cFZsnT5mvgDLZfPrtVlzv03PUT2IRsIHoAC0jUwot7QCXtVWcmUfbtT7XXrF+iEOd461+HRoB7KwOC4WMXSYZn8ow0AsfjrHtL3IUZX/4h+8ef9kevh1ZJP7GrXM3s6Jmw/o8xDjOAhVqcl10XO0qU/OvMehkbH9CcnmLh8XfzgQZJudKZW/+/G/b6fA5lB8AAUkOhOS5lea2+M8Q0nu2/b5AOBZupw96B2hYKCitKATlrQ4Lvf1yYxxwY0ASgOmer89tOn92pwxGsMsWZeva53BuHFyj4cS7LbUlN1eSQg6RoY0UjUrIVYnZZcF50w3nr10ZePa2DYa9n62I72yIdeC5urIvMh4tmwpEmnLGyU5H1IddtjE7MtSC+CB6CAuDMWMtFpKZZLVjvBw/NH4hbrpYI7Vfq0RY2qKC3x3e8uW8pkm0QACFvsG1iZngxoMGh1u3MS/Y5zFvs+ob/ruUMTsh7JdlsqCRg1Vo23T+3oH88+9A6NRj68Kg0YLY2xXHNhc3Vk0v3QaDBSIP2H59zBcFM3mDDG6EZnaNxtj+6KBCLIDIIHoIBkq97BderCxkh6+2jPkLYc6Erbaz3hq3domXD/oubx4GFfx8CET8oAIN2WZuBDjAdfOhYJTOoqS3XtqW1aPbdeF4Y+7bdW+o5THzA4MhZpJ11WYtTgBAWTiTfrwV2ytGx2TaSlarSLo5YuBYPWNxPn8hhdlmK5ct2cyByjjv4RPfJy+pfIYhzBA1BAstVpyVUS8E8GvTeNS5cmq3eQpOryUs2p9z5RGw1aHegcmLANAKSTL/NwrD8t7Vpve3RX5PLr1i9QdbnX4el9Tvbhp0/t0/HQUqXo6dKBBAdJtrjtWp2OS5N1WnK5fxvu235Em/d36XC3ty+N1WU6Y3FTQvtRWhLQVevmRq4/+vLxSbZGqhE8AAVkbw5kHiTpUnfpUpw2gTPV3jesFw573T1KA0anLYr9RycTSwYAIJ6WmnLVVngn871DozGLjWdib3u/7nWOs2932kOfs7wlMvtmaDSoW0PdmJLttBQWr2ja12lpkuDhjMXNkfdiX8eA/vv+lyP3XbK61ddqeyrnOt2bHiF4yCiCB6BA7G3v16a9nZHr2ap5kKRXnDBLpaFPsp7d36XD3YMpfw0363DyggbfQCKXW6xI3QOATDPGpLX+6vuP71E4mfGKlbO0bPb4ZGdjjK/24dZQfcCxJDsthTXHadfqyzzMjR88lJcGdP6K8ZP+u3z1DoktWQrbsLRZJaG/M1sPdqsjxUEZ4iN4AArAS0d69Pr/fjTySVBjdZmWt2ZvvkB9ZZnOdJYR/TEN2QffkqVlE+sdwvxtEsk8AMi86KVLqTI4MqYfP7kncv3tMYZSXnPSPM1vHK8P+NnTe32Zh0SKpcNa4mQe3OBhqm5JF6+ePeG2itKALjhh4u2Tqa0o1SlOhz13QjXSi+AByHNb9nfpDf/zmA6FPt0vLw3oa68/JbLmNVsucQrj7k1D8OAOhzszRr1DmH/WA5kHAJmXrnatv918UB39I5Kk+Y1VujTGgLXSkoDeff74ZObvPLRTh7vGs8FJZR58BdNeANLRN6wjoUxGRWlAC5snz3pftKp1wm3nr5g1rb9ZLF3KDoIHII89uatdb/7WY5H0cXV5iW65YUPMPyCZ5u7DQy8e0+BI6lrpdQ+OaOvBbklSwGjSIrvFzh/tnQQPALIgXbVXtzrtWd9y1qLIMp5ob9ywMNJRaffxfv3s6X2R+6YfPHh/d9ysw8o5tXH3IWxOfaXWzqv33ZZol6Vo5y4fzzrTcSlzCB6APPWnF47q7Tc9rp7QcJ2GqjJ9/z1n6VxnPWk2LZ1Vo2WhJUMDI2MpTSk/vasjssZ3XVuD6irjtxl0/2jvbe/XWBrnTgBALO7cg1RlQDfv64zUuZWXBPSmDQvjbltTUaq3nb0ocv2Ak3lIpmDa7bZ0vHdi8DBZpyWXu3TJGE37A6/TFzdF2sK+fLRPR9JQX4eJCB6APHTnswf1nu89GZkmOqu2Qj9+39lxOw5li7t0KZVdlx5LcMmS5K2LDf9xHBmjXSuAzPNlQI/1paRd622Pjmcdrjl5nlqmCALeee4SlcfoZpRM5qElRsH080nUO4Rd5gQLGxY3J7UPrsqyEp2+qDFy/VHqHjKC4AHIMz99aq8++IONGhnz/vjMb6zSz95/jlbPrZ/ikZl3yRqn7mHbkZT1N3eLpacKHqTojksUTQPIrNm1FaoJdYTrGRyN1ClMV0ffsH616UDk+tvPmVgoHa21rlKvPX3+xH1LJniItWzJadM6Wacl12mLmvSpV67RVevm6ovXn5jw68fiq3t4ieAhEwgegDzyvUd26eM/26zwyptls2v00/ef4+solEs2LGlWXain9/7OgchchpnoHx7Vs/vGp1afuWTq4MG/3pi6BwCZZYxJ6XHop0/v1dCol3k+cX69TlvYmNDj3vOKZRNuSyZ4aHKDh/5hjQWtXjiSfOZBkt57wTL999vXa2USj4nFV/ewg7qHTCB4APLErmN9+udfPxe5vnZevX7yvnPU1pi9YXBTKSsJ6AJ32vT2wzN+zo27OzUaip5Wzanz/TGLZ2kae6wDQCJSNeshGLS6/bHx9qzvOHuJjElsQvSK1lpd5mSEq8pKIhmRRJSVBFRf6X0gZK1X79AZyqLUVZRqXkNlws+VKicvaFR16GfY2z6gve1kl9ON4AHIEw+9dCyScVg7r14/vPHspArdsuVSt+5h28zrHp7YNb5kacPSxGo8mDININvc49DOacx6sNZqy/4ufeLnz2pP6AS5oapMrz6lLannufGC5ZHLC5urEg48wtzaiked9qgr59Qm/VypUF4a0AYnA/0oLVvTjuAByBMbd3dELr/29PmRtnu57qJVrQr/Pdm4p8M3lXQ6nt7t1jvEHw7nSnbWw8hYUM8f6plyOwBI1HSn3R/rHdJ3Htyhq7/+oF71Hw/px0/tjdz3hjMWqCqJzIEkbVjSpI9ctlLr2ur1j1evTuqxkr9dq1ugvCrBeod0oGVrZmV3ihSAhD29Zzx4WD/JXINc01xTrtMXNenp3R0KWulPLxzR9actmNZzjYwF9cyezsj1yeY7uBZFFUwHg1aBSXqR37vtsN5/+0ZtWNKk975ima5YN3da+wsAYUuSyICOjAX1x+1H9NOn9+mP249Elmq6ls+u0XsvmFjDMBVjjD5y2Qn6yGUnJP1YyR88PO4ED4m2aU2H6GFx1tqsZEGKBcEDkAeO9gxFugSVlwa0rq0hy3uUnEtWt+rpUObk3m3TDx62HexW/7A3bG5+Y1XC9R4NVWVqrilXe9+whkaDOtQ9OOljv/+4t574yV0dOntZF8EDgBlzG1vsOhY782Ct1fcf36N/u/sFHY+Rpa0sC+jqE+fp9esX6OxlLZN+CJIubsel7sHRyOVkiqVTbW1bveorS9U9OKojPUN6+WifVrTWZm1/Ch3BA5AHNjpZh1MWNESG4uSLS9e06qu/f16SN9xuZCyoshj9xqfy5K7x9+GMJcllXxa3VEeWTO063hc3eNh5rE8PvuilvQNGetOZi2JuBwDJaK2rUFVZiQZGxtQ1MKLO/mE1Vo+fiPcPj+oTP39Wv/zzgQmPPWNxk163foGuOXnepEMxM6E5TpOKRNu0pkNJwOisZS26e6vXlOPRHccJHtIov85AgCLl1jucnkdLlsJWzanT/NDJes/gqJ5ygoBkPOUUS5+RQItWl7/uIf6SgR8+Md7F5JLVrZH9BoCZ8Nq1ji+hdJcu7TzWp+v/8xFf4DC3vlIfuGi57vu7C/WzvzpXbzpzUdYDByl28NBSU571Bh5u3cOj1D2kFcEDkAeedoKH9Tk2RToRxpioadPJt2y11uop531ItN4hbEkCPdYHR8b0U6cY8a1nTT14CQAS5TsOhZYu/f65Q3rNfzzkm9T85jMX6v6PX6S/v2q1ls3OrU/Q3SnTYdmsdwhz6x4effm4gjHqRJAaBA9AjhsaHdPm/eND0fIx8yBFTZvennzL1j3t/TraMyRJqqssTfqPla/Hepw2iXdtORSZ/Dq/sUoXnDA75nYAMB2LnePQy0d79ZW7tut9tz2tniGvdqC8NKD/7y9O1pdee7Iqy5LropQpzTUTMwwnzMl+gHPCnNpIPUZH/4i20zEvbQgegBy3ZX+3hkOTRJe0VGc9NTxd5yxrUVXoj+GOo33aGadgMB633mH94iaVJFkomMh01+8/vjty+S1nLUr6NQBgMkud49B//+ll/df9L0euL2iq0s//6ly9YcPCbOxawlpiLFvKZr1DmDFG59CyNSNSFjwYY7K/EA8oQPle7xBWWVai81aMp5Xv3Zbc0iW33mFDkvUOUnSP9X5Z609pbz/UHQlQSgNGrz9jeh2hACAe90OMkbHxY9CFJ8zWb/76fJ04P/c76cWqechmpyVX9NIlpEcqMw/7jTFfMcasSOFzAkXPV++Qx8GD5HVdCrsvyaVLT83wfWisLo8M1hsYGdOR0BKosB88Pl4ofeWJc9VaV5n0awDAZNzlk5JkjPQ3l67UzTds8HVeymWxgoeVORI8uJmHx3e2a3QsmMW9KVypDB4Ckj4u6XljzN3GmL8wxtAKFpgBa23eDoeL5eJV48HDEzvb1RWqL5hKe9+wXjrSK0kqKzE6ZUHjtF7fzT64fdb7hkb18437I9ffehbtWQGk3py6ykh9QENVmb57wwZ99PITsjKvYboqy0pU40y1ntdQGflgJtuWtFRrXoP3wU/v0KiedeoFkTqpDB7aJL1N0oOSLpX0E0l7jTFfNMYsTeHrAEVjX8fAeJFwRalWtubGpzvTNbehUicv8NLyo0GrO7ccTOhxbvblxPkNqiqfXiHh4jjtWn+96YB6QwWLy2bV6JxlLRMeCwAzFQgY3f7us/S115+iu//2At8HKvmk2em4lAudlsIm1j2wdCkdUhY8WGuHrbU/sNZeJGm1pH+XN4TuE5JeNMb8zhhzrTGGIm0gQe5J86mLGguigPfaU+dHLv/8mf2TbDlupvUOYb4Jr07R9PedJUtvOWuRjMn/9xlAbmqtr9RfrF+Q10sjW5yOS6tyoFjaRd1D+qXlRN5a+4K19u8kzdd4NuIqST+XtMcY8zljTFs6XhsoJIVU7xD26lPmKRwDPbGzXfs64g9sC5vJfAdXdNG0JG3a2xlJbVeUBvS69RRKA8Bk3K5/K3NskrObeXhqd7uGRseyuDeFKa1ZAGvtsKTfSrpD0gFJRt7yps9I2mmM+XdjTH72nQQyoBCDh9a6Sp2/cnx+gjtRNZbBkTFt3tcZuT6T9yFWu1a3PeurTm7Lm6JFAMiW161foLISo7aGSl154txs747P/MaqyAdFgyNB/XlPZ3Z3qAClLXgwxpxtjLlZXtDwb5JqJH1D0qmS/lLS85L+Wt7yJgBReodGtf1QtySvI8epCxuzu0Mp9NrTxpcu3fHM/gltU12b93VFWhoum12jlhnMuYjOPHQNjOhXm8aDl7eeTaE0AEzlqhPn6olPXqYH/v5i1VfmRrG06xxn6RJ1D6mX0uDBGFNnjPmAMWaTpIclvVPSNkk3Smqz1n7EWrvZWnuLpNMk3SfpdancB6BQbNrbqWDonHrVnDrV5eABerquWDdH1aGi55eO9Oq5A91xt33SrXdYPP16B8lrMVhX4TWB6x0a1bcf2KHBEa+V35p59TqtgAI0AEinpppylZbkZhnruc7SJeoeUi+VQ+K+Iy/L8B+SVkq6TdLZ1tozrLU3WWsH3O2ttWOS7pc0s7MBoEAV4pKlsOryUl25bjzVfcckhdPu+3DGkpm9D8YYLXb6rH/noR2Ry287m0JpACgEZzsd857Z26H+4dEs7k3hSWXI+JeSDkn6e0kLrLU3WGufmOIx90v6fAr3ASgYhRw8SNL1ztKlX206EHOYTzBofZ2WzphBp6Uwt+4hnHWoKS/xdYECAOSv2XUVkXkaI2NWn7pji4ZHGRiXKqkMHq621q601n7NWts+9eaStfZha+0/p3AfgIIQDFptLKDhcLGcu7xFs+u8+oWjPUN6OEZq+cUjveoe9D4xmlVb7qtZmK6lTvAQdt1p81VbwUxLACgU7gdCdzyzX++65Ql1DyY2mBSTS2XwMMcYc/JkGxhjTjTGvCOFrwkUpJeO9qrHOWle1Dzzk+ZcU1oS0GtOGe/Y/IsYS5fceoczFjenZFnR4hgByFvPWjzj5wUA5I73XbBMbz5zYeT6wy8d1xv++1Ed7BqY5FFIRCqDh1skXTfFNtdKujmFrwkUJHfJ0umLmgp2Lb67dOmuLYfUN+Rfl5rKeocwd1CcJJ22qFFr2+pT8twAgNxQWhLQ/73+JH3sihMit20/1KPr//ORSCdDTE+my+RLJMXvyQhAUnpOmnPRurb6yIChgZEx/WHrId/9T6a43kGamHl4G1kHAChIxhh96JKV+tc3nKLS0HTSQ92Dev1/PaqHXzqW5b3LX5kOHk6Q1DHlVkCR21jgxdJhxhhd55v5MD5z4WDXgPZ1eOnlyrKA1qUoOzC7tkILm6skeVNSrzl5XkqeFwCQm157+gLd8q4zI7VtPUOjuuHmJ/TzjfuyvGf5aUYVgsaY70bddJ0xZkmMTUskLZL0CnkTpwHE0d43rB3HvOnH5SUBrWtryPIepdd1p83XV3//vCTpoReP6kjPoFrrKvXUrvEA6rSFTSpLUT9xY4y+844N+tWm/brmpDZVlpWk5HkBALnr/JWz9JP3naN33fKEDncPaWTM6m9/skkHuwb1gYuWF+zy4HSYaXuRG5zLVt706FPjbGslPS7pozN8TaCguVmHE+fXF/zJ7fzGKp21tFmP72xX0Eq/+vMBvecVy3wtWjekeOnWqrl1+vjc1Sl9TgBAblvbVq87PnCe3nXzk3r+cI8k6au/f15z6yv1F+sXZHnv8sdMP8pbGvpaJslI+nfnNvdrkaR6a+251todsZ8KgCQ9XeAtWmNxC6d/8Wev69JT7tKtFNU7AACKW1tjlX7y/nN8U6h/uenAJI9AtBkFD9ba3aGvXZL+WdIvnNvcr33W2r6U7DFQ4Ap9OFwsV580T+Wl3uFoy/5uPbOnQ9sOet0wAkY6fVFjFvcOAFBIGqrK9E/XrI1c39fen8W9yT8pK5i21v6ztfaBVD0fUIxGxoLatLczcv30RcURPDRUlemyNa2R65/71XMKhvqyrZ5br7rKsiztGQCgEIUbZ0jSvo4BBYM0A03UtGsejDGLQhf3W2vHnOtTstbume7rAoVs64FuDY0GJXkHttb6yizvUeZcd+p8/e5Zr1Xrpn1dkdtTXe8AAEBdZZmaqsvU0T+i4bGgDvcMal5D1dQPxIwKpnfJK4JeI+kF5/pU7AxfFyhYviVLRZJ1CLtoVasaq8vU2T/iu516BwBAOixqrlZHv/dh1d72AYKHBM3kJP5WeYFAV9R1ANNUjPUOYeWlAb3q5Hm6/TF/YpLMAwAgHRY0V0cy3Xvb+3XmUj6sSsS0gwdr7Q2TXQeQHGutnto93p709CILHiSv65IbPMxvrOKTIABAWixqro5c3kPRdMIyPWEaQBwHugZ1uHtIklRTXqJVc+qyvEeZd/qiJt/BnKwDACBdFjaN/73Z20HwkCiCByBHbNk/XiR8ysJGlaZoonI+McbojRsWRq5ftKp1kq0BAJg+t+PSXjIPCUtp4bIxplnSX0o6U1KTpFijca219tJUvi5QCPqGRiOX5xRRl6VoN16wTAFjVF4a0GtOacv27gAACpSb6d7bPpDFPckvKQsejDGrJd0vaba8adPxUFQNxDA4EoxcrigtvqxDWFlJQH910fJs7wYAoMC1NVYpYKSglQ73DGpwZEyVZbE+94YrlWco/yKpVdJXJC2TVGatDcT44l8FiGFodCxymYMXAADpVVYSiDTlsFba30n2IRGpDB5eIem31tpPWmt3WWvHpnwEgAgyDwAAZBZ1D8lL5RmKkbQ1hc8X+0WM+Yox5l5jzF5jzIAxpt0Y84wx5rPGmJaobZcYY+wkXz9K8rUrjDEfNMY8YYw5ZozpNcZsM8Z8wxizOLU/KYqNm3moIPMAAEDa+TouETwkJJUF009LWpXC54vno5I2Srpb0hFJNZLOlvQ5STcaY8621u6NeswmSb+I8VxbEn1RY0yppHslnSdpu6QfShqStEHSX0t6hzHmXGtt2gMoFCYyDwAAZJavaLqDZUuJSGXw8HlJvzfGXGStvT+Fzxut3lo7GH2jMeaLkj4p6ROSPhB195+ttZ+b4eteLy9wuFfSFdbayJmeMeafJX1G0sfkdZsCkubLPBA8AACQdgubyTwkK5XBw0JJv5T0B2PMD+VlIjpjbWitvXW6LxIrcAj5ibzgYeV0n3sKy0Lff+sGDiG/lBc8zE7Ta6MIDI2O/1pRMA0AQPotZMp00lIZPNwirw2rkfT20Fd0W1YTum3awcMkXh36vjnGfW3GmPdJapF0XNKj1tpY203mudD3q40xX48KIF4V+n5Pks8JRAyOkHkAACCTKJhOXiqDh3el8LmmZIz5mKRaSQ2SzpB0vrzA4csxNr889OU+/n5J77TW7knwJX8r6eeSXivpWWPMPZKGJa0PvfZ/SPpmgvv+dJy7Vie4LyhAZB4AAMis2bUVqiwLaHAkqO7BUXX1j6ihuizbu5XTUhY8WGu/l6rnStDHJM1xrt8l6QZr7VHntn5JX5BXLL0jdNvJ8oqrL5Z0rzHmVGtt31QvZq21xpjXyVue9GlJa52775X0A9rTYiaGyDwAAJBRxhgtbKrWi0d6JUl7O/rVUN2Q0GM37e3Udx7aqSvWztGrT2lL527mlLw9Q7HWzrXWGklz5WUDlkl6xhhzurPNEWvtZ6y1G621naGvByRdIelxSSskvSeR1zPGVEr6sbyg5YOS5snLerxS0mJJDxhjrk1w39fH+pLXxQlFiswDAACZN92i6X/438369aYD+rufblJn/3A6di0n5W3wEGatPWytvUNeQNCiBOoprLWjkr4TunpBgi/1j5JeL+lT1tr/sdYestZ2W2vvlPQ6SWWSvp70DwCEUPMAAEDmLZpG0XRX/4i2H+qRJA2PBrXz2JSLWArGtJctGWN2yCt+vsxauzN0PRHWWrt8uq87yZPuNsZslXSqMWaWtfbYFA8JL2+qSfAlwkXRf4zx2puMMe2SFhtjWqy1xxN8TiDCzTwwJA4AgMxY0OQUTXckFjw8u7/Ld/1A56BOW5TS3cpZM6l5CMjfTSn6ejxmBq85lfCCs0RqD84OfU806KkIfZ/QjtUYUyGpPnS1ePJWSKmhEXfZEpkHAAAywZ95SGxQXHTwcLCreAbMTTt4sNYumex6OhhjVkvqtNYeiro9IK8wulXSI9bajtDtZ0l6xlo7HLX9JfImVUvS7VH3NcirZ+iy1h507npQ0omSPmmMedhaO+Tc9zl57+WT1tqemf2UKFaDviFxZB4AAMgEt+ZhX4LLlp7d3+m7vr+T4CFXXSXpq8aYByS9LG9mwxxJF8ormD4k6b3O9l+RtC7UlnVf6LaTJV0Suvxpa+0jUa9xvaSbJX1P0g3O7V+UN0viUknbjTF3SRqQN3X6zNDlv5nxT4iiReYBAIDM8wUPHQMKBq0CgckXykxctkTwkKvukfQteSfsp0hqlNQn6QVJt0n6hrW23dn+NnnBwAZJV8sraj4sbxr1N621Dyb6wtba/aFOTv8g6Rp5cy0Ckg7KG5D3FWst3ZIwbWQeAADIvNqKUjXXlKu9b1jDY0Ed7hnUvIaquNt39A1rb9TypoNdg+nezZwxk4Lpd0z3sdbaaU2YttZukdcmNdHtb5J0U5KvcYu8YCDWfUfltWr9WDLPCSSCzAMAANmxsKlK7X3eKve97QOTBg9bDnRNuI3MQ2JuUWIF0i4Tesy0ggegUFlrfZmH8hKCBwAAMmVhc7U27fOCgj3t/TpzaXPcbTfvmxg8HOsd1uDIWFHMaZpJ8PCulO0FUORGxqxsKBQvDRiVEjwAAJAxyQyK27J/YvAgSYe6BrVkVqITAPLXTLotfS+VOwIUsyEn61AMn1oAAJBLFjY5wcMUsx7czEN9Zam6B0cleUuXiiF44ONNIAcMOvUOTJcGACCzFiWYeWjvG460ZS0vDej8lbMi9xVLu1bOUoAcQOYBAIDsWdjsTJmeZFCc26J1zdw6LWoezzQUS8ellLZqNcbUSPqApCslzdf4VGaXtdYuT+XrAvmOzAMAANnT1lilgJGCVjrUPRi3+NmtdzhpQYPmN1ZGrhdLx6WUBQ/GmEZJD0laK6lbUr2kLknlksLh3AFJI6l6TaBQuJmHCjIPAABkVFlJQPMaqiJLj/Z3Dmj57NoJ223e1xm5fNL8Bs2qHf+cnGVLyfsneYHDuyU1hW77N0m1ks6VtFHeVOg1KXxNoCCQeQAAILsSqXvYsr87cvmk+Y2+eRDFknlI5VnKayQ9YK292Vobmf9gPY9JeqWk1ZI+lcLXBAqCv+aB4AEAgEzz1z1MDB6O9w75iqVXzqnV/MbxxxzsGpRzClywUnmWslBediEsKKfmwVp7RNKdkt6UwtcECsLQqJt5YNkSAACZ5m/XOjGL4BZLr51Xr7KSgOqrSlVT7v3d7h8eU9dA4a/OT2Xw0C9pzLneJWlu1DaH5RVSA3AMjTg1DyxbAgAg4xa1jAcPe45PzDz4iqXnN0iSjDGa52QfiqHuIZVnKXvlZR/Ctkq6wBjjfox6vqRDKXxNoCC4mQdatQIAkHkLphgU5w6HO2lBQ+Rym7t0qbPw27WmMnj4k6QLjTEmdP3HkpZL+q0x5oPGmJ9KOlvS71L4mkBBGCTzAABAVk1VMB0r8yDJ3661q/AzD6mc8/A9eW1ZF8jLQvy3pEskXSfpitA2D8vrygTAQeYBAIDsmlVbrqqyEg2MjKl7cFRd/SNqqC6TJB3rHdKB0BC4itKAVraOt3F1Oy4Vw7KllAUP1tqNkv7KuT4q6bXGmPWSVkjaJelJa20w9jMAxYvMAwAA2WWM0YKmKr14pFeSt3SpodrLMPiKpdvqVVoy/reaZUupt1vSsKRGSWbyTYHiNDRC5gEAgGxzly7tcZYuPevUO5zsLFmSpLYimzKdsuDBGPNXxpjHjTHNzm3rJW2T9DN5tQ6PGGNqUvWaQKEYHCXzAABAti2MU/fgZh5OjAoe3FkPBA/JeaO8mXDtzm1flTdt+mZ5wcMGSe9P4WsCBcHNPFQwJA4AgKzwBQ8dcTIPCxp9j5nbMJ55ONwzpNGxwl6hn8qzlJWSNoevGGNmSbpQ0k3W2vdYa18t6UlJb0nhawIFgYJpAACyb2HTeBZhT7uXRTjSM6hD3V4tQ2VZQMtn+xfRVJSWaFatNxd5LGh1pGcoQ3ubHakMHlokHXGunxf6fodz24OSFqfwNYGCQME0AADZ5w6K2xdatuS2aF3X1uArlg6bX0R1D6k8S2mXNMu5fqGkoKRHnNuspEoB8CHzAABA9i10BsXt6xhQMGj17L7uyG0nRdU7hLntWsMtXQtVKoOHbZJebYxpMcY0yquBeNJa2+1ss0RMmAYmIPMAAED21VSUqrmmXJI0PBbU4Z5BPbu/M3J/vOChrYiKplN5lvJ1SfMk7ZM3JG6upP8XvtMYUyLpfEmbUviaQEFwMw8VZB4AAMgaf8elAV+npZMWxAseWLaUNGvtr+R1UnpO0vOSPmatvd3Z5DJ5S5Z+n6rXBAoFmQcAAHKDWzT91O52He72CqCrykq0fHZtzMf4Mw+FvWwpZROmJcla+y1J34pz3+/ltW0FEMWXeSgl8wAAQLa4g+LufHZ8tf26tnqVBGLPO2bZEoCM8hdM898SAIBscZctTTYczuVbttRF8AAgzYZ8y5bIPAAAkC1uxyXXyXHqHSRpVk2Fykq8rERn/4j6h0fTsm+5gOAByAFkHgAAyA3usiVXvE5LkhQIGH+71gKue+AsBcgBg2QeAADICfMaKxVd2lBdXqJlcYqlw4ql4xLBA5ADyDwAAJAbykoCvgJoafJi6bA2J/NwsIDrHjhLAXIAmQcAAHJHdN3DSfMbp3yMG3DsZ9kSgHQZHQtqNGglScYoUnAFAACyY2GzP/Nw0oL6KR9TLO1aCR6ALBsec5YslZbIGIIHAACyKbpoOpHMwzyn5oFlSwDSZnDEGRBHvQMAAFnnznqoKS/Rslk1Uz5mfpFMmeZMBciyodHxeodK6h0AAMi61XPHlymdvrhJgSmKpSVpXsN45mF/54CstWnZt2wjeACyjMwDAAC5ZdXcOn3ylat1xdo5+vSr1ib0mLrKMtVVlkqShkeDOt43nM5dzJrSbO8AUOzIPAAAkHtuvGC5brwgucfMb6zS9kM9kqSDnYOaVVuRhj3LLj7mBLKMzAMAAIXB3661MIumOVMBsmzIN+OB/5IAAOQrt+6hUNu1cqYCZJl/ujTLlgAAyFdu5qFQ27USPABZNkjmAQCAglAM7Vo5UwGyzM08VJB5AAAgb1HzACDtyDwAAFAY3JoHli0BSAtqHgAAKAxzGyplQvPkjvQMadj5G18oCB6ALCPzAABAYSgrCWhOnZd9sFY63F14dQ+cqQBZ5qt5YEgcAAB5bV5jYbdrJXgAssyd81DJkDgAAPKaWzR9oADrHjhTAbKMzAMAAIWj0Nu1EjwAWeYvmOa/JAAA+azQp0xzpgJkmb9gmswDAAD5zLdsieABQKqReQAAoHAU+rKl0mzvALLruQNd+vyvt+pIz5BWttbqW+84I9u7VHTIPAAAUDh8y5YKsGCa4KHIWSs9vrNdklRewqfe2eAvmObfAACAfNZcU66K0oCGRoPqGRxV9+CI6ivLsr1bKcOZSpGbUz8eHR/uKbzUWj4Y9LVqJfMAAEA+M8b4li4dLLClSwQPRa6lplwlAW+Oemf/iO9EFpnhyzxQ8wAAQN7zDYorsKVLnKkUuUDAqLWuInL9aM9QFvemOA2NOpkHah4AAMh7bQ2F23GJ4AG+4OEIS5cybnCEzAMAAIWkkNu1cqYCtbp1D91kHjKNzAMAAIWlzVm2RM0DCs6c+vHMw+HuwvoFzwdkHgAAKCxu5mF/gWUeaNUKtdaNR8dHqHnIuCHfnAeCBwAA8p1v2VKMgmlrrfa2D2jrwS49d6Bbl6+do5MXNGZwD6eP4AFkHrJs0DdhmmVLAADkO7dg+lDXoJ470KVtB3v03AEvWNh2oFs9Q6ORbSrLSggekD/cmocj1DxklLVWw07wwKA+AADyX1V5iZqqy9TRP6KRMatrvvHQpNtvPdCdoT2bOYIHaI5v2RKZh0xyZzyUlwYUCM3cAAAA+a2tsUod/SNx72+sLtO6tnqtnVevs5e1ZHDPZobgAWr1LVsi85BJQ26xNPUOAAAUjNevX6DnDmyVJC1oqtLaefVa19agtW31WtdWr3kNlTIm/z40JHiAmqvLVRowGg1adQ14U6ZZe58ZvjatvOcAABSMG85bqqtPmqfK0hI1VJdle3dSho86MWHKNHUPmTNI5gEAgII1p76yoAIHieABIbPrqXvIBjfzQPAAAAByHWcrkCTNqaPuIRvczAPLlgAAQK4jeIAkL60WxqyHzCHzAAAA8glnK5DkHxTHlOnMGWJAHAAAyCMED5AktbqzHsg8ZMzgCJkHAACQPzhbgaSoWQ8UTGcMmQcAAJBPCB4gKbrmgWVLmULmAQAA5BPOViBJUXMeyDxkipt5qCgl8wAAAHIbwQMkSU3V5Sor8Uakdw+OamB4bIpHIBXczENlGf8dAQBAbuNsBZLCU6YZFJdpvswDNQ8AACDHETwgopV2rRnnyzxQ8wAAAHIcZyuIaPVNmSbzkAlkHgAAQD4heEAEHZcyb2jELZjmvyMAAMhtnK0gwg0eirHm4aUjvfrVpgMZLRYfHHVatZJ5AAAAOa402zuA3DHb1661uDIP7X3Duu4/H1bv0KjefvZifeG6EzPyum7mgZoHAACQ6zhbQYR/2VJ+ZR6stdq4p0MHOgem9fiNuzvUOzQqSfrTC0dTuWuTIvMAAADyCcEDIubU52/B9O2P7dZr/98juuhf7tf+aQQQu473RS7v6+jXsFPInE7UPAAAgHzC2Qoi5vjmPOTXsqXfP3dYkjQ8GtSfnk8+c7Dz2HjwELTSnvb+lO3bZIZG3SFxZB4AAEBuI3hARGN1mcpLvF+JnsFR9Q+PZnmPEre3Y/xk380iJGr3cX+wsOtY8s8xHWQeAABAPuFsBRHGmLwsmh4LWu3vGF+qtHMaJ/7Rj5nOc0wHmQcAAJBPCB7gMycPp0wf7BrQaNBGru9OMvMwNDqmA13+OokdGQoeBsk8AACAPMLZCnxa6/Kv49Ledv+J/+7j/Qo6wcTUj++Xjdo8Y8uWyDwAAIA8QvAAn3zsuLQ3qrh5aDSog0ns+85jE4ujM7VsicwDAADIJ5ytwKe1Pv86LrnF0mHJZA5iLXM61D2YkYJxN/NA8AAAAHJd3p2tGGO+Yoy51xiz1xgzYIxpN8Y8Y4z5rDGmJWrbJcYYO8nXj6bx+sYY805jzP2h1x4wxuw0xvzEGHNC6n7S7HAHxR3J08yDlFzmIN62u2JkJFLNzTywbAkAAOS60mzvwDR8VNJGSXdLOiKpRtLZkj4n6UZjzNnW2r1Rj9kk6RcxnmtLMi9sjKmU9FNJr5L0vKQfSOqR1CbpFZJOkPRCMs+Za1rr3GVL+ZF5iDWTIZnMg9vatbw0EBkQt+t4n9a21c98B+Ow1pJ5AAAAeSUfg4d6a+2Ej8SNMV+U9ElJn5D0gai7/2yt/VwKXvtr8gKHL0n6J2utbwyxMaYsBa+RVW7m4XBPnmQeOiZOlN51PPGsgZthOGdZi/70gjdkLt11D6NBq3Bdd2nAqLSE4AEAAOS2vDtbiRU4hPwk9H1lOl7XGLNc0vslPSnpU9GBQ2jfRtLx2pnkFkwfzYPMw+DImI7GqM1IdFDc4Mh4m9aAkS44YXbkvnQHD4MjZB0AAEB+ycfMQzyvDn3fHOO+NmPM+yS1SDou6VFrbaztJvNmecHW9yTVG2NeLWlh6Pnus9a+NL3dzi0NVWWRpTs9Q6PqGxpVTUXu/prsc4qlW2rKdbxvWJK053i/xoJWJQEz6ePdNq3zm6p0wpzayH3pDh6GRql3AAAA+SV3zwqnYIz5mKRaSQ2SzpB0vrzA4csxNr889OU+/n5J77TW7knwJTeEvjdIelleIBJmjTH/JenD1tqxCY+cuO9Px7lrdYL7kjbGGLXWVWhfaCnQkZ4hLc3h4MGtd1g9r07PH+rRsd5hDY8FdaBzQAubqyd9vLu8aUlLjZbOqhm/j8wDAACATz6fsXxM0mclfURe4HCXpCustUedbfolfUHSeklNoa8LJf1R0kWS7jXG1CgxraHvn5f0lKSTJNVJulReMPEBSZ+e9k+TQ3x1DznecckdELewqVpLWpyT/wSWLrkBwpKWGrU1VKk8dCJ/vG9YXQPpW4nmZh4qyDwAAIA8kLfBg7V2rrXWSJor6bWSlkl6xhhzurPNEWvtZ6y1G621naGvByRdIelxSSskvSfBlwyf3R2UdL21dou1ttdae5+k10kKSvpbY0x5Avu+PtaXpO0J7ktauXUPuT7rwW3TurC5WkuSzBy4AcaSWTUKBIyWtIxnK9KZfSDzAAAA8k3en7FYaw9ba++QFxC0SLo1gceMSvpO6OoFCb5UR+j7XdZaX3sfa+0mSTvlZSLWJPh8Oau1Ln9mPeyJCh7cZUexJkdH8wUPoaDB/xzpCx7IPAAAgHyT98FDmLV2t6StktYZY2Yl8JDw8qZEly09H/reGef+cHBRleDz5azWenfWQ24HD26b1oVNVb5lS7EmR0dz27SGsxZLMhU8uAPiyDwAAIA8UGhnLG2h71MWLcsbLCdJOxJ87ntD30+MvsMYU6HxFrG7Eny+nDXHzTzk8LIla632RWUeFjtLjnZOETxEt2ld2OQ9dlmGgodBd0AcmQcAAJAH8ip4MMasNsbMjXF7IDQkrlXSI9bajtDtZ8WqQTDGXCJvUrUk3R51X0PodeZFPexOeYHGlcaYy6Pu+7S8Lkx/stYems7PlkvyJfPQ2T+inqFRSVJ1eYlaasp9WYO97f0aHZswjsN3v9umNVwonWzR9XSReQAAAPkmd3twxnaVpK8aYx6Q1+HouKQ58jooLZN0SNJ7ne2/Im8Z0/2S9oVuO1nSJaHLn7bWPhL1GtdLulnePIcbwjdaa4eNMe+U9AdJdxpj7pC0W14L1wvkLYO6MSU/ZZa53ZaO5PCguL3OjIeFTdUyxqi2olSz6yp0tGdII2NWBzoHtagldrvWnVGdlsKWznYyD0f7ZK2VMZPPi5iOITIPAAAgz+Rb8HCPpG9JOk/SKZIaJfVJekHSbZK+Ya1td7a/TV4wsEHS1ZLKJB2WN436m9baB5N5cWvtQ8aYM+S1iL049PqHQ/v0BWvtvkkenjfyZdmSr01r83ipydKWmsjU6Z3H++IGD7ujZjyEza6tUE15ifqGx9QzNKrjfcOaVVsR6ylmxM080G0JAADkg7wKHqy1WyR9MIntb5J0U5KvcYukWya5f6ukNybznPmmvqpUFaUBDY0G1Ts0qt6hUdXm4KA4t9PSgqbxAGHJrGo9scuLIXcd69OFJ8yO+fidUW1aw4wxWjq7Rlv2d3vbHetLS/Dg1jxUlhE8AACA3McZCyYwxvjqHnK1Xau7bGlRsxs8JFbw7M5wWDrLn51wMxHpKpr2Zx5YtgQAAHIfwQNicpcuHc7RuofoAXFhSxNs1+ouW1rc4u/Ym4mOS+6QODIPAAAgH3DGgph8RdM9uZl52NcRu+Zhsa9bUuxBcfHatIYlO6l6OnxD4sg8AACAPEDwgJhm17nLlibPPAwMj+l7j+zSQy8eS/duRYwFrfZFdVsKW+IsQYrXrjVem9awTEyZHqLmAQAA5BnOWBCTm3mYatbDl+7cps/+6jm9/buPp3Womutw96BGxryz/5aactU4Bd3V5aWaE6rZGA1aX4YiLF6b1jA3eNh1vE/BoE3ZvocNUvMAAADyDMEDYprjFkxP0q51aHRMd2zcL0myVtq8rzPduybJX++woHliK1ZfwXOMugd3+JsbKIQ1VperqbpMkneSfygNReO+OQ+0agUAAHmAMxbElGjm4aEXj0WmPEuKzFdIN7dN66IYwcPSKWoWdk1SLB2W7roHN/NQyZA4AACQBwgeEFNrXWKZh99uPui7nqngYa9bLN1UNeF+98R/d4yi6cnatI7fPv4cO9IQPJB5AAAA+YYzFsTUmkDmYWh0THdvPey77WhvZoKHfXHatIYtcaZKx6rD2DVFzYPkb9dK5gEAAIDgAXHUV5ZGOgD1D4+p11maFBa9ZEnKnWVLS6IKnl1em1YvIAoY/3TqeM+RjkJwMg8AACDfcMaCmIwxaq2bPPvw22cPTrgtc8uWYrdpDVvcPH7iv69jQCNOu1Y38FjQVD2hTWuYr13rJMPmpss354HMAwAAyAMED4jL7bgUHTzEWrIkSccysGxpcGQsMvU6YKR5jZUTtqkqL9G8Bu/2saD1dWdylyAtbomddZD8y5n2HI89L2Im/K1a+a8IAAByH2csiMute4jOKDz04jH1DHpLluY3jhcsH+8bTvlJdjR3bkNbY5XKSmL/Gi9pib10aao2rWE1Ff55Efs7J86LmAmGxAEAgHzDGQvimjPJsiV3ydKrTpmn5ppySd6sh/a+4bTu11RLlsL8NQv9MS/HK5aOdX+qOy4NMSQOAADkGYIHxNXqW7Y0nnmIXrJ0zUnzNLs2sdauqeDvtDSxTWuY24J1t5NtcC8vidOmNWzZ7PR1XPIVTJN5AAAAeYAzFsQVb8r0wy+NL1la0FSlk+Y3aLYzFyLddQ/ujIdYnZbC3OFvbrekRNq0xro/1R2XaNUKAADyDcED4oq3bOk3zmC4a06aJ2OML3hId8elPccnn/EQtjRGu1a3TWtJwMRt0xrrOVIdPNCqFQAA5BvOWBCXu2zpSCh4mLBk6eR5kuQPHtKeefC3Wo1nUXO1jPEu7+8Y0PBo0NemdX5jVdw2rWHpCh7GglYjY1aSZIxUHqfoGwAAIJdwxoK4/FOmh2StjblkSZJm1ZZHtk135mFvgjUPlWUlamvw7g9ab76DGwAsmaTTUtiiFicA6RzwZQtmIjrrYMIvAgAAkMMIHhBXXUWpqkJr8QdGvCnTv918KHJ/eMmSpIwtW+rqH1F3KHipLAv4CrVjcQuidx3ri6p3mHzJkuR1QQq3orXWv2RqJui0BAAA8hHBA+IyxviKpvd1DOgPW8eDh1eeNC9yeXZt/JkQqRTdpnWqT+yjZz3sOp54m9awdCxdGmTGAwAAyEOctWBSrU7R9M837vMtWTp5QUPkvkzVPPiXLE2dOYgumnYzD5MNiIv3HKkKHsg8AACAfETwgEm5RdM/enJv5LK7ZEnyBw/H0ph5cAueJ2vTGua2a911rN8342FxAsuWJDIPAAAAYZy1YFJznKLpcNZB8i9ZkqTGqjKVBrxgontwVIMjqSksjubvtBS/WDrMHRS3/VCPr01rIpkLKXpSNZkHAABQvAgeMKnWuokFydFLliQpEDCaVZv+QXF728cHxCVy8r+wuVqhmMa3TwuaqlSWYHvUZekIHkbdAXH8NwQAAPmBsxZMys08hL0yaslSWCY6Lu1NctlSRWmJ2honZigWJ1gsLXnzIMpKvJ/3SM+Q+oZGp3jE1NzMDJkHAACQLwgeMCm35iEseslSWLpnPQSDVvs6kss8SLELo5cmWO8gSaUlAd9rpSL74GYemC4NAADyBWctmFR05mF+Y5VOiVqyFJbujktHeoY0POaddDdVl6m2ojShx8VqyZpM5kHyL13adXzmwYObeagsI/MAAADyA8EDJhVd83DNybGXLEnpX7bkFksnsmQpLNYk6UTbtEaewwk2dh4l8wAAAIoTZy2YVG1FqWrKxz8Zj7dkSZJv2nM6Cqbd6c4LkgkeYixRihVQTGbpbCd4SHHmoYLMAwAAyBMED5iUMUZvOWuRJOmiVbPjLlmSpNl16Z0yHT1dOlHRgUJJwCTU5tW1tCW1HZfIPAAAgHyU2KJxFLVPXbNWN16wXLNqy+MuWZIysGzJadOazLKlhU1eu9ag9a4n06Y1bEVrbeTyc/u71TM4orrKsqSew0XNAwAAyEd85ImEzK6rmDRwCG8Tlo6CabdN68LmxDMH5aUBLXAyFbEKqKfSWl+ptfPqJUnDY0Hdt/1I0s/hIvMAAADyEWctSJnoVq3W2pQ+/3SXLUn+pUuxaiAScfWJcyOX79pyaFrPETY06tY88N8QAADkB85akDK1FaWRacmDI0H1pmCYWtjQ6JgOdQ9KkgJGMQe/TWbVnPFlRyfMrZvWPlx90njwcP/zRzUwPDbJ1pMbGnEmTDMkDgAA5AmCB6SMMSZtdQ/7OwYUTmTMa6hSeZJLff7y/KU6Z1mLLl87R689bcG09mFFa12k9mFgZEx/euHotJ5HIvMAAADyE2ctSCl/u9bhlD3vXmeydLKdkiQv4PjhjWfr2+84Q1Xl0/+k37906eC0n2eQzAMAAMhDBA9IqXRlHvzF0tOrWUiFK9eNBw/3bjviyyAkg8wDAADIR5y1IKX8wcNgyp7XDR6SadOaauva6iOdnnqGRvXIS8en9TxkHgAAQD4ieEBKza51BsWlsF2rr9NSEm1aU80Yo6tPHJ+yfec0ly6ReQAAAPmIsxak1Kw6f7vWVHEHxCXbpjXVrnLqHu7eelijY8FJto7N7bZUQeYBAADkCYIHpJRbMJ3S4KEjN5YtSdKpCxo1t97LsHT0j+iJne1JP8fgqDthmv+GAAAgP3DWgpRKx5TpHUd71dk/IkmqLi/xvUY2BALGl324cxoD48g8AACAfETwgJRyT+yP9aSmVes92w5HLp+/YpaMMSl53plwuy79/rlDCgaTm6ZN5gEAAOQjzlqQUrN8cx6Gkj6pjuXurePBw+Vr58z4+VLhzKXNaqnx6juO9Axp456OpB5P5gEAAOQjggekVGVZieorSyVJo0GrzoGRGT3f8d4hPb3bOzE3RrpkdeuM9zEVSgJGV6wbD2TuSnLp0uAImQcAAJB/OGtByqVyUNwfnz+qcPJi/aImtdRmt97BdZWvZeshWZt4lmVolMwDAADIPwQPSLlZKey4dPfW8U/0c2XJUtg5y1oiWZb9nQPasr87ocdZa6OCB/4bAgCA/MBZC1LO33Fp+lOmB0fG9MALxyLXL8ux4KG8NKDL1ozvU6ID49zAobwkoEAg+wXgAAAAiSB4QMqlatnSIy8f00CoNmDZ7Botn107431LNbdl610JLl0i6wAAAPIVZy5IuVQFD3dvPRK5fPma3Mo6hF1wwmxVl3s1CzuO9enFI71TPmbIKZauKKPeAQAA5A+CB6TcbF+71unNeggGrW++Q67VO4RVlpXoYqcD1J3PTt11icwDAADIV5y5IOVSkXnYvL8r8tiWmnKdtqgpJfuWDlf7pk1PXfdAm1YAAJCvOHNByqUieHC7LF2yulUlOVxUfNGqVpWHMgjbD/Vo17G+SbenTSsAAMhXBA9IOXfZ0tHe6QUP9zj1DrnWZSlabUWpLlg5O3L9zikGxg2NknkAAAD5iTMXpFxzTblMKFHQ3jeskbHg5A+Isud4v54/3CPJqwl4xcpZqd7FlHOXLt313OTBw+AImQcAAJCfCB6QcqUlAbXUlEeuH0+yaPpup1D6/BWzVF1emrJ9S5fL1sxRaWhp1aa9nTrYNRB3WzfzUEHmAQAA5BHOXJAWM5ky7dY75PqSpbCG6jKd7hR1P3+oJ+62buahkswDAADIIwQPSAu3aPpYEnUPnf3DenJXR+T6pWtaJ9k6tyxoropcPtgVf7I2mQcAAJCvOHNBWky349Ifnz+isaA3pfnUhY1qratM+b6lS1uDEzx0xl+2ROYBAADkK4IHpIUveEgi8+B2WcrVwXDxzGscD3QOTJZ5GCHzAAAA8hNnLkiL2dOoeRgaHdP9z+dv8ODLPExSMD3ozHmoLCPzAAAA8gfBA9JiOsuWHtvRrr5h71P5Rc3VWtlam5Z9Sxc383Cwc7LMg9uqlf+CAAAgf3DmgrSYTubB7bJ0+do5MiZ3p0rHMs/JPBzoGpC1NuZ2voJpggcAAJBHOHNBWiRb82Ct9U+VXpNfS5Ykqb6yVDXl3jKkwZGgOvtHYm7nK5hm2RIAAMgjBA9IC1+r1gQyD88d6Nahbm+pT0NVmTYsaZriEbnHGKN5jf7sQyxkHgAAQL7izAVp0VBVprISb9lRz9CoBobHJt3+D1vHp0pfsrpVpSX5+avZ5gYPceoe3MxDBZkHAACQR/LzDA05zxjjq3uYalDcPU7wkG9dllxtDU7RNJkHAABQYDhzQdq4S5eOTLJ0aV9Hv7Ye7JYklZcEdMEJs9O+b+niK5pOIPNAzQMAAMgnBA9Im1kJdlz63bMHI5fPWd6i2orStO5XOvnatZJ5AAAABYYzF6RNoh2XfrN5PHi45uR5ad2ndPMNiouTeRgadec8kHkAAAD5g+ABaZPIoLjdx/u0eV+XJKmsxOjKtXMzsm/p4mYe4nZbGhnPPFSW8V8QAADkD85ckDa+dq1xMg9u1uGClbPVUF2W9v1KJzfzcLh7UMHgxEFxZB4AAEC+InhA2iQyZfrXmw5ELr/qlPxesiRJVeUlagwFQCNjNmbQNEjmAQAA5CnOXJA2Uy1beulIr7Yf6pHkFQ7n41TpWHwdl7om1j34Mg90WwIAAHmE4AFpM1Xw8JvN41mHi1e1qq4yv5cshflmPXROrHvwZR7otgQAAPIIZy5IG1+r1t4hWTu+/t9aW3BLlsL8RdNkHgAAQOEgeEDa1FSUqrrcOzkeHg2qe3A0ct/2Qz16+WifJKmqrESXrG7Nyj6mwzxfu9aJmQd/wTT/BQEAQP7gzAVpFW/pkrtk6bK1c1Rdnr+D4aK1+QbF+TMPI2NBjYU6MJUEjMpK+C8IAADyB2cuSCu341K485C11tei9VV5Phgumr9g2p95IOsAAADyGWcvSKtYmYct+7u1+3i/JKmuolQXnjA7K/uWLpNNmfa3aaXeAQAA5BeCB6RVrODh186SpcvXzim4k+g5DeM/85GeQY2OjWcbyDwAAIB8xtkL0mp2jI5Lv3WXLBVQl6WwitKSSNAUtNJhp9aDzAMAAMhnBA9Iq1lRmYeNezq1P9SBqKGqTOevKKwlS2HxZj0MjZB5AAAA+YuzF6SVL/PQM+TrsnTVurkqL9AT6HhTpodGxzMPBA8AACDfFE5/TOQkt+bhcPegth3sjlwvxCVLYe6gODfzMDjCgDgAAJC/CB6QVm7wsP1QT+RyS025zlnWko1dyghfxyUyDwAAoEBw9oK0aqktj3n71SfNVWkBD0hzMw8H4mQeKJgGAAD5pnDP3pATKkpL1FhdNuH2V53cloW9yZx5ZB4AAEAB4uwFaecWTUtSa12FNixpztLeZEZbnMzDEJkHAACQx/IueDDGfMUYc68xZq8xZsAY026MecYY81ljTEvUtkuMMXaSrx/NcF9ucp5rxcx+ssI1Kyp4eOVJ81QSMFnam8xorauM/IzH+4Yj8x3IPAAAgHyWjwXTH5W0UdLdko5IqpF0tqTPSbrRGHO2tXZv1GM2SfpFjOfaMt2dMMa8WtJfSuqVVDvd5ykGbtG0JL26gLsshZUEjObUVUTatB7qGtSSWTX+bkulZB4AAEB+ycfgod5aOxh9ozHmi5I+KekTkj4QdfefrbWfS9UOGGNmS/q2pB9LmivpwlQ9dyFyg4f5jVU6bWFTFvcmc+Y1VkWChwNdA1oyq8aXeagsI/MAAADyS96dvcQKHEJ+Evq+MgO78a3Q9w9m4LXy3rLZNZHLrz6lTYECX7IUNs83Zdr7tR0aJfMAAADyVz5mHuJ5dej75hj3tRlj3iepRdJxSY9aa2NtNyVjzA2SrpN0vbX2uDHFcSI8E9edOl9b9ndpZMzqry8pntKQtka345JXNB2ufZDIPAAAgPyTt8GDMeZj8moNGiSdIel8eYHDl2Nsfnnoy338/ZLeaa3dk8RrLpb0dUm3W2t/Ma0d957n6Th3rZ7uc+aymopSfem1J2d7NzLOzTyEly/5Mw8EDwAAIL/kbfAg6WOS5jjX75J0g7X2qHNbv6QvyCuW3hG67WR5xdUXS7rXGHOqtbZvqhczxgQkfU9egfSHZ7rzKHy+WQ+dsTIPLFsCAAD5JW+DB2vtXEkyxsyRdK68jMMzxphXWWs3hrY5IukzUQ99wBhzhaSHJJ0l6T3ysglT+ai8wuhrrLUdM9z39bFuD2UkTp/JcyN3uLMeDsbKPLBsCQAA5Jm8P3ux1h621t4h6Qp5NQ23JvCYUUnfCV29YKrtjTErJX1R0s3W2t/NYHdRRNzMw4EYmQcKpgEAQL7J++AhzFq7W9JWSeuMMbMSeEh4eVPNpFt51kmqkPSu6EFzGm/T+mLotuuS3XcUppaacpWH6hq6B0fVNzTqyzxQMA0AAPJN3i5biqMt9H1s0q08Z4e+75h0K88uSTfFue8aebMefiqpO7QtoEDAaF5DpXYf75fkdVwaYkgcAADIY3kVPBhjVkvqtNYeiro9IK8wulXSI+GaBGPMWZKesdYOR21/ibwaBkm6Peq+BknzJHVZaw9KkrX2z/JqI2Lt0/3ygodPWmtfmsnPh8LjBg8HOgc1yJA4AACQx/IqeJB0laSvGmMekPSyvJkNc+QtHVom6ZCk9zrbf0XeMqb7Je0L3XaypEtClz9trX0k6jWul3SzvM5KN6T+R0AxaWvwz3og8wAAAPJZvgUP98ib7nyepFMkNUrqk/SCpNskfcNa2+5sf5u8YGCDpKsllUk6LG8a9TettQ9mbM9RlOY5HZfIPAAAgHyXV8GDtXaLpA8msf1Nil+rEO8xt0i6JYntL0rm+VFc5pF5AAAABYSPPoE0ip71MDTqtmrlvx8AAMgvnL0AaRQ968GXeWDCNAAAyDN5tWwJyDf+gulBjYy5y5aI3QEAQH7h7AVIo/qqUlWXexmG/uExjYzZyH0EDwAAIN9w9gKkkTHeoLhoFaUBGWOysEcAAADTR/AApFlbY9WE2yqpdwAAAHmI4AFIs3iZBwAAgHzDGQyQZm7HpbAKBsQBAIA8xBkMkGburIewSgbEAQCAPETwAKQZmQcAAFAoOIMB0ixmwTSZBwAAkIcIHoA0i7VsicwDAADIR5zBAGlWXV6qhqoy321kHgAAQD4ieAAyILpdK5kHAACQjziDATIguu6hgswDAADIQwQPQAZEZx4qyTwAAIA8xBkMkAFkHgAAQCEgeAAygJoHAABQCDiDATIgelAcmQcAAJCPCB6ADIie9UDNAwAAyEecwQAZMDd62RKZBwAAkIcIHoAMqCgt0aza8sh1Mg8AACAfcQYDZIhb90DmAQAA5COCByBDFjaPBw/1laVZ3BMAAIDpIXgAMuRd5y3VrNpynbKwURecMDvbuwMAAJA0Pv4EMmTDkmY9/snLFDCSMSbbuwMAAJA0ggcgg0oCBA0AACB/sWwJAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkxFhrs70PCDHGHK+qqmpes2ZNtncFAAAABWzbtm0aGBhot9a2JPM4goccYozZKale0q4UPeXq0PftKXq+QsZ7lRzer8TwPiWO9yo5vF+J471KDO9T4grlvVoiqdtauzSZBxE8FDBjzNOSZK1dn+19yXW8V8nh/UoM71PieK+Sw/uVON6rxPA+Ja7Y3ytqHgAAAAAkhOABAAAAQEIIHgAAAAAkhOABAAAAQEIIHgAAAAAkhG5LAAAAABJC5gEAAABAQggeAAAAACSE4AEAAABAQggeAAAAACSE4AEAAABAQggeAAAAACSE4AEAAABAQggeAAAAACSE4AEAAABAQgge8pQxhn87AHmB4xWAfMHxamq8QXnEGHOJMWaTMWa2tTaY7f0Bio0xpjnb+5AvOF4B2cXxKnEcr5JD8JAHjDFLjDG/kXSPpJMkXZ7lXcpZxpg2Y8x7jTHXG2MuyPb+5DpjzCxjTGPoMseDOIwx840xd0n6L2PMsmzvTy7jeJUcjlmJ43iVGI5XieN4NT3858thxpiAMeZfJe2QdKqkJySNSCoL35+9vcstxvMlSS9K+oak/5V0nzHm58aYtdndu9wTer/+r6Stkj4gSXzaEpsxpkLSv0i6IvR1vjGmJLt7lXs4XiWHY1biOF4ljuNVYjhezQxvTo4yxrxb0jFJN0r6H0mvkfQLeb/Yp0scPMOMMWWSvi3pI5J+JOm9oa/fS7pO0vf5YzzOGHOKpF9L+kdJsyRdFX5/OGDGNCzpZEmbJXVJep+kNVndoxzD8So5HLMSx/EqaRyvpsDxaub4j5djjDHzjDFPy/vD8pCkd0j6tLV2o6TfhTZbaoypzdY+5qBTJL1N3vvzMWvt7dbamyS9StIvQ/d/zhizWvI+xcranmZZ6A/xVyW9UtJPJf1Q0vny3j8OmFFCn9hVSQpKekzeSczZkl5ljKkJbVPMv08cr6aHY1YCOF4lh+PV5DhepQ7BQ+5plPSApI9K+pC19ufW2mOh+yokHZdUZ63tLeaDQJSzJZVLus1a2xFKR5Zba62kz0q6V9K1kl5njKkM3V6s5ks6TdI/WGvfKO/92S/pzcaYiyU+zXNZa8cklUhaJukP8k5edkm6Qd77qCL/fWoUx6vp4JiVGI5XSeB4NaVGcbxKCf7T5YjwL6q1dpukz1lrv26t3RO6L7xe8SV5abUNxpilRX4QcK0KfY98WmCtHQ593yzpu5LaJb1B0vqM710Osdb+Tt5Jyb+Hbjoo6f9JWizpncaYamttkAOnz3xJA/L+7z0h6XZJKyW90RgzL5s7li0cr2aMY1YCOF5NC8erKByvUo/gIYtCVf61zidOMsYErLVdocvhX/ix0O0d8qLmAUmzs7bjWRL9B8L5xOmx0PfzQ+9lMGr7P0j6raQTJV1ojCnPxP5mk/u75dxWKknW2kestSOhy33yPp16Wt5a62tDtxfFgTPO+xR9XByU1CzpsLV2VNKv5P3OvVmhtcTGmLOMMW2hywV5IsPxKnkcsxLD8SoxHK8Sx/EqvQgessAYc4ox5reS7pe0U9LvQgU8vjWc7gEx9OlKhbxiqBZ56xoLPmVrjDnJGPMbY8yp1lrrfErgvlfPSzogr2PCGud+G/p+XN56xh5J14Q/4StEU/xujUZtG/6jsUfeJ3v18j7Nmx+6v2B/txL9PxhygrwuHP2h65sk3STv/+CnjDGb5RW6Xhh6fEGdyHC8Sg7HrMRxvEoMx6vEcbzKDN6YDDGegDHmg/I+BVgm6SlJj8orAPu2MeafnE8DAlGPD1hrhyQ9G7rpAqlwC8aMMRXGmE/KO/C9UtKnpMiazmj75b2n6yVdYowJ/8c3zh+c38tLeZ9jjDk53fufSdP93XJOVILy3p9fyOtx/ebQUxfaH5Vk36ey0ENLQ19DUuSk5ilJRyRdJG8JxfckPZK5nya9OF4lj2NWYjheJYbjVeI4XmWBtZavDH1JWiBpm6Q/Szrfuf0N8j6J6pf0JUkloduNs40JfX+9pFFJ/xS6Hsj2z5WG92mepK/J6xixXdLR0OVXhu4vifGYd8hbI/yMpPOi7isPff+upF5JG7L9M+bS75az7cXyWvv9WdJpzu2rsv3zZfB96nPfp9B9H5bU6fwf/Hjo/RwNfd8qaX22f7Zc+p0qpuNV6OfimJWh3y1nW45XHK9S8jtVbMerlLzf2d6BYvqS9JnQH5T3xrjvOnkptnZJbw7dNuEXN7RdUNJd2f550vg+XR/6o/C4vA4I14Z+5secbUzU9yZJN4e2u0XSitDt5c5j7gndvzzbP2OO/m7VyVsOEJT0ZUnLJf2DpBckvTXbP2M23qfQ7R+WtE/S20N/hIKS7pP0QXkt/0bkfcrclO2fLwd/pwr+eBX6OTlmZf53i+MVx6tU/04VxfEqJe93tnegGL7Cv6SS/lnSmKSLQtdLnD8kNfIGBgUl/UnS7KjHhrdrkddO7AlJ87L9s6Xp/TpF0l9JanZuezT03nwo/N4594Xfm3NDB8mgvMFLlaHbq+V9ytcl6bvZ/vly7Xcr6j1cIullSYflfUIVlLQ7/Lz5+jXN96k1dPuXQ7cNyZsG/I8KncxJOiv0fvVLOivbP2eu/E4V0/Eq9HNyzMrQ71bU+8fxiuMVx6ssfFHzkAF2fN1cvSSj8QI5a0O/sdbrIvFzeUU+50t6nfvY8HbyWvvtlfdL3p2B3c84a+0mSTdba9vNeFeJj4S+f8IY02pDHRJC24ffw0ckfUxe6vINku4zxnxb3qct/yrpkLxP+gpGKn63whuHLp4o7/dqtrw/zP9grV1srb0/nT9Huk3zfXp9aJt/l7RR3qfDb7PWftla+3Lovs2SviXpE9bax9P7U2QGx6vkccxKDMerxHC8ShzHqyzJdvRSDF8aj26v0HjkWxO6zV13VyLpXfIq/n+oOGlFeZ+sBCWtyfbPlqH3L/ypwPdCP/e/Rb93UdufKOmb8taDtsvranKTpIZs/yy5+rslaaG8k5Xjoef5ViG9XzN4n2aFbl+h0KfC4edznrOg1sVyvErJe8gxK42/Wxyv4r5PHK84XmXki8xDBtjxyPjp0NdpCvWnjtpuTN4nBi/LS4PH6xH+GUlnWm/gSTEI/9wfl5eW/LAx5nRrrTXGlDndSSRJ1tot1toPSVoq6Qx56dl321B/50KSqt8tSYskXS3vwLneWntjIb1fM3ifwp9MvWStHXQ+OQ7a8U+tCqojB8erlOCYFQPHq8RwvEocx6vsIHiYpuiDf4J65UW8tZLeaoyZH/pj4v47PCuvU8dqed0DIpz//N+z1j41vT3PvGm+VxHWS/eXWGuPyPuPbSR9LnTfSOg9LI3xuCPW2h3W2r0zef08Ma3fLeffZqOk11trT7fWPpPB/c60lPwfLBJFebxKhWI9ZiVxrC/q41W636ewQjheZfq9Ksbj1XQQPExfVSIbub/41usjfJe8tNoVkt4Tuj1ojCkJ9RoOyuuUMCypI+V7nR1Jv1cxhP9jf0nekKBXGWOuDj3uaklfNsa0znRHc4ExZp4xps5MMVU2Fb9b1trwmtABa+2WtPxAaZLJ9ynf8V4lZzrvVwwFf8wK9df/G2PMWxLZNny52I5XmX6f8hnvVZ5IZG0TX+Nf8orafiHpbnn9hN8naWnovgndNJzrrZLK5QVsr5XXRWNI0qujttsgb5jLw5Kqs/3zZum9mh3rZ5dUEfr+Snl/mJ+T9BWNr1F8U7Z/5hm+X2+S9Ad5xZMdkn6sUL9qSaX8bvE+8V7l7PtVdMes0O/IsdDP8TtJbaHbA1HbFfXvFu/T/9/e3QdZUtV3GH9+O8uCgiy44cVAcEkBgkiCgPImxQBBTCqLoVBDDBGIkRWEgEVQEfNCqSEkppRAUhASpCyDiYGiQjSCBgRSoXyPJAhVGAwvIijysgrsAjt78sc51+m93N05d5mZvn3n+VSdunu7T/ft852u2Xumu88xq3EsrR9AVwqwN7lHu66cfN8t/34euK5Rr/+k3oY8BvgXgHeTL18HcGbZfhXwEeBg8sM8XyQ/5f+2ttvcclan0vjPuq/eFuU/4XWlfBM4rO12v4i8fok8CkRvJtB/BW4qbbt3I9stqHPLnMxqxPNaSL+zeqPaPEUeEeop4OwZtllw55Y5mdW4ltYPoAsFOJJ8j+Xd5OH39i7L38z02NInlmW9UTY2I09xfgl5tscp4C19+/0A+R68dcCaUucR4O1tt3kEsjp+wL6XkCe+uabs5xHgHW23+UVkNcH07Jd3kYds3KOx/obSzrf2bbegzi1zMquO5DX2v7P62nYk+faP3yV/SfsWsE9Z15yTYUGeW+ZkVuNcWj+AUS/ky9HfKCfyCbzwr+WnlpPzouY68mQsq8l/yfoE61/y7k2PvgjYEXgX8F7gnTRu5+lamYus+rbfj/xXg3XAx7qcVWnPDuS/dt4NHDvg/Di9tPXQvu0W1LllTmbVpbz66o3V76y+tv0m8DBwEHBxaeNFA+otyHPLnMxqnEvrBzDqBVhKvmf/xMayZg/47eUEv7C8b34p/iSwW+P94r59j9t4y3OWVVm2HXAOZbbMcSjkh7p2HbB8L+C/yJP6bNn/S28BnlvmZFadyqssG8ffWb0rxicDPyUPiPEa8nMc9wO/UtZvtpDPLXMyq3EuvR+YNiIidiVPRvNTyCM+9J7cj4i3AJ8FVqaUrij1J1IeU7i3/UTZrPPDps3ErOo0Rn5Y731EbAUcRf6L59HAV8n3ft5HnsH29r79jHVe5lTPrIZjXi9ORFwAnET+kjcFvAf4c+Bq4HfK7/5lKaXHGtssuKzMqZ5ZdYdDtQIRsVVETG5ofUrp/1JKP0lFWdY7UV9bXu9s1G9+GV6UUpoalxPbrIazobz621i+tGwOvIM8K+1hwF8A15O/uLwTuDYijm7se2zyMqd6ZjUc86o30+/3Umei/HMr4PmU0lMppdXAdcBXgBXA70XE3wDX9eqPU1bmVM+sxtRsX8roWiE/gd8bAeMXh9w2yE/v/wB4WVk2tpfKzGru8wLOIN8bvbRv+fuAp8lfajaj73mSLhdzMivzar8MmxX5IfCbySNJLSrLjiP/xfj58nolsLzttpmTWVlm+Wfb9gG01vD8IM1Hy8m4upzclwy5j2XAM8CV5f0LvgyPw38wZjX3eTV+UTafEZloLN+T/CDZE8BL2m6jOZnVKBfzmrusGnn8C3B7Y/kxwL1l+yngn4Et226fOZmVZfbLgrxtqcwaejJwHnl0oFPIQ/WdHhGHDLGrQ8k95JvgZ5e9XxoRKyLihN7HzdqBt8CshrOpeaVy2bX32rscy3QmDwGJPDvmFnN1/PPFnOqZ1XDMq96mZJWmbxHZFbgpInaOiC+Rx9qfAv6efJvXbsAry+dMDNpXV5hTPbNaINruvbRRyGNvnwl8hulbaM4h924/Dyyp3M8lZZudy/v9yROSPF6Wb9N2W82qs3n1z6j5obKPP2q7jeZkVqNczGtusyJ3pl5OnvSuNwztk8ClwOuBzYEPl+VX9efYxWJOZmXp+5m1fQDz1tAX/kewLY17Wsv7W8rJ+VsV+9uCPIzfV8m95TOYnpDkU8B2bbfZrLqZV9++di+/NJ8EvkzpfHWxmJNZmVf7ZbayIo+c9yD5PvVjgS0a6/YlX6n5SzYwB8aoF3MyK8tGfuZtH8CcNg72Bn4dOICNfEFl+n67t5FnN/wOsKxi31PAbeRLa+uArwOva7vdZtXdvMh/gdmKfGXmDxu/cL9AY0zrrhRzMivzar/MZlZMT8L1KvKwmjsOWDcB/Fzb7TYns7LM0c+/7QOYk0blWUM/Sx4Zo/ewztfIsx7/bPbBRv3mZGVXl/rnz/AZ72J6FIEfASe13W6z6n5e5Mlx/rTUe5Q8rO1vt91uczKrUSnmNTpZNbdrbtu1Yk5mZRnyPGj7AGa9Qbk3/D/ky1sfB04D/pE8adla4IMb2K530h8CPEK+F/9VG/mco4BVwAVtt9msxi6vPckPmx3fdpvNyaxGqZjXSGbV6S945mRWlk04F9o+gFlv0PRDNadRhtMjP2zzJqb/+n3MDPv4s1LvysayvYADKffgAVtSHgbqajGrkctr88ayzj4QZk5mZV7tl/nMqsvFnMzKsgnnQtsHMKuNga3Jl5jvaiwLpnu95zF9iW35gO179+btBvx3qXs8sJI81NjXgb3bbqdZmdeoFnMyK/Nqv8xTVq9uu53mZFaWls6Htg9gVhoxfVJuSx4L+B7Wf+Cmt/4lwI3lpH0/fZfGWP8+vbPJl+EeZ3rYsHe33VazMq9RLOZkVubVfjErczIry3yUTk4SFxGHRMSBEbE/rDfByLPkSUk2B3bu1U95QrJFKaXV5PkGnidfdlta9hfN/UTEfsA+wCJgG/K9fdullC6b+9bNLrMajnnVMad6ZjUc86pnVnXMqZ5ZqUrbvZdhCnAc8G2mn/KfAv4a2Les35I8E+E6YOVG9vP5UufU8r7ZI34veYSNdcDngF3bbrdZmdeoFHMyK/Nqv5iVOZmVpdXzpe0DqDpI2B64gjxG8O3A3wIXkYf9XAf8A7BDqXtiWXYHsG3ffnr35v1qY7vFZVk0tn8ceFPb7TYr8xqVYk5mZV7tF7MyJ7OyjEJp/QBmPEBYBlwGPEGeWXCvxrqjyLMWPwxMlmUB3FpO3vcN2N8E8BryvXtXl2WdHlXDrMzLnEajmJV5mZU5daWYlWWTz522D2DGA8xDgE0Bl1J6to11LwU+VU7kNzaWH0N+GOcx4Aime8S9XvA+ZZtrB3xeZ8cXNivzMiez6lIxL7MyJ7OydK904YHpe4BzgQ+klKYiYhFAeUDnGeDHpd6WvQ1SSjcCF5NHB7gQWFGWr42IVwBnke/p+2T/h6VyhneUWQ3HvOqYUz2zGo551TOrOuZUz6y0adruvdQUYOuNrLuG3MtdXt73esGvAD5R1j0NfAT4EPBp8mgAV5Of8G+9fWZlXqNezMmszKv9YlbmZFaWUSitH8CLOvg8rvA3gDvL+0V965eQxxP+bjnJ15CnRj+/7WM3q9Eu5mVOZmVeXSlmZU5mZZnP0nsCvlMiIlJKKSJ+mTwr4d+llE6PiMUppbUD6i8DdiJfZvt2SmnVPB9ya8xqOOZVx5zqmdVwzKueWdUxp3pmpRqL2z6ATZGmezwHkNtwU1m+FiAitgamUkpPR8RESukx8sM9C45ZDce86phTPbMajnnVM6s65lTPrFSjk52HhknyU/83AkTEEuBg4K3AM+ShxKZaO7rRMolZDWMS86oxiTnVmsSshjGJedWaxKxqTGJOtSYxK21AF0ZbGigidgTeANyQUnoqIl4LvJ/8wM7pwJOlXrR2kCPCrIZjXnXMqZ5ZDce86plVHXOqZ1aaSeeuPPTuxyOPJfxK4IsRcQr5hN6fPDX6oSmlB2BhDw1mVsMxrzrmVM+shmNe9cyqjjnVMyvV6lznoXGyHlJeDwBOBr4HHJ1SuqmN4xpFZjUc86pjTvXMajjmVc+s6phTPbNSrc51HgAiYjGwvLxdDvxBSumS1g5ohJnVcMyrjjnVM6vhmFc9s6pjTvXMSjU62XlIeSbDfwP+F/hYSunZto9pVJnVcMyrjjnVM6vhmFc9s6pjTvXMSjU6Oc8DrHdvnmZgVsMxrzrmVM+shmNe9cyqjjnVMyvNpLOdB0mSJEnzq7NDtUqSJEmaX3YeJEmSJFWx8yBJkiSpip0HSZIkSVXsPEiSJEmqYudBkiRJUhU7D5IkSZKq2HmQJEmSVMXOgyRJkqQqdh4kSSMjIu6LiPvaPg5J0mB2HiRJYyUiUkTc0vZxSNI4svMgSZIkqYqdB0mSJElV7DxIkuZVZGdExHciYk1EPBQRl0bE0gF1l0bEuRFxc0R8PyKei4hHI+L6iDior+7JEZHK28PL7Uu98id9dQ+MiGsi4pGyzwcj4vKI+Pm5a7kkdV+klGauJUnSLImIi4HfBx4GrgGeB94MPAHsBDyXUlpe6h4E3FbKvaXOLsCxwObAipTSDaXuvsBvAH8M3A9c1fjYW1JKt5R6pwBXAM8C1wMPAruXff4QOCil9MDst1ySus/OgyRp3kTEIcB/kjsCr08pPV6WbwF8GTgIuL/ReVgKbJZS+nHffnYGvgasSint1bcuAbemlCYHfP4ewJ3AA8DhKaWHGuuOBL4EXJ9SOm5WGixJY8bbliRJ8+mU8vrRXscBIKW0Bjivv3JKaVV/x6Es/z75qsWeEbHLEJ9/GrAZcFaz41D2eTP5SsSKiHjZEPuUpAVjcdsHIElaUPYrr7cOWPcfwNr+hRFxKHAWcDCwPbCkr8pO5CsJNQ4ur4dHxOsGrN8emAD2AL5ZuU9JWjDsPEiS5lPvoegf9q9IKU1FxGPNZRFxHPkKwxryLUX3Ak8D64BJ4HDysw+1lpXXc2eot9UQ+5SkBcPOgyRpPq0qrzsA32uuiIgJ8pf75u1EHwaeAw5IKd3dV/9ycudhUz5/aUrpJ0NuK0kLns88SJLm07fK66Av/Yfxwj9q7QbcNaDjsAh4wwY+Yx351qNBvtL4LEnSkOw8SJLm01Xl9fyIeHlvYRlt6cIB9e8Ddm/OvxARQR6O9dUb+IzHgF/YwLpLyUPDfryMvLSeiFgSEXYsJGkDHKpVkjSvIuKvgDOpm+dhJXAZ8CPg2lL3UHLH4d+BFcARvTkcyjafAU4APkd+6HktcFtK6bay/kTgSiCAG4B7yCMw7UK+IvFoSmnPuWq/JHWZzzxIkubbWeQv7O8BVpKvFFwHfBC4o1kxpXR5RDwLnA2cBKwmj8p0CnA8ufMwaP8JOAr4NfJV9gvIE82RUvp0RNwBnAMcAbyR/BD2D8idmX+atZZK0pjxyoMkSZKkKj7zIEmSJKmKnQdJkiRJVew8SJIkSapi50GSJElSFTsPkiRJkqrYeZAkSZJUxc6DJEmSpCp2HiRJkiRVsfMgSZIkqYqdB0mSJElV7DxIkiRJqmLnQZIkSVIVOw+SJEmSqth5kCRJklTFzoMkSZKkKnYeJEmSJFWx8yBJkiSpyv8DlaZmS2kGMHQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 351,
       "width": 391
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "argo.salinity[2].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc794778c40>]"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 331,
       "width": 391
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "argo.salinity[:, 10].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, it is often much more powerful to use xarray's `.sel()` method to use label-based indexing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc7947adeb0>]"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 351,
       "width": 391
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "argo.salinity.sel(level=2).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc7b315cc40>]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 331,
       "width": 382
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "argo.salinity.sel(date='2012-10-22').plot(y='level', yincrease=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`.sel()` also supports slicing. Unfortunately we have to use a somewhat awkward syntax, but it still works."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fc7457a54f0>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 346,
       "width": 395
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "argo.salinity.sel(date=slice('2012-10-01', '2012-12-01')).plot(yincrease=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`.sel()` also works on the whole Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (date: 1, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-10-22T02:50:32.006400\n",
       "    lon          (date) float64 -32.97\n",
       "    lat          (date) float64 44.13\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.47 35.47 35.47 ... 34.93 34.92 nan\n",
       "    temperature  (level, date) float64 17.13 17.13 17.13 ... 3.736 3.639 nan\n",
       "    pressure     (level, date) float64 6.4 10.3 15.4 ... 1.9e+03 1.951e+03 nan</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9ab04acf-7228-45dc-973c-75ce55f575cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ab04acf-7228-45dc-973c-75ce55f575cf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 1</li><li><span class='xr-has-index'>level</span>: 78</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e6148bb9-8ad1-459c-994d-bd32324a5d19' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e6148bb9-8ad1-459c-994d-bd32324a5d19' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-2bcdaa54-f86b-4329-b869-37ca4eec7b3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2bcdaa54-f86b-4329-b869-37ca4eec7b3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db74b2c6-e0fe-485f-8884-47df99ac541f' class='xr-var-data-in' type='checkbox'><label for='data-db74b2c6-e0fe-485f-8884-47df99ac541f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-10-22T02:50:32.006400</div><input id='attrs-5093ef50-1324-4b8e-bec2-7598234dbef0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5093ef50-1324-4b8e-bec2-7598234dbef0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55f85c04-4bef-428f-90f1-0749fab029ab' class='xr-var-data-in' type='checkbox'><label for='data-55f85c04-4bef-428f-90f1-0749fab029ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-10-22T02:50:32.006400000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-32.97</div><input id='attrs-e9c32fc6-e34a-4797-b0b1-19da2d9ddf7c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9c32fc6-e34a-4797-b0b1-19da2d9ddf7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-385fe073-fe83-468d-80c5-02e9d6c08b61' class='xr-var-data-in' type='checkbox'><label for='data-385fe073-fe83-468d-80c5-02e9d6c08b61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-32.972])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>44.13</div><input id='attrs-7c6a55b3-c027-4990-a9cd-4dfc255833e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c6a55b3-c027-4990-a9cd-4dfc255833e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df8387d8-4362-4fea-b000-711edf804864' class='xr-var-data-in' type='checkbox'><label for='data-df8387d8-4362-4fea-b000-711edf804864' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([44.13])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a10f4d2-975b-4491-9f91-1b86f99418cb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4a10f4d2-975b-4491-9f91-1b86f99418cb' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.47 35.47 35.47 ... 34.92 nan</div><input id='attrs-e0088602-c598-4a34-bdfd-ac0827eaa11e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0088602-c598-4a34-bdfd-ac0827eaa11e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28efafe5-a7a8-48ec-98cc-df2de2a69f63' class='xr-var-data-in' type='checkbox'><label for='data-28efafe5-a7a8-48ec-98cc-df2de2a69f63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[35.47483063],\n",
       "       [35.47483063],\n",
       "       [35.47383118],\n",
       "       [35.47383118],\n",
       "       [35.47383118],\n",
       "       [35.47483063],\n",
       "       [35.48183441],\n",
       "       [35.47983551],\n",
       "       [35.4948349 ],\n",
       "       [35.51083755],\n",
       "       [36.13380051],\n",
       "       [36.09579849],\n",
       "       [35.95479965],\n",
       "       [35.93979645],\n",
       "       [35.8958931 ],\n",
       "       [35.86388397],\n",
       "       [35.87788773],\n",
       "       [35.88188934],\n",
       "       [35.90379333],\n",
       "       [35.9067955 ],\n",
       "...\n",
       "       [35.00975037],\n",
       "       [34.96175385],\n",
       "       [34.96775055],\n",
       "       [34.95075226],\n",
       "       [34.93775177],\n",
       "       [34.93375015],\n",
       "       [34.93775558],\n",
       "       [34.9247551 ],\n",
       "       [34.92175674],\n",
       "       [34.91975403],\n",
       "       [34.91975403],\n",
       "       [34.91975403],\n",
       "       [34.92176056],\n",
       "       [34.92375946],\n",
       "       [34.92575836],\n",
       "       [34.92575836],\n",
       "       [34.92475891],\n",
       "       [34.93076324],\n",
       "       [34.92176437],\n",
       "       [        nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>17.13 17.13 17.13 ... 3.639 nan</div><input id='attrs-768611c0-fb2e-4092-a854-a1c82c77668e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-768611c0-fb2e-4092-a854-a1c82c77668e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5de78796-ed19-4a56-b81b-a4eab9dd73fd' class='xr-var-data-in' type='checkbox'><label for='data-5de78796-ed19-4a56-b81b-a4eab9dd73fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[17.13299942],\n",
       "       [17.13199997],\n",
       "       [17.13299942],\n",
       "       [17.13400078],\n",
       "       [17.13500023],\n",
       "       [17.13500023],\n",
       "       [17.13199997],\n",
       "       [17.13400078],\n",
       "       [17.11300087],\n",
       "       [17.09700012],\n",
       "       [16.67099953],\n",
       "       [16.40099907],\n",
       "       [15.76000023],\n",
       "       [15.58600044],\n",
       "       [15.35299969],\n",
       "       [15.18299961],\n",
       "       [15.15299988],\n",
       "       [15.05799961],\n",
       "       [15.04399967],\n",
       "       [14.99300003],\n",
       "...\n",
       "       [ 5.04799986],\n",
       "       [ 4.69399977],\n",
       "       [ 4.61399984],\n",
       "       [ 4.42500019],\n",
       "       [ 4.30600023],\n",
       "       [ 4.23099995],\n",
       "       [ 4.19500017],\n",
       "       [ 4.07600021],\n",
       "       [ 4.0170002 ],\n",
       "       [ 3.95000005],\n",
       "       [ 3.92499995],\n",
       "       [ 3.87899995],\n",
       "       [ 3.86800003],\n",
       "       [ 3.84500003],\n",
       "       [ 3.8210001 ],\n",
       "       [ 3.77800012],\n",
       "       [ 3.73799992],\n",
       "       [ 3.73600006],\n",
       "       [ 3.63899994],\n",
       "       [        nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(level, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.4 10.3 15.4 ... 1.951e+03 nan</div><input id='attrs-f4c03a7c-9e73-421a-b8f0-a270c7d2d14b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4c03a7c-9e73-421a-b8f0-a270c7d2d14b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc04048f-a5ad-41b7-882b-559d2c22d904' class='xr-var-data-in' type='checkbox'><label for='data-fc04048f-a5ad-41b7-882b-559d2c22d904' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[   6.4000001 ],\n",
       "       [  10.30000019],\n",
       "       [  15.39999962],\n",
       "       [  21.        ],\n",
       "       [  26.        ],\n",
       "       [  30.20000076],\n",
       "       [  35.40000153],\n",
       "       [  40.79999924],\n",
       "       [  44.79999924],\n",
       "       [  51.29999924],\n",
       "       [  60.20000076],\n",
       "       [  71.        ],\n",
       "       [  80.59999847],\n",
       "       [  91.        ],\n",
       "       [ 100.80000305],\n",
       "       [ 110.90000153],\n",
       "       [ 121.09999847],\n",
       "       [ 130.8999939 ],\n",
       "       [ 140.69999695],\n",
       "       [ 150.80000305],\n",
       "...\n",
       "       [1050.        ],\n",
       "       [1100.59997559],\n",
       "       [1150.5       ],\n",
       "       [1200.40002441],\n",
       "       [1250.69995117],\n",
       "       [1300.40002441],\n",
       "       [1350.40002441],\n",
       "       [1400.90002441],\n",
       "       [1447.90002441],\n",
       "       [1500.80004883],\n",
       "       [1550.40002441],\n",
       "       [1600.90002441],\n",
       "       [1650.09997559],\n",
       "       [1700.40002441],\n",
       "       [1750.5       ],\n",
       "       [1800.80004883],\n",
       "       [1850.69995117],\n",
       "       [1900.5       ],\n",
       "       [1950.80004883],\n",
       "       [          nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-429b30c8-7782-41e5-aaf7-db63f47e57a1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-429b30c8-7782-41e5-aaf7-db63f47e57a1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (date: 1, level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-10-22T02:50:32.006400\n",
       "    lon          (date) float64 -32.97\n",
       "    lat          (date) float64 44.13\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.47 35.47 35.47 ... 34.93 34.92 nan\n",
       "    temperature  (level, date) float64 17.13 17.13 17.13 ... 3.736 3.639 nan\n",
       "    pressure     (level, date) float64 6.4 10.3 15.4 ... 1.9e+03 1.951e+03 nan"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "argo.sel(date='2012-10-22')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Computation\n",
    "\n",
    "Xarray `DataArrays` and `Datasets` work seamlessly with arithmetic operators and numpy array functions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fc7a1101d90>"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 339,
       "width": 394
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_kelvin = argo.temperature + 273.15\n",
    "temp_kelvin.plot(yincrease=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also combine multiple xarray datasets in arithemtic operations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fc7b27eb790>"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 337,
       "width": 389
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = 9.8\n",
    "buoyancy = g * (2e-4 * argo.temperature - 7e-4 * argo.salinity)\n",
    "buoyancy.plot(yincrease=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Broadcasting\n",
    "\n",
    "Broadcasting arrays in numpy is a nightmare. It is much easier when the data axes are labeled!\n",
    "\n",
    "This is a useless calculation, but it illustrates how perfoming an operation on arrays with differenty coordinates will result in automatic broadcasting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
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       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
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       "\n",
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       "\n",
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       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (level: 78, date: 75)&gt;\n",
       "array([[   0.   ,    0.   ,    0.   , ...,    0.   ,    0.   ,    0.   ],\n",
       "       [  47.187,   46.716,   46.45 , ...,   42.601,   42.457,   42.379],\n",
       "       [  94.374,   93.432,   92.9  , ...,   85.202,   84.914,   84.758],\n",
       "       ...,\n",
       "       [3539.025, 3503.7  , 3483.75 , ..., 3195.075, 3184.275, 3178.425],\n",
       "       [3586.212, 3550.416, 3530.2  , ..., 3237.676, 3226.732, 3220.804],\n",
       "       [3633.399, 3597.132, 3576.65 , ..., 3280.277, 3269.189, 3263.183]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "    lon      (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n",
       "    lat      (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>level</span>: 78</li><li><span class='xr-has-index'>date</span>: 75</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5532d3e1-bad4-48b0-986e-2a9c67a4bda3' class='xr-array-in' type='checkbox' checked><label for='section-5532d3e1-bad4-48b0-986e-2a9c67a4bda3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 ... 3.29e+03 3.28e+03 3.269e+03 3.263e+03</span></div><div class='xr-array-data'><pre>array([[   0.   ,    0.   ,    0.   , ...,    0.   ,    0.   ,    0.   ],\n",
       "       [  47.187,   46.716,   46.45 , ...,   42.601,   42.457,   42.379],\n",
       "       [  94.374,   93.432,   92.9  , ...,   85.202,   84.914,   84.758],\n",
       "       ...,\n",
       "       [3539.025, 3503.7  , 3483.75 , ..., 3195.075, 3184.275, 3178.425],\n",
       "       [3586.212, 3550.416, 3530.2  , ..., 3237.676, 3226.732, 3220.804],\n",
       "       [3633.399, 3597.132, 3576.65 , ..., 3280.277, 3269.189, 3263.183]])</pre></div></div></li><li class='xr-section-item'><input id='section-ef38f64a-35b1-4d58-a924-28c629ab5dd8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ef38f64a-35b1-4d58-a924-28c629ab5dd8' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-cae50be4-e74e-4348-953b-5c922e592c69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cae50be4-e74e-4348-953b-5c922e592c69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f142cbf-7682-4945-a55e-e5183a12f3b5' class='xr-var-data-in' type='checkbox'><label for='data-7f142cbf-7682-4945-a55e-e5183a12f3b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-07-13T22:33:06.019200 ... 2...</div><input id='attrs-1f80c6ac-a500-4706-9ae2-16473b7ac10e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f80c6ac-a500-4706-9ae2-16473b7ac10e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd1f23e5-db11-4364-84ee-c3a8a304acdf' class='xr-var-data-in' type='checkbox'><label for='data-fd1f23e5-db11-4364-84ee-c3a8a304acdf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-07-13T22:33:06.019200000&#x27;, &#x27;2012-07-23T22:54:59.990400000&#x27;,\n",
       "       &#x27;2012-08-02T22:55:52.003200000&#x27;, &#x27;2012-08-12T23:08:59.971200000&#x27;,\n",
       "       &#x27;2012-08-22T23:29:01.968000000&#x27;, &#x27;2012-09-01T23:17:38.976000000&#x27;,\n",
       "       &#x27;2012-09-12T02:59:18.960000000&#x27;, &#x27;2012-09-21T23:18:37.036800000&#x27;,\n",
       "       &#x27;2012-10-02T03:00:17.971200000&#x27;, &#x27;2012-10-11T23:13:27.984000000&#x27;,\n",
       "       &#x27;2012-10-22T02:50:32.006400000&#x27;, &#x27;2012-10-31T23:36:39.974400000&#x27;,\n",
       "       &#x27;2012-11-11T02:40:46.041600000&#x27;, &#x27;2012-11-20T23:08:29.990400000&#x27;,\n",
       "       &#x27;2012-12-01T02:47:51.993600000&#x27;, &#x27;2012-12-10T23:23:16.972800000&#x27;,\n",
       "       &#x27;2012-12-21T02:58:48.979200000&#x27;, &#x27;2012-12-30T23:07:23.030400000&#x27;,\n",
       "       &#x27;2013-01-10T02:56:43.008000000&#x27;, &#x27;2013-01-19T23:24:26.956800000&#x27;,\n",
       "       &#x27;2013-01-30T02:43:53.011200000&#x27;, &#x27;2013-02-08T23:15:27.043200000&#x27;,\n",
       "       &#x27;2013-02-19T01:12:50.976000000&#x27;, &#x27;2013-02-28T23:07:13.008000000&#x27;,\n",
       "       &#x27;2013-03-11T02:43:30.979200000&#x27;, &#x27;2013-03-20T23:17:22.992000000&#x27;,\n",
       "       &#x27;2013-03-31T01:50:38.025600000&#x27;, &#x27;2013-04-09T23:19:07.968000000&#x27;,\n",
       "       &#x27;2013-04-20T02:53:29.990400000&#x27;, &#x27;2013-04-29T23:28:33.024000000&#x27;,\n",
       "       &#x27;2013-05-10T02:50:18.009600000&#x27;, &#x27;2013-05-19T23:21:05.990400000&#x27;,\n",
       "       &#x27;2013-05-30T02:50:30.969600000&#x27;, &#x27;2013-06-08T23:32:49.027200000&#x27;,\n",
       "       &#x27;2013-06-19T03:42:51.004800000&#x27;, &#x27;2013-06-28T23:32:16.022400000&#x27;,\n",
       "       &#x27;2013-07-09T03:28:30.979199999&#x27;, &#x27;2013-07-18T23:33:57.974400000&#x27;,\n",
       "       &#x27;2013-07-29T03:15:42.019200000&#x27;, &#x27;2013-08-07T23:25:02.035200000&#x27;,\n",
       "       &#x27;2013-08-18T01:47:44.966400000&#x27;, &#x27;2013-08-28T03:02:59.020800000&#x27;,\n",
       "       &#x27;2013-09-07T03:03:51.984000000&#x27;, &#x27;2013-09-16T23:32:07.987200000&#x27;,\n",
       "       &#x27;2013-09-27T04:08:27.974400000&#x27;, &#x27;2013-10-06T23:25:39.964800000&#x27;,\n",
       "       &#x27;2013-10-17T02:55:50.995200000&#x27;, &#x27;2013-10-27T03:45:47.001600000&#x27;,\n",
       "       &#x27;2013-11-06T01:14:52.022400000&#x27;, &#x27;2013-11-16T03:29:54.009600000&#x27;,\n",
       "       &#x27;2013-11-26T03:03:56.995200000&#x27;, &#x27;2013-12-05T23:33:59.011200000&#x27;,\n",
       "       &#x27;2013-12-16T02:58:01.977600000&#x27;, &#x27;2013-12-25T23:22:43.017600000&#x27;,\n",
       "       &#x27;2014-01-05T02:52:06.009600000&#x27;, &#x27;2014-01-14T23:41:18.009600000&#x27;,\n",
       "       &#x27;2014-01-25T03:00:43.977600000&#x27;, &#x27;2014-02-03T23:29:13.977600000&#x27;,\n",
       "       &#x27;2014-02-14T02:50:11.961600000&#x27;, &#x27;2014-02-23T23:03:21.974400000&#x27;,\n",
       "       &#x27;2014-03-06T02:58:03.964800000&#x27;, &#x27;2014-03-15T23:10:28.012800000&#x27;,\n",
       "       &#x27;2014-03-26T02:51:22.032000000&#x27;, &#x27;2014-04-04T23:25:58.972800000&#x27;,\n",
       "       &#x27;2014-04-15T03:00:45.964800000&#x27;, &#x27;2014-04-24T23:24:40.003200000&#x27;,\n",
       "       &#x27;2014-05-05T02:56:22.012800000&#x27;, &#x27;2014-05-15T00:10:06.009600000&#x27;,\n",
       "       &#x27;2014-05-25T03:02:43.036800000&#x27;, &#x27;2014-06-03T23:34:53.961600000&#x27;,\n",
       "       &#x27;2014-06-14T03:01:23.980800000&#x27;, &#x27;2014-06-23T23:24:31.968000000&#x27;,\n",
       "       &#x27;2014-07-04T03:08:30.019200000&#x27;, &#x27;2014-07-13T23:47:43.008000000&#x27;,\n",
       "       &#x27;2014-07-24T03:02:33.014400000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.13 -37.28 ... -34.11 -34.38</div><input id='attrs-386bc586-d2ec-4afd-bc18-64d593c8ab1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-386bc586-d2ec-4afd-bc18-64d593c8ab1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1ab2692-6637-48b3-98f7-1a4a48fe47bf' class='xr-var-data-in' type='checkbox'><label for='data-d1ab2692-6637-48b3-98f7-1a4a48fe47bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-39.13 , -37.282, -36.9  , -36.89 , -37.053, -36.658, -35.963,\n",
       "       -35.184, -34.462, -33.784, -32.972, -32.546, -32.428, -32.292,\n",
       "       -32.169, -31.998, -31.824, -31.624, -31.433, -31.312, -31.107,\n",
       "       -31.147, -31.044, -31.14 , -31.417, -31.882, -32.145, -32.487,\n",
       "       -32.537, -32.334, -32.042, -31.892, -31.861, -31.991, -31.883,\n",
       "       -31.89 , -31.941, -31.889, -31.724, -31.412, -31.786, -31.561,\n",
       "       -31.732, -31.553, -31.862, -32.389, -32.318, -32.19 , -32.224,\n",
       "       -32.368, -32.306, -32.305, -32.65 , -33.093, -33.263, -33.199,\n",
       "       -33.27 , -33.237, -33.221, -33.011, -32.844, -32.981, -32.784,\n",
       "       -32.607, -32.87 , -33.196, -33.524, -33.956, -33.944, -33.71 ,\n",
       "       -33.621, -33.552, -33.828, -34.11 , -34.38 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.19 46.72 46.45 ... 42.46 42.38</div><input id='attrs-766d902c-cf0b-4d07-a541-c5c3e7ba8f8b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-766d902c-cf0b-4d07-a541-c5c3e7ba8f8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7092eb89-45d1-4e44-8105-eca6db1040fa' class='xr-var-data-in' type='checkbox'><label for='data-7092eb89-45d1-4e44-8105-eca6db1040fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([47.187, 46.716, 46.45 , 46.23 , 45.459, 44.833, 44.452, 44.839,\n",
       "       44.956, 44.676, 44.13 , 43.644, 43.067, 42.662, 42.513, 42.454,\n",
       "       42.396, 42.256, 42.089, 41.944, 41.712, 41.571, 41.596, 41.581,\n",
       "       41.351, 41.032, 40.912, 40.792, 40.495, 40.383, 40.478, 40.672,\n",
       "       41.032, 40.864, 40.651, 40.425, 40.228, 40.197, 40.483, 40.311,\n",
       "       40.457, 40.463, 40.164, 40.047, 39.963, 40.122, 40.57 , 40.476,\n",
       "       40.527, 40.589, 40.749, 40.993, 41.162, 41.237, 41.448, 41.65 ,\n",
       "       42.053, 42.311, 42.096, 41.683, 41.661, 41.676, 42.018, 42.395,\n",
       "       42.532, 42.558, 42.504, 42.63 , 42.934, 42.952, 42.777, 42.722,\n",
       "       42.601, 42.457, 42.379])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-111dce67-401b-4e77-818f-8879230b3d50' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-111dce67-401b-4e77-818f-8879230b3d50' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (level: 78, date: 75)>\n",
       "array([[   0.   ,    0.   ,    0.   , ...,    0.   ,    0.   ,    0.   ],\n",
       "       [  47.187,   46.716,   46.45 , ...,   42.601,   42.457,   42.379],\n",
       "       [  94.374,   93.432,   92.9  , ...,   85.202,   84.914,   84.758],\n",
       "       ...,\n",
       "       [3539.025, 3503.7  , 3483.75 , ..., 3195.075, 3184.275, 3178.425],\n",
       "       [3586.212, 3550.416, 3530.2  , ..., 3237.676, 3226.732, 3220.804],\n",
       "       [3633.399, 3597.132, 3576.65 , ..., 3280.277, 3269.189, 3263.183]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "    lon      (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n",
       "    lat      (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "level_times_lat = argo.level * argo.lat\n",
    "level_times_lat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fc7b27ebdf0>"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 335,
       "width": 378
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "level_times_lat.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reductions\n",
    "\n",
    "Just like in numpy, we can reduce xarray DataArrays along any number of axes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('date',)"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "argo.temperature.mean(axis=0).dims"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('level',)"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "argo.temperature.mean(axis=1).dims"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, rather than performing reductions on axes (as in numpy), we can perform them on dimensions. This turns out to be a huge convenience"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
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       "Dimensions:      (level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "Data variables:\n",
       "    salinity     (level) float64 35.91 35.9 35.9 35.9 ... 34.94 34.94 34.93\n",
       "    temperature  (level) float64 17.6 17.57 17.51 17.42 ... 3.789 3.73 3.662\n",
       "    pressure     (level) float64 6.435 10.57 15.54 ... 1.95e+03 1.999e+03</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e3fb6bc7-83e9-4a22-bbb5-900e2c1a7dbd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e3fb6bc7-83e9-4a22-bbb5-900e2c1a7dbd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>level</span>: 78</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-97e7f9cc-3ac6-4f3d-86aa-7237eccf4682' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97e7f9cc-3ac6-4f3d-86aa-7237eccf4682' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 72 73 74 75 76 77</div><input id='attrs-3bedb324-5b7c-49f1-9255-52a1adc3e4f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3bedb324-5b7c-49f1-9255-52a1adc3e4f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74b9648f-076d-42f7-aae9-f4ac7f074936' class='xr-var-data-in' type='checkbox'><label for='data-74b9648f-076d-42f7-aae9-f4ac7f074936' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c02144bf-3737-4ddb-a9a5-39fbc601f688' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c02144bf-3737-4ddb-a9a5-39fbc601f688' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.91 35.9 35.9 ... 34.94 34.93</div><input id='attrs-303b7ed7-d067-47cf-b770-efc00c3faedd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-303b7ed7-d067-47cf-b770-efc00c3faedd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00011059-3351-478b-abfa-b26a81da02f3' class='xr-var-data-in' type='checkbox'><label for='data-00011059-3351-478b-abfa-b26a81da02f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([35.9063218 , 35.90223138, 35.90313435, 35.90173139, 35.90544583,\n",
       "       35.9100359 , 35.90946015, 35.91343146, 35.91967712, 35.92615988,\n",
       "       35.93195456, 35.94055356, 35.94091596, 35.93905366, 35.93931069,\n",
       "       35.93786745, 35.93525794, 35.93118039, 35.92534328, 35.91652257,\n",
       "       35.90671895, 35.89617843, 35.88888019, 35.8789927 , 35.86946183,\n",
       "       35.8598671 , 35.85061713, 35.84211978, 35.83150467, 35.81969395,\n",
       "       35.80945061, 35.80092265, 35.79078674, 35.77886525, 35.76833627,\n",
       "       35.75838795, 35.74923783, 35.73923559, 35.73000444, 35.71877237,\n",
       "       35.68864513, 35.65607159, 35.62678265, 35.59231774, 35.56205662,\n",
       "       35.45401408, 35.41392634, 35.3810557 , 35.34845245, 35.31531555,\n",
       "       35.28392568, 35.26568334, 35.2389473 , 35.21583745, 35.19686081,\n",
       "       35.18231257, 35.1648436 , 35.15073542, 35.12509338, 35.10155869,\n",
       "       35.08199799, 35.06317012, 35.0490097 , 35.03678253, 35.02174266,\n",
       "       35.01135579, 35.00212936, 34.99386297, 34.98810328, 34.98008094,\n",
       "       34.97214884, 34.96517645, 34.95664983, 34.9507985 , 34.9465696 ,\n",
       "       34.94198907, 34.93844852, 34.93290652])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>17.6 17.57 17.51 ... 3.73 3.662</div><input id='attrs-a14c324e-bfff-4b37-843c-257c2dfa3ad0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a14c324e-bfff-4b37-843c-257c2dfa3ad0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45f9cf9a-a9a1-456e-8087-f08b09afc1fe' class='xr-var-data-in' type='checkbox'><label for='data-45f9cf9a-a9a1-456e-8087-f08b09afc1fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([17.60172602, 17.57223609, 17.5145833 , 17.42326395, 17.24943838,\n",
       "       17.03730134, 16.76787661, 16.44609588, 16.17439195, 16.04501356,\n",
       "       15.65827023, 15.4607296 , 15.26114862, 15.12489191, 14.99133783,\n",
       "       14.90160808, 14.81990544, 14.74535139, 14.66822971, 14.585027  ,\n",
       "       14.49732434, 14.41904053, 14.35412163, 14.27102702, 14.19081082,\n",
       "       14.11487838, 14.04347293, 13.98067566, 13.90994595, 13.83274319,\n",
       "       13.76139196, 13.69836479, 13.62335132, 13.54185131, 13.46647295,\n",
       "       13.39395946, 13.32541891, 13.25205403, 13.18131082, 13.10233782,\n",
       "       12.89268916, 12.67795943, 12.4649189 , 12.2178513 , 11.98270268,\n",
       "       11.1281081 , 10.80430666, 10.49702667, 10.1749066 ,  9.83453334,\n",
       "        9.48625332,  9.19793334,  8.66010666,  8.12324001,  7.60221333,\n",
       "        7.15289333,  6.74250667,  6.39543999,  6.04598667,  5.74538665,\n",
       "        5.48913333,  5.26604001,  5.08768   ,  4.93479998,  4.77769334,\n",
       "        4.65368   ,  4.54237334,  4.44274664,  4.35933333,  4.2653784 ,\n",
       "        4.17290539,  4.08902703,  3.99864865,  3.92163514,  3.85617567,\n",
       "        3.78916217,  3.72950001,  3.66207691])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.435 10.57 ... 1.95e+03 1.999e+03</div><input id='attrs-744a830d-ebd7-42bc-89d7-472e074ba470' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-744a830d-ebd7-42bc-89d7-472e074ba470' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f5e5c04-2c31-4d5b-b830-009a7900adc6' class='xr-var-data-in' type='checkbox'><label for='data-9f5e5c04-2c31-4d5b-b830-009a7900adc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   6.43466671,   10.56891882,   15.54246568,   20.46301361,\n",
       "         25.42567552,   30.44459441,   35.44324375,   40.4391894 ,\n",
       "         45.40810832,   50.37837879,   60.47297323,   70.48378413,\n",
       "         80.40270347,   90.48243311,  100.51216311,  110.46081151,\n",
       "        120.52702795,  130.49459282,  140.51216064,  150.40540376,\n",
       "        160.40810559,  170.36216035,  180.41080949,  190.4108097 ,\n",
       "        200.39999761,  210.34729499,  220.32026858,  230.31351224,\n",
       "        240.28918808,  250.41486297,  260.39999843,  270.36891752,\n",
       "        280.42432136,  290.42297075,  300.4229691 ,  310.46351087,\n",
       "        320.50675346,  330.5297266 ,  340.41891521,  350.49729383,\n",
       "        375.41080867,  400.3797294 ,  425.29864626,  450.38378205,\n",
       "        475.30675403,  550.47703016,  575.68400146,  600.42400716,\n",
       "        625.30800456,  650.34533773,  675.33333984,  700.37067546,\n",
       "        750.42400716,  800.36666992,  850.38534017,  900.4613387 ,\n",
       "        950.45067383, 1000.38534261, 1050.38534668, 1100.45734212,\n",
       "       1150.45201335, 1200.40534505, 1250.25067383, 1300.49467773,\n",
       "       1350.40268392, 1400.41734538, 1450.25734212, 1500.40267253,\n",
       "       1550.46401367, 1600.44055011, 1650.34595056, 1700.42163251,\n",
       "       1750.42299013, 1800.35677358, 1850.33379467, 1900.20676401,\n",
       "       1950.20946771, 1999.28975423])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f29b5385-8b79-479e-bbec-ef1cf5e4f612' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f29b5385-8b79-479e-bbec-ef1cf5e4f612' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "Data variables:\n",
       "    salinity     (level) float64 35.91 35.9 35.9 35.9 ... 34.94 34.94 34.93\n",
       "    temperature  (level) float64 17.6 17.57 17.51 17.42 ... 3.789 3.73 3.662\n",
       "    pressure     (level) float64 6.435 10.57 15.54 ... 1.95e+03 1.999e+03"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "argo_mean = argo.mean(dim='date')\n",
    "argo_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc794b34af0>]"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 316,
       "width": 382
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "argo_mean.salinity.plot(y='level', yincrease=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc7b284c520>]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 316,
       "width": 382
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "argo_std = argo.std(dim='date')\n",
    "argo_std.salinity.plot(y='level', yincrease=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading Data from netCDF Files\n",
    "\n",
    "As we already saw, NetCDF (Network Common Data Format) is the most widely used format for distributing geoscience data. NetCDF is maintained by the [Unidata](https://www.unidata.ucar.edu/) organization.\n",
    "\n",
    "Below we quote from the [NetCDF website](https://www.unidata.ucar.edu/software/netcdf/docs/faq.html#whatisit):\n",
    "\n",
    ">NetCDF (network Common Data Form) is a set of interfaces for array-oriented data access and a freely distributed collection of data access libraries for C, Fortran, C++, Java, and other languages. The netCDF libraries support a machine-independent format for representing scientific data. Together, the interfaces, libraries, and format support the creation, access, and sharing of scientific data.\n",
    ">\n",
    ">NetCDF data is:\n",
    ">\n",
    "> - Self-Describing. A netCDF file includes information about the data it contains.\n",
    "> - Portable. A netCDF file can be accessed by computers with different ways of storing integers, characters, and floating-point numbers.\n",
    "> - Scalable. A small subset of a large dataset may be accessed efficiently.\n",
    "> - Appendable. Data may be appended to a properly structured netCDF file without copying the dataset or redefining its structure.\n",
    "> - Sharable. One writer and multiple readers may simultaneously access the same netCDF file.\n",
    "> - Archivable. Access to all earlier forms of netCDF data will be supported by current and future versions of the software.\n",
    "\n",
    "\n",
    ":::{seealso}\n",
    "Xarray was designed to make reading netCDF files in python as easy, powerful, and flexible as possible. (See [xarray netCDF docs](http://xarray.pydata.org/en/latest/io.html#netcdf) for more details.)\n",
    ":::\n",
    "\n",
    "Below we load one the previous eReefs data from the [AIMS server](http://thredds.ereefs.aims.gov.au/thredds/catalog.html). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
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       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (k: 17, latitude: 723, longitude: 491, time: 31)\n",
       "Coordinates:\n",
       "    zc           (k) float64 -145.0 -120.0 -103.0 -88.0 ... -5.55 -3.0 -1.5 -0.5\n",
       "  * time         (time) datetime64[ns] 2020-02-29T14:00:00 ... 2020-03-30T14:...\n",
       "  * latitude     (latitude) float64 -28.7 -28.67 -28.64 ... -7.096 -7.066 -7.036\n",
       "  * longitude    (longitude) float64 142.2 142.2 142.2 ... 156.8 156.8 156.9\n",
       "Dimensions without coordinates: k\n",
       "Data variables:\n",
       "    mean_cur     (time, k, latitude, longitude) float32 ...\n",
       "    salt         (time, k, latitude, longitude) float32 ...\n",
       "    temp         (time, k, latitude, longitude) float32 ...\n",
       "    u            (time, k, latitude, longitude) float32 ...\n",
       "    v            (time, k, latitude, longitude) float32 ...\n",
       "    mean_wspeed  (time, latitude, longitude) float32 ...\n",
       "    eta          (time, latitude, longitude) float32 ...\n",
       "    wspeed_u     (time, latitude, longitude) float32 ...\n",
       "    wspeed_v     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/19)\n",
       "    Conventions:                     CF-1.0\n",
       "    Run_ID:                          2.1\n",
       "    _CoordSysBuilder:                ucar.nc2.dataset.conv.CF1Convention\n",
       "    aims_ncaggregate_buildDate:      2020-08-21T15:38:56+10:00\n",
       "    aims_ncaggregate_datasetId:      products__ncaggregate__ereefs__gbr4_v2__...\n",
       "    aims_ncaggregate_firstDate:      2020-03-01T00:00:00+10:00\n",
       "    ...                              ...\n",
       "    paramfile:                       in.prm\n",
       "    paramhead:                       GBR 4km resolution grid\n",
       "    technical_guide_link:            https://eatlas.org.au/pydio/public/aims-...\n",
       "    technical_guide_publish_date:    2020-08-18\n",
       "    title:                           eReefs AIMS-CSIRO GBR4 Hydrodynamic v2 d...\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-068250a2-e1ee-4d2d-91ca-ba6944be4a71' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-068250a2-e1ee-4d2d-91ca-ba6944be4a71' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>k</span>: 17</li><li><span class='xr-has-index'>latitude</span>: 723</li><li><span class='xr-has-index'>longitude</span>: 491</li><li><span class='xr-has-index'>time</span>: 31</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-10956f6c-e9af-4b40-b450-2f80c5e44ddd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10956f6c-e9af-4b40-b450-2f80c5e44ddd' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zc</span></div><div class='xr-var-dims'>(k)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f32d26ec-ce62-4ff0-a208-a6873ee01f67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f32d26ec-ce62-4ff0-a208-a6873ee01f67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2705a63-9a01-474a-b725-c382d7eb18fa' class='xr-var-data-in' type='checkbox'><label for='data-b2705a63-9a01-474a-b725-c382d7eb18fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>positive :</span></dt><dd>up</dd><dt><span>coordinate_type :</span></dt><dd>Z</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Z coordinate</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Height</dd><dt><span>_CoordinateZisPositive :</span></dt><dd>up</dd></dl></div><div class='xr-var-data'><pre>array([-145.  , -120.  , -103.  ,  -88.  ,  -73.  ,  -60.  ,  -49.  ,  -39.5 ,\n",
       "        -31.  ,  -23.75,  -17.75,  -12.75,   -8.8 ,   -5.55,   -3.  ,   -1.5 ,\n",
       "         -0.5 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-02-29T14:00:00 ... 2020-03-...</div><input id='attrs-b109a5dd-190d-4f74-976c-af907b0b4829' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b109a5dd-190d-4f74-976c-af907b0b4829' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da7de1a3-bc4b-4470-a970-728294392d90' class='xr-var-data-in' type='checkbox'><label for='data-da7de1a3-bc4b-4470-a970-728294392d90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>coordinate_type :</span></dt><dd>time</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-02-29T14:00:00.000000000&#x27;, &#x27;2020-03-01T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-02T14:00:00.000000000&#x27;, &#x27;2020-03-03T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-04T14:00:00.000000000&#x27;, &#x27;2020-03-05T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-06T14:00:00.000000000&#x27;, &#x27;2020-03-07T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-08T14:00:00.000000000&#x27;, &#x27;2020-03-09T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-10T14:00:00.000000000&#x27;, &#x27;2020-03-11T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-12T14:00:00.000000000&#x27;, &#x27;2020-03-13T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-14T14:00:00.000000000&#x27;, &#x27;2020-03-15T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-16T14:00:00.000000000&#x27;, &#x27;2020-03-17T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-18T14:00:00.000000000&#x27;, &#x27;2020-03-19T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-20T14:00:00.000000000&#x27;, &#x27;2020-03-21T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-22T14:00:00.000000000&#x27;, &#x27;2020-03-23T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-24T14:00:00.000000000&#x27;, &#x27;2020-03-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-26T14:00:00.000000000&#x27;, &#x27;2020-03-27T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-28T14:00:00.000000000&#x27;, &#x27;2020-03-29T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-30T14:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-28.7 -28.67 ... -7.066 -7.036</div><input id='attrs-2cb0f9f1-46ca-4d0e-9af1-83c73f47c18c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cb0f9f1-46ca-4d0e-9af1-83c73f47c18c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-019c9f9f-f8f3-4e3f-9f09-90ab3490a675' class='xr-var-data-in' type='checkbox'><label for='data-019c9f9f-f8f3-4e3f-9f09-90ab3490a675' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>coordinate_type :</span></dt><dd>latitude</dd><dt><span>projection :</span></dt><dd>geographic</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([-28.696022, -28.666022, -28.636022, ...,  -7.096022,  -7.066022,\n",
       "        -7.036022])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>142.2 142.2 142.2 ... 156.8 156.9</div><input id='attrs-a9092793-4401-43b0-acb3-24792eb01411' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9092793-4401-43b0-acb3-24792eb01411' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b102dc0-6422-46f6-b198-7ef9fc1e0938' class='xr-var-data-in' type='checkbox'><label for='data-3b102dc0-6422-46f6-b198-7ef9fc1e0938' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>coordinate_type :</span></dt><dd>longitude</dd><dt><span>projection :</span></dt><dd>geographic</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([142.168788, 142.198788, 142.228788, ..., 156.808788, 156.838788,\n",
       "       156.868788])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-773c677d-171f-4bf0-98cd-2755d0977184' class='xr-section-summary-in' type='checkbox'  checked><label for='section-773c677d-171f-4bf0-98cd-2755d0977184' class='xr-section-summary' >Data variables: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mean_cur</span></div><div class='xr-var-dims'>(time, k, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-974f1b0e-97ac-4af7-874c-8b47b14309c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-974f1b0e-97ac-4af7-874c-8b47b14309c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1efd6e26-7d87-4fab-8b82-e50c5997f18d' class='xr-var-data-in' type='checkbox'><label for='data-1efd6e26-7d87-4fab-8b82-e50c5997f18d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>substanceOrTaxon_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean_current</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#MeterPerSecond</dd><dt><span>short_name :</span></dt><dd>mean_cur</dd><dt><span>aggregation :</span></dt><dd>mean_speed</dd><dt><span>standard_name :</span></dt><dd>mean_current_speed</dd><dt><span>long_name :</span></dt><dd>mean_current_speed</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[187081311 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(time, k, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a6ae40d-918e-4eb2-b1b6-d1f962698ca8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a6ae40d-918e-4eb2-b1b6-d1f962698ca8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98e8f8ce-9802-4f6b-abf7-0496deba7459' class='xr-var-data-in' type='checkbox'><label for='data-98e8f8ce-9802-4f6b-abf7-0496deba7459' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>substanceOrTaxon_id :</span></dt><dd>http://sweet.jpl.nasa.gov/2.2/matrWater.owl#SaltWater</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/practical_salinity</dd><dt><span>short_name :</span></dt><dd>salt</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>PSU</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://environment.data.gov.au/water/quality/def/unit/PSU</dd><dt><span>long_name :</span></dt><dd>Salinity</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[187081311 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time, k, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a1891c7-ae8a-4c03-a172-5a08436a9b24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a1891c7-ae8a-4c03-a172-5a08436a9b24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b65365-f01e-42e1-b152-d41489f23a48' class='xr-var-data-in' type='checkbox'><label for='data-88b65365-f01e-42e1-b152-d41489f23a48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>substanceOrTaxon_id :</span></dt><dd>http://sweet.jpl.nasa.gov/2.2/matrWater.owl#SaltWater</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/sea_water_temperature</dd><dt><span>short_name :</span></dt><dd>temp</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>degrees C</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#DegreeCelsius</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[187081311 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, k, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad21ddad-7e31-4da5-9bd2-5bda175c587d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad21ddad-7e31-4da5-9bd2-5bda175c587d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e7d9958-99be-42c5-a56a-b5aba8e4fcd4' class='xr-var-data-in' type='checkbox'><label for='data-2e7d9958-99be-42c5-a56a-b5aba8e4fcd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>vector_components :</span></dt><dd>u v</dd><dt><span>substanceOrTaxon_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean_current</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/sea_water_velocity_eastward</dd><dt><span>short_name :</span></dt><dd>u</dd><dt><span>vector_name :</span></dt><dd>Currents</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#MeterPerSecond</dd><dt><span>long_name :</span></dt><dd>Eastward current</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[187081311 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, k, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d381917-6453-47d8-8974-bd2c2d8068b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d381917-6453-47d8-8974-bd2c2d8068b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b146c62-a54a-46ee-bc0d-597c7d7576f8' class='xr-var-data-in' type='checkbox'><label for='data-8b146c62-a54a-46ee-bc0d-597c7d7576f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>vector_components :</span></dt><dd>u v</dd><dt><span>substanceOrTaxon_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean_current</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/sea_water_velocity_northward</dd><dt><span>short_name :</span></dt><dd>v</dd><dt><span>vector_name :</span></dt><dd>Currents</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#MeterPerSecond</dd><dt><span>long_name :</span></dt><dd>Northward current</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[187081311 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wspeed</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f63b990-6971-434b-aa4e-dde54f85ace1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f63b990-6971-434b-aa4e-dde54f85ace1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b08eeadd-2642-433c-99ed-0a5a9d8da56d' class='xr-var-data-in' type='checkbox'><label for='data-b08eeadd-2642-433c-99ed-0a5a9d8da56d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>short_name :</span></dt><dd>mean_wspeed</dd><dt><span>aggregation :</span></dt><dd>mean_speed</dd><dt><span>standard_name :</span></dt><dd>mean_wind_speed</dd><dt><span>long_name :</span></dt><dd>mean_wind_speed</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[11004783 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eta</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b841696e-f202-4c15-b9bd-5207912319fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b841696e-f202-4c15-b9bd-5207912319fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fe0aacb-feaf-43ee-a68c-3cc2ebe73ce0' class='xr-var-data-in' type='checkbox'><label for='data-4fe0aacb-feaf-43ee-a68c-3cc2ebe73ce0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>substanceOrTaxon_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean_near_surface</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/sea_surface_elevation</dd><dt><span>short_name :</span></dt><dd>eta</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>metre</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#Meter</dd><dt><span>long_name :</span></dt><dd>Surface elevation</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[11004783 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wspeed_u</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5fa8d329-54bc-4392-8eb3-ecd0efbbc70f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fa8d329-54bc-4392-8eb3-ecd0efbbc70f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd15c5b7-0cae-4978-88b3-72d815af23fc' class='xr-var-data-in' type='checkbox'><label for='data-cd15c5b7-0cae-4978-88b3-72d815af23fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>short_name :</span></dt><dd>wspeed_u</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>long_name :</span></dt><dd>eastward_wind</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[11004783 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wspeed_v</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54e9d0b2-090c-4f39-a631-da58d1c0c432' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54e9d0b2-090c-4f39-a631-da58d1c0c432' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0d36e0d-1b17-42d9-85d9-d70497b059a5' class='xr-var-data-in' type='checkbox'><label for='data-c0d36e0d-1b17-42d9-85d9-d70497b059a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>short_name :</span></dt><dd>wspeed_v</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>long_name :</span></dt><dd>northward_wind</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[11004783 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e73890f-f948-490c-8431-008300592f40' class='xr-section-summary-in' type='checkbox'  ><label for='section-2e73890f-f948-490c-8431-008300592f40' class='xr-section-summary' >Attributes: <span>(19)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>Run_ID :</span></dt><dd>2.1</dd><dt><span>_CoordSysBuilder :</span></dt><dd>ucar.nc2.dataset.conv.CF1Convention</dd><dt><span>aims_ncaggregate_buildDate :</span></dt><dd>2020-08-21T15:38:56+10:00</dd><dt><span>aims_ncaggregate_datasetId :</span></dt><dd>products__ncaggregate__ereefs__gbr4_v2__daily-monthly/EREEFS_AIMS-CSIRO_gbr4_v2_hydro_daily-monthly-2020-03</dd><dt><span>aims_ncaggregate_firstDate :</span></dt><dd>2020-03-01T00:00:00+10:00</dd><dt><span>aims_ncaggregate_inputs :</span></dt><dd>[products__ncaggregate__ereefs__gbr4_v2__raw/EREEFS_AIMS-CSIRO_gbr4_v2_hydro_raw_2020-03::MD5:36889e7fad180571a4a68ccca19c7384]</dd><dt><span>aims_ncaggregate_lastDate :</span></dt><dd>2020-03-31T00:00:00+10:00</dd><dt><span>description :</span></dt><dd>Aggregation of raw hourly input data (from eReefs AIMS-CSIRO GBR4 Hydrodynamic v2 subset) to daily means. Also calculates mean magnitude of wind and ocean current speeds. Data is regridded from curvilinear (per input data) to rectilinear via inverse weighted distance from up to 4 closest cells.</dd><dt><span>ems_version :</span></dt><dd>v1.0 rev(5996)</dd><dt><span>hasVocab :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>2020-08-20T15:04:55+10:00: vendor: AIMS; processing: None summaries\n",
       "2020-08-21T15:38:56+10:00: vendor: AIMS; processing: Daily summaries</dd><dt><span>metadata_link :</span></dt><dd>https://eatlas.org.au/data/uuid/350aed53-ae0f-436e-9866-d34db7f04d2e</dd><dt><span>paramfile :</span></dt><dd>in.prm</dd><dt><span>paramhead :</span></dt><dd>GBR 4km resolution grid</dd><dt><span>technical_guide_link :</span></dt><dd>https://eatlas.org.au/pydio/public/aims-ereefs-platform-technical-guide-to-derived-products-from-csiro-ereefs-models-pdf</dd><dt><span>technical_guide_publish_date :</span></dt><dd>2020-08-18</dd><dt><span>title :</span></dt><dd>eReefs AIMS-CSIRO GBR4 Hydrodynamic v2 daily aggregation</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (k: 17, latitude: 723, longitude: 491, time: 31)\n",
       "Coordinates:\n",
       "    zc           (k) float64 ...\n",
       "  * time         (time) datetime64[ns] 2020-02-29T14:00:00 ... 2020-03-30T14:...\n",
       "  * latitude     (latitude) float64 -28.7 -28.67 -28.64 ... -7.096 -7.066 -7.036\n",
       "  * longitude    (longitude) float64 142.2 142.2 142.2 ... 156.8 156.8 156.9\n",
       "Dimensions without coordinates: k\n",
       "Data variables:\n",
       "    mean_cur     (time, k, latitude, longitude) float32 ...\n",
       "    salt         (time, k, latitude, longitude) float32 ...\n",
       "    temp         (time, k, latitude, longitude) float32 ...\n",
       "    u            (time, k, latitude, longitude) float32 ...\n",
       "    v            (time, k, latitude, longitude) float32 ...\n",
       "    mean_wspeed  (time, latitude, longitude) float32 ...\n",
       "    eta          (time, latitude, longitude) float32 ...\n",
       "    wspeed_u     (time, latitude, longitude) float32 ...\n",
       "    wspeed_v     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/19)\n",
       "    Conventions:                     CF-1.0\n",
       "    Run_ID:                          2.1\n",
       "    _CoordSysBuilder:                ucar.nc2.dataset.conv.CF1Convention\n",
       "    aims_ncaggregate_buildDate:      2020-08-21T15:38:56+10:00\n",
       "    aims_ncaggregate_datasetId:      products__ncaggregate__ereefs__gbr4_v2__...\n",
       "    aims_ncaggregate_firstDate:      2020-03-01T00:00:00+10:00\n",
       "    ...                              ...\n",
       "    paramfile:                       in.prm\n",
       "    paramhead:                       GBR 4km resolution grid\n",
       "    technical_guide_link:            https://eatlas.org.au/pydio/public/aims-...\n",
       "    technical_guide_publish_date:    2020-08-18\n",
       "    title:                           eReefs AIMS-CSIRO GBR4 Hydrodynamic v2 d...\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "month = 3\n",
    "year = 2020\n",
    "netCDF_datestr = str(year)+'-'+format(month, '02')\n",
    "\n",
    "# GBR4 HYDRO\n",
    "inputFile = \"http://thredds.ereefs.aims.gov.au/thredds/dodsC/s3://aims-ereefs-public-prod/derived/ncaggregate/ereefs/gbr4_v2/daily-monthly/EREEFS_AIMS-CSIRO_gbr4_v2_hydro_daily-monthly-\"+netCDF_datestr+\".nc\"\n",
    "\n",
    "ds = xr.open_dataset(inputFile)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fc750cb17f0>"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 332,
       "width": 397
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.temp.isel(time=-1,k=-1).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use `Cartopy`..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.feature_artist.FeatureArtist at 0x7fc742a27460>"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 410,
       "width": 341
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "\n",
    "fig = plt.figure(figsize=[6, 7])\n",
    "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree()) \n",
    "\n",
    "ds.temp.isel(time=-1,k=-1).plot( \n",
    "    transform=ccrs.PlateCarree()\n",
    ")\n",
    "\n",
    "ax.coastlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_slice = ds.sel(time=slice('2020-03-01', '2020-03-14'),k=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (latitude: 723, longitude: 491, time: 14)\n",
       "Coordinates:\n",
       "    zc           float64 -0.5\n",
       "  * time         (time) datetime64[ns] 2020-03-01T14:00:00 ... 2020-03-14T14:...\n",
       "  * latitude     (latitude) float64 -28.7 -28.67 -28.64 ... -7.096 -7.066 -7.036\n",
       "  * longitude    (longitude) float64 142.2 142.2 142.2 ... 156.8 156.8 156.9\n",
       "Data variables:\n",
       "    mean_cur     (time, latitude, longitude) float32 ...\n",
       "    salt         (time, latitude, longitude) float32 ...\n",
       "    temp         (time, latitude, longitude) float32 ...\n",
       "    u            (time, latitude, longitude) float32 ...\n",
       "    v            (time, latitude, longitude) float32 ...\n",
       "    mean_wspeed  (time, latitude, longitude) float32 ...\n",
       "    eta          (time, latitude, longitude) float32 ...\n",
       "    wspeed_u     (time, latitude, longitude) float32 ...\n",
       "    wspeed_v     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/19)\n",
       "    Conventions:                     CF-1.0\n",
       "    Run_ID:                          2.1\n",
       "    _CoordSysBuilder:                ucar.nc2.dataset.conv.CF1Convention\n",
       "    aims_ncaggregate_buildDate:      2020-08-21T15:38:56+10:00\n",
       "    aims_ncaggregate_datasetId:      products__ncaggregate__ereefs__gbr4_v2__...\n",
       "    aims_ncaggregate_firstDate:      2020-03-01T00:00:00+10:00\n",
       "    ...                              ...\n",
       "    paramfile:                       in.prm\n",
       "    paramhead:                       GBR 4km resolution grid\n",
       "    technical_guide_link:            https://eatlas.org.au/pydio/public/aims-...\n",
       "    technical_guide_publish_date:    2020-08-18\n",
       "    title:                           eReefs AIMS-CSIRO GBR4 Hydrodynamic v2 d...\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bb9e7737-220e-460d-8226-ca108504700b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bb9e7737-220e-460d-8226-ca108504700b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 723</li><li><span class='xr-has-index'>longitude</span>: 491</li><li><span class='xr-has-index'>time</span>: 14</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-93b4f7b2-e775-472f-be8b-e57ae5fb0b3d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93b4f7b2-e775-472f-be8b-e57ae5fb0b3d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.5</div><input id='attrs-20252020-36a7-4c70-bff7-9b15b80efdf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20252020-36a7-4c70-bff7-9b15b80efdf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-001c527c-d968-41d8-8ba2-82438c35f16f' class='xr-var-data-in' type='checkbox'><label for='data-001c527c-d968-41d8-8ba2-82438c35f16f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>positive :</span></dt><dd>up</dd><dt><span>coordinate_type :</span></dt><dd>Z</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Z coordinate</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Height</dd><dt><span>_CoordinateZisPositive :</span></dt><dd>up</dd></dl></div><div class='xr-var-data'><pre>array(-0.5)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-03-01T14:00:00 ... 2020-03-...</div><input id='attrs-e1d217ee-733f-4379-bcb0-d9cb60e5b47b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1d217ee-733f-4379-bcb0-d9cb60e5b47b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66b0ef85-950e-4ae4-8073-75c648676021' class='xr-var-data-in' type='checkbox'><label for='data-66b0ef85-950e-4ae4-8073-75c648676021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>coordinate_type :</span></dt><dd>time</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-03-01T14:00:00.000000000&#x27;, &#x27;2020-03-02T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-03T14:00:00.000000000&#x27;, &#x27;2020-03-04T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-05T14:00:00.000000000&#x27;, &#x27;2020-03-06T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-07T14:00:00.000000000&#x27;, &#x27;2020-03-08T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-09T14:00:00.000000000&#x27;, &#x27;2020-03-10T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-11T14:00:00.000000000&#x27;, &#x27;2020-03-12T14:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-13T14:00:00.000000000&#x27;, &#x27;2020-03-14T14:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-28.7 -28.67 ... -7.066 -7.036</div><input id='attrs-a7ab246d-57a8-4214-bc9d-26446e4fcfc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7ab246d-57a8-4214-bc9d-26446e4fcfc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eab34c22-f0ac-429a-902e-6b562a0a2c34' class='xr-var-data-in' type='checkbox'><label for='data-eab34c22-f0ac-429a-902e-6b562a0a2c34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>coordinate_type :</span></dt><dd>latitude</dd><dt><span>projection :</span></dt><dd>geographic</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([-28.696022, -28.666022, -28.636022, ...,  -7.096022,  -7.066022,\n",
       "        -7.036022])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>142.2 142.2 142.2 ... 156.8 156.9</div><input id='attrs-89fd9d16-39d6-4157-bc49-0d97fc29c38f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89fd9d16-39d6-4157-bc49-0d97fc29c38f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f85c7f62-18c4-483a-b5fa-928960530172' class='xr-var-data-in' type='checkbox'><label for='data-f85c7f62-18c4-483a-b5fa-928960530172' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>coordinate_type :</span></dt><dd>longitude</dd><dt><span>projection :</span></dt><dd>geographic</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([142.168788, 142.198788, 142.228788, ..., 156.808788, 156.838788,\n",
       "       156.868788])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dfc4a08a-7175-463c-b1d7-13bef02a7ec3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dfc4a08a-7175-463c-b1d7-13bef02a7ec3' class='xr-section-summary' >Data variables: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mean_cur</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-870b2065-6e22-4576-b5f2-188fc25a438e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-870b2065-6e22-4576-b5f2-188fc25a438e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc03999b-b897-4f3d-a64b-93e91d2fef51' class='xr-var-data-in' type='checkbox'><label for='data-bc03999b-b897-4f3d-a64b-93e91d2fef51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>substanceOrTaxon_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean_current</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#MeterPerSecond</dd><dt><span>short_name :</span></dt><dd>mean_cur</dd><dt><span>aggregation :</span></dt><dd>mean_speed</dd><dt><span>standard_name :</span></dt><dd>mean_current_speed</dd><dt><span>long_name :</span></dt><dd>mean_current_speed</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[4969902 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b72f0da-e8d4-406b-a10e-dab096661d9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b72f0da-e8d4-406b-a10e-dab096661d9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fba9c903-b960-4e37-baca-aedb7ea6ceb1' class='xr-var-data-in' type='checkbox'><label for='data-fba9c903-b960-4e37-baca-aedb7ea6ceb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>substanceOrTaxon_id :</span></dt><dd>http://sweet.jpl.nasa.gov/2.2/matrWater.owl#SaltWater</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/practical_salinity</dd><dt><span>short_name :</span></dt><dd>salt</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>PSU</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://environment.data.gov.au/water/quality/def/unit/PSU</dd><dt><span>long_name :</span></dt><dd>Salinity</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[4969902 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b3e62ff-62d4-4610-9e93-bcd8c8e73718' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b3e62ff-62d4-4610-9e93-bcd8c8e73718' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea18005c-eeb1-4026-a59a-0e7c7eb5d4ac' class='xr-var-data-in' type='checkbox'><label for='data-ea18005c-eeb1-4026-a59a-0e7c7eb5d4ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>substanceOrTaxon_id :</span></dt><dd>http://sweet.jpl.nasa.gov/2.2/matrWater.owl#SaltWater</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/sea_water_temperature</dd><dt><span>short_name :</span></dt><dd>temp</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>degrees C</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#DegreeCelsius</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[4969902 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9696b287-c12e-419f-a776-3f21d2226674' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9696b287-c12e-419f-a776-3f21d2226674' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b72a207-8d6e-4e58-8eff-948d45c9c252' class='xr-var-data-in' type='checkbox'><label for='data-4b72a207-8d6e-4e58-8eff-948d45c9c252' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>vector_components :</span></dt><dd>u v</dd><dt><span>substanceOrTaxon_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean_current</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/sea_water_velocity_eastward</dd><dt><span>short_name :</span></dt><dd>u</dd><dt><span>vector_name :</span></dt><dd>Currents</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#MeterPerSecond</dd><dt><span>long_name :</span></dt><dd>Eastward current</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[4969902 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d62d2b2-ddbf-42e5-9477-23573e6099a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d62d2b2-ddbf-42e5-9477-23573e6099a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e5e2518-5f51-46c4-ab79-30b02427bf62' class='xr-var-data-in' type='checkbox'><label for='data-3e5e2518-5f51-46c4-ab79-30b02427bf62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>vector_components :</span></dt><dd>u v</dd><dt><span>substanceOrTaxon_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean_current</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/sea_water_velocity_northward</dd><dt><span>short_name :</span></dt><dd>v</dd><dt><span>vector_name :</span></dt><dd>Currents</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#MeterPerSecond</dd><dt><span>long_name :</span></dt><dd>Northward current</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1   1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[4969902 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wspeed</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-17e86737-7376-4159-b0a0-c693ae242d31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17e86737-7376-4159-b0a0-c693ae242d31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4427777e-fb16-4a1d-9bd3-4b38f7a89402' class='xr-var-data-in' type='checkbox'><label for='data-4427777e-fb16-4a1d-9bd3-4b38f7a89402' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>short_name :</span></dt><dd>mean_wspeed</dd><dt><span>aggregation :</span></dt><dd>mean_speed</dd><dt><span>standard_name :</span></dt><dd>mean_wind_speed</dd><dt><span>long_name :</span></dt><dd>mean_wind_speed</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[4969902 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eta</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca6432e6-f118-4e27-b6d3-63e18c2e1047' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca6432e6-f118-4e27-b6d3-63e18c2e1047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a0eed2c-945d-4f4a-ba24-cc3867f19c91' class='xr-var-data-in' type='checkbox'><label for='data-3a0eed2c-945d-4f4a-ba24-cc3867f19c91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>substanceOrTaxon_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean_near_surface</dd><dt><span>scaledQuantityKind_id :</span></dt><dd>http://environment.data.gov.au/def/property/sea_surface_elevation</dd><dt><span>short_name :</span></dt><dd>eta</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>metre</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>medium_id :</span></dt><dd>http://environment.data.gov.au/def/feature/ocean</dd><dt><span>unit_id :</span></dt><dd>http://qudt.org/vocab/unit#Meter</dd><dt><span>long_name :</span></dt><dd>Surface elevation</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[4969902 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wspeed_u</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f12dfbf6-2ead-4eae-90ca-296ab885128a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f12dfbf6-2ead-4eae-90ca-296ab885128a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f28ecc6-e6bf-4d62-9958-29d8b1f55f40' class='xr-var-data-in' type='checkbox'><label for='data-8f28ecc6-e6bf-4d62-9958-29d8b1f55f40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>short_name :</span></dt><dd>wspeed_u</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>long_name :</span></dt><dd>eastward_wind</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[4969902 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wspeed_v</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fcab32a1-fc0e-40c4-8f94-f8af526727d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcab32a1-fc0e-40c4-8f94-f8af526727d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b934792a-dbc1-491f-99cd-ac72d4d2c72f' class='xr-var-data-in' type='checkbox'><label for='data-b934792a-dbc1-491f-99cd-ac72d4d2c72f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>short_name :</span></dt><dd>wspeed_v</dd><dt><span>aggregation :</span></dt><dd>Daily</dd><dt><span>units :</span></dt><dd>ms-1</dd><dt><span>long_name :</span></dt><dd>northward_wind</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 133 491]</dd></dl></div><div class='xr-var-data'><pre>[4969902 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d067df5a-9a9d-49d9-96d6-313865bc8f18' class='xr-section-summary-in' type='checkbox'  ><label for='section-d067df5a-9a9d-49d9-96d6-313865bc8f18' class='xr-section-summary' >Attributes: <span>(19)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>Run_ID :</span></dt><dd>2.1</dd><dt><span>_CoordSysBuilder :</span></dt><dd>ucar.nc2.dataset.conv.CF1Convention</dd><dt><span>aims_ncaggregate_buildDate :</span></dt><dd>2020-08-21T15:38:56+10:00</dd><dt><span>aims_ncaggregate_datasetId :</span></dt><dd>products__ncaggregate__ereefs__gbr4_v2__daily-monthly/EREEFS_AIMS-CSIRO_gbr4_v2_hydro_daily-monthly-2020-03</dd><dt><span>aims_ncaggregate_firstDate :</span></dt><dd>2020-03-01T00:00:00+10:00</dd><dt><span>aims_ncaggregate_inputs :</span></dt><dd>[products__ncaggregate__ereefs__gbr4_v2__raw/EREEFS_AIMS-CSIRO_gbr4_v2_hydro_raw_2020-03::MD5:36889e7fad180571a4a68ccca19c7384]</dd><dt><span>aims_ncaggregate_lastDate :</span></dt><dd>2020-03-31T00:00:00+10:00</dd><dt><span>description :</span></dt><dd>Aggregation of raw hourly input data (from eReefs AIMS-CSIRO GBR4 Hydrodynamic v2 subset) to daily means. Also calculates mean magnitude of wind and ocean current speeds. Data is regridded from curvilinear (per input data) to rectilinear via inverse weighted distance from up to 4 closest cells.</dd><dt><span>ems_version :</span></dt><dd>v1.0 rev(5996)</dd><dt><span>hasVocab :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>2020-08-20T15:04:55+10:00: vendor: AIMS; processing: None summaries\n",
       "2020-08-21T15:38:56+10:00: vendor: AIMS; processing: Daily summaries</dd><dt><span>metadata_link :</span></dt><dd>https://eatlas.org.au/data/uuid/350aed53-ae0f-436e-9866-d34db7f04d2e</dd><dt><span>paramfile :</span></dt><dd>in.prm</dd><dt><span>paramhead :</span></dt><dd>GBR 4km resolution grid</dd><dt><span>technical_guide_link :</span></dt><dd>https://eatlas.org.au/pydio/public/aims-ereefs-platform-technical-guide-to-derived-products-from-csiro-ereefs-models-pdf</dd><dt><span>technical_guide_publish_date :</span></dt><dd>2020-08-18</dd><dt><span>title :</span></dt><dd>eReefs AIMS-CSIRO GBR4 Hydrodynamic v2 daily aggregation</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (latitude: 723, longitude: 491, time: 14)\n",
       "Coordinates:\n",
       "    zc           float64 -0.5\n",
       "  * time         (time) datetime64[ns] 2020-03-01T14:00:00 ... 2020-03-14T14:...\n",
       "  * latitude     (latitude) float64 -28.7 -28.67 -28.64 ... -7.096 -7.066 -7.036\n",
       "  * longitude    (longitude) float64 142.2 142.2 142.2 ... 156.8 156.8 156.9\n",
       "Data variables:\n",
       "    mean_cur     (time, latitude, longitude) float32 ...\n",
       "    salt         (time, latitude, longitude) float32 ...\n",
       "    temp         (time, latitude, longitude) float32 ...\n",
       "    u            (time, latitude, longitude) float32 ...\n",
       "    v            (time, latitude, longitude) float32 ...\n",
       "    mean_wspeed  (time, latitude, longitude) float32 ...\n",
       "    eta          (time, latitude, longitude) float32 ...\n",
       "    wspeed_u     (time, latitude, longitude) float32 ...\n",
       "    wspeed_v     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/19)\n",
       "    Conventions:                     CF-1.0\n",
       "    Run_ID:                          2.1\n",
       "    _CoordSysBuilder:                ucar.nc2.dataset.conv.CF1Convention\n",
       "    aims_ncaggregate_buildDate:      2020-08-21T15:38:56+10:00\n",
       "    aims_ncaggregate_datasetId:      products__ncaggregate__ereefs__gbr4_v2__...\n",
       "    aims_ncaggregate_firstDate:      2020-03-01T00:00:00+10:00\n",
       "    ...                              ...\n",
       "    paramfile:                       in.prm\n",
       "    paramhead:                       GBR 4km resolution grid\n",
       "    technical_guide_link:            https://eatlas.org.au/pydio/public/aims-...\n",
       "    technical_guide_publish_date:    2020-08-18\n",
       "    title:                           eReefs AIMS-CSIRO GBR4 Hydrodynamic v2 d...\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_slice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc7b3b86610>]"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 359,
       "width": 402
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_slice.temp.mean(dim=('longitude', 'latitude')).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}