diff --git a/notebooks/tutorial/MultipleSources.ipynb b/notebooks/tutorial/MultipleSources.ipynb
index 35c6f13e..a144e235 100644
--- a/notebooks/tutorial/MultipleSources.ipynb
+++ b/notebooks/tutorial/MultipleSources.ipynb
@@ -6,7 +6,20 @@
    "metadata": {},
    "source": [
     "# Blending Data from Multiple Sources\n",
-    "\n"
+    "\n",
+    "This is an example showing how to process data from three data sources. We will be showing how to work with two similar data sets that can be merged, and how to deal with a source that can't be easily merged.\n",
+    "\n",
+    "The first of the two \"mergeable\" datasets is the surface global irradiance from the Himawari satellite. This data is masked over the ocean away from the coast, and it also has a slightly different grid spacing to the ACCESS model data. \n",
+    "\n",
+    "The second of the two \"mergable\" datasets is the ACCESS model data, from which we will extract the mean sea level pressure. This is a generally compatible region (lat/lon bounding box), but has a slightly different grid spacing.\n",
+    "\n",
+    "The third data set is radar data from one radar in the Australian region. It only has X and Y coordinates, so it's not straightforward to create a simple merged data sets.\n",
+    "\n",
+    "In all these examples, a simple linear interpolation is used for merging datasets. More complex merge operations are possible.\n",
+    "\n",
+    "## Himawari Data\n",
+    "\n",
+    "The tutorial will first introduce a single data set. Datasets can be merged using a pre-defined grid (such as a Mercator projection with a specified grid spacing), or, and this is often simplest, one of the datasets can be used to define the target grid structure without needing a formal specification of it. Let's examine the Himawari data now."
    ]
   },
   {
@@ -16,13 +29,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pyearthtools.data\n",
-    "import tempfile\n",
-    "\n",
-    "import warnings\n",
+    "%%capture\n",
     "\n",
-    "with warnings.catch_warnings(action=\"ignore\"):\n",
-    "    import site_archive_nci"
+    "import pyearthtools.data as petdata\n",
+    "import pyearthtools.pipeline as petpipe\n",
+    "import tempfile\n",
+    "import site_archive_nci"
    ]
   },
   {
@@ -32,40 +44,39 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "doi = '2021-01-01T0100'\n",
-    "var = '2t'\n",
-    "bounding_box = pyearthtools.data.transform.region.Bounding(-50, -10, 110, 155)  "
+    "# We specify the date, hour, and minute for querying data\n",
+    "doi = '2021-06-09T0600'  "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "2f19a69a-b000-478b-81db-3ecc6e49d31c",
    "metadata": {},
    "outputs": [],
    "source": [
-    "source1 = pyearthtools.data.archive.Himawari('surface_global_irradiance')"
+    "himawari = petdata.archive.Himawari('surface_global_irradiance')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "id": "2101bdc4-2b72-47e0-b2e1-20e44e1c2982",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x1520471cad90>"
+       "<matplotlib.collections.QuadMesh at 0x1498ee8b4910>"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -75,15 +86,4661 @@
     }
    ],
    "source": [
-    "source1[doi].surface_global_irradiance.plot()"
+    "sample_sgi = himawari[doi].surface_global_irradiance\n",
+    "sample_sgi.plot()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "0cd2dc1c-789e-4a5d-8cac-02f95a0b4de7",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# Uncomment the line below to see the data structure\n",
+    "# sample_sgi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "605c15ce-be38-443d-924d-278bcbee6c6b",
+   "metadata": {},
+   "source": [
+    "## ACCESS Model Data\n",
+    "\n",
+    "Here we see how to access a single sample of ACCESS model data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "89675254-552b-49d7-8ab9-3ca1f2164cba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We want the ACCESS data trimmed to the same bounding box as the Himawari data.\n",
+    "# The ACCESS data is global, but we only want the Australian region\n",
+    "like_himawari = petdata.transform.region.like(sample_sgi) \n",
+    "access_g = petdata.archive.ACCESS( variables='sfc/mslp', datatype='an', region='g',transforms=like_himawari)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b3db21cb-61b3-4734-a2cb-9887b04c6bcb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "sample_mslp = access_g[doi].mslp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "4300b764-f8cd-46c1-b9dc-6fe1b63e0bab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x1498de0b2b10>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sample_mslp.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb3d0e1a-9ad8-415c-877f-d7cdf241ba68",
+   "metadata": {},
+   "source": [
+    "# Radar Data\n",
+    "\n",
+    "The radar data sample comes from just a single radar, and its geospatial data is not known. We can retrieve samples by date, but it's not easy to geolocate them. Let's examine some data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "909815aa-6008-40bf-8e11-1e0d37f42115",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "radar = petdata.archive.RadarDemo(variables='RAIN')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "5922d93c-86fd-436f-a988-7e225c6518a9",
+   "metadata": {},
+   "outputs": [
+    {
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+       "\n",
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+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
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+       "}\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",
+       ".xr-no-icon {\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; Size: 68kB\n",
+       "Dimensions:                     (y: 128, x: 128)\n",
+       "Coordinates:\n",
+       "  * x                           (x) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "  * y                           (y) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "    ProjectionCoordinateSystem  int32 4B ...\n",
+       "    projection                  int32 4B ...\n",
+       "Data variables:\n",
+       "    RAIN                        (y, x) float32 66kB dask.array&lt;chunksize=(128, 128), meta=np.ndarray&gt;\n",
+       "Attributes: (12/13)\n",
+       "    radar_name:          \n",
+       "    nradar:              1\n",
+       "    Conventions:         CF/Radial instrument_parameters\n",
+       "    version:             H5rad 2.2\n",
+       "    title:               \n",
+       "    institution:         \n",
+       "    ...                  ...\n",
+       "    source:              RAD:AU71,PLC:T/Hills,CTY:500,STN:66210\n",
+       "    history:             \n",
+       "    comment:             \n",
+       "    instrument_name:     \n",
+       "    original_container:  odim_h5\n",
+       "    odim_conventions:    ODIM_H5/V2_2</pre><div class='xr-wrap' style='display:none'><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-18fddfa4-765b-4ccd-ae40-e1112eefc878' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-18fddfa4-765b-4ccd-ae40-e1112eefc878' 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'>y</span>: 128</li><li><span class='xr-has-index'>x</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5f137d0b-ebe5-4ffa-99e0-04af22114771' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f137d0b-ebe5-4ffa-99e0-04af22114771' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.27e+05 -1.25e+05 ... 1.27e+05</div><input id='attrs-197d4509-3096-43b6-a845-e52d2fdd7235' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-197d4509-3096-43b6-a845-e52d2fdd7235' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f9b2453-0d35-48cb-bf14-4486372d4b39' class='xr-var-data-in' type='checkbox'><label for='data-6f9b2453-0d35-48cb-bf14-4486372d4b39' 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([-127000., -125000., -123000., -121000., -119000., -117000., -115000.,\n",
+       "       -113000., -111000., -109000., -107000., -105000., -103000., -101000.,\n",
+       "        -99000.,  -97000.,  -95000.,  -93000.,  -91000.,  -89000.,  -87000.,\n",
+       "        -85000.,  -83000.,  -81000.,  -79000.,  -77000.,  -75000.,  -73000.,\n",
+       "        -71000.,  -69000.,  -67000.,  -65000.,  -63000.,  -61000.,  -59000.,\n",
+       "        -57000.,  -55000.,  -53000.,  -51000.,  -49000.,  -47000.,  -45000.,\n",
+       "        -43000.,  -41000.,  -39000.,  -37000.,  -35000.,  -33000.,  -31000.,\n",
+       "        -29000.,  -27000.,  -25000.,  -23000.,  -21000.,  -19000.,  -17000.,\n",
+       "        -15000.,  -13000.,  -11000.,   -9000.,   -7000.,   -5000.,   -3000.,\n",
+       "         -1000.,    1000.,    3000.,    5000.,    7000.,    9000.,   11000.,\n",
+       "         13000.,   15000.,   17000.,   19000.,   21000.,   23000.,   25000.,\n",
+       "         27000.,   29000.,   31000.,   33000.,   35000.,   37000.,   39000.,\n",
+       "         41000.,   43000.,   45000.,   47000.,   49000.,   51000.,   53000.,\n",
+       "         55000.,   57000.,   59000.,   61000.,   63000.,   65000.,   67000.,\n",
+       "         69000.,   71000.,   73000.,   75000.,   77000.,   79000.,   81000.,\n",
+       "         83000.,   85000.,   87000.,   89000.,   91000.,   93000.,   95000.,\n",
+       "         97000.,   99000.,  101000.,  103000.,  105000.,  107000.,  109000.,\n",
+       "        111000.,  113000.,  115000.,  117000.,  119000.,  121000.,  123000.,\n",
+       "        125000.,  127000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.27e+05 -1.25e+05 ... 1.27e+05</div><input id='attrs-fa852e91-5b32-480b-8d35-e29fe75a1848' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa852e91-5b32-480b-8d35-e29fe75a1848' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c0559f8-bf4f-4eae-8038-cbef408058f5' class='xr-var-data-in' type='checkbox'><label for='data-5c0559f8-bf4f-4eae-8038-cbef408058f5' 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([-127000., -125000., -123000., -121000., -119000., -117000., -115000.,\n",
+       "       -113000., -111000., -109000., -107000., -105000., -103000., -101000.,\n",
+       "        -99000.,  -97000.,  -95000.,  -93000.,  -91000.,  -89000.,  -87000.,\n",
+       "        -85000.,  -83000.,  -81000.,  -79000.,  -77000.,  -75000.,  -73000.,\n",
+       "        -71000.,  -69000.,  -67000.,  -65000.,  -63000.,  -61000.,  -59000.,\n",
+       "        -57000.,  -55000.,  -53000.,  -51000.,  -49000.,  -47000.,  -45000.,\n",
+       "        -43000.,  -41000.,  -39000.,  -37000.,  -35000.,  -33000.,  -31000.,\n",
+       "        -29000.,  -27000.,  -25000.,  -23000.,  -21000.,  -19000.,  -17000.,\n",
+       "        -15000.,  -13000.,  -11000.,   -9000.,   -7000.,   -5000.,   -3000.,\n",
+       "         -1000.,    1000.,    3000.,    5000.,    7000.,    9000.,   11000.,\n",
+       "         13000.,   15000.,   17000.,   19000.,   21000.,   23000.,   25000.,\n",
+       "         27000.,   29000.,   31000.,   33000.,   35000.,   37000.,   39000.,\n",
+       "         41000.,   43000.,   45000.,   47000.,   49000.,   51000.,   53000.,\n",
+       "         55000.,   57000.,   59000.,   61000.,   63000.,   65000.,   67000.,\n",
+       "         69000.,   71000.,   73000.,   75000.,   77000.,   79000.,   81000.,\n",
+       "         83000.,   85000.,   87000.,   89000.,   91000.,   93000.,   95000.,\n",
+       "         97000.,   99000.,  101000.,  103000.,  105000.,  107000.,  109000.,\n",
+       "        111000.,  113000.,  115000.,  117000.,  119000.,  121000.,  123000.,\n",
+       "        125000.,  127000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ProjectionCoordinateSystem</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-acda7f75-741e-4d30-b9f1-a5bf31ef176a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acda7f75-741e-4d30-b9f1-a5bf31ef176a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9764b46-73d1-4263-87c2-c23a55d8d97e' class='xr-var-data-in' type='checkbox'><label for='data-c9764b46-73d1-4263-87c2-c23a55d8d97e' 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>latitude_of_projection_origin :</span></dt><dd>-33.700801849365234</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>151.20899963378906</dd><dt><span>_CoordinateTransformType :</span></dt><dd>Projection</dd><dt><span>_CoordinateAxes :</span></dt><dd>x y z time</dd><dt><span>_CoordinateAxesTypes :</span></dt><dd>GeoX GeoY Height Time</dd><dt><span>grid_mapping_name :</span></dt><dd>azimuthal_equidistant</dd><dt><span>semi_major_axis :</span></dt><dd>6370997.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.25</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a26524ac-445e-41fa-84b8-a3a56f5000a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a26524ac-445e-41fa-84b8-a3a56f5000a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a83bc10-8d22-4c70-b4be-14c4b495dacf' class='xr-var-data-in' type='checkbox'><label for='data-7a83bc10-8d22-4c70-b4be-14c4b495dacf' 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>proj :</span></dt><dd>pyart_aeqd</dd><dt><span>_include_lon_0_lat_0 :</span></dt><dd>true</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64405dad-ca83-43c9-b6f2-c24e9abfb879' class='xr-section-summary-in' type='checkbox'  checked><label for='section-64405dad-ca83-43c9-b6f2-c24e9abfb879' class='xr-section-summary' >Data variables: <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>RAIN</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(128, 128), meta=np.ndarray&gt;</div><input id='attrs-bdeeafa2-7776-4e04-b360-afa541d95169' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdeeafa2-7776-4e04-b360-afa541d95169' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35aeb1af-6f83-4586-a39b-7107cfb43d9d' class='xr-var-data-in' type='checkbox'><label for='data-35aeb1af-6f83-4586-a39b-7107cfb43d9d' 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>rain_rate</dd><dt><span>long_name :</span></dt><dd>Radar estimated rain rate</dd><dt><span>grid_mapping :</span></dt><dd>proj</dd><dt><span>units :</span></dt><dd>mm h-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 64.00 kiB </td>\n",
+       "                        <td> 64.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (128, 128) </td>\n",
+       "                        <td> (128, 128) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >128</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">128</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-593102f0-f44c-4412-a426-ca58b3bd04b7' class='xr-section-summary-in' type='checkbox'  ><label for='section-593102f0-f44c-4412-a426-ca58b3bd04b7' class='xr-section-summary' >Indexes: <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-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-019fdac0-6991-4ceb-8d73-d7d601b21565' class='xr-index-data-in' type='checkbox'/><label for='index-019fdac0-6991-4ceb-8d73-d7d601b21565' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-127000.0, -125000.0, -123000.0, -121000.0, -119000.0, -117000.0,\n",
+       "       -115000.0, -113000.0, -111000.0, -109000.0,\n",
+       "       ...\n",
+       "        109000.0,  111000.0,  113000.0,  115000.0,  117000.0,  119000.0,\n",
+       "        121000.0,  123000.0,  125000.0,  127000.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=128))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4fe13c78-730b-4996-bf43-6315265932e0' class='xr-index-data-in' type='checkbox'/><label for='index-4fe13c78-730b-4996-bf43-6315265932e0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-127000.0, -125000.0, -123000.0, -121000.0, -119000.0, -117000.0,\n",
+       "       -115000.0, -113000.0, -111000.0, -109000.0,\n",
+       "       ...\n",
+       "        109000.0,  111000.0,  113000.0,  115000.0,  117000.0,  119000.0,\n",
+       "        121000.0,  123000.0,  125000.0,  127000.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=128))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-746eb031-3159-4554-934c-222a8f8151de' class='xr-section-summary-in' type='checkbox'  ><label for='section-746eb031-3159-4554-934c-222a8f8151de' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>radar_name :</span></dt><dd></dd><dt><span>nradar :</span></dt><dd>1</dd><dt><span>Conventions :</span></dt><dd>CF/Radial instrument_parameters</dd><dt><span>version :</span></dt><dd>H5rad 2.2</dd><dt><span>title :</span></dt><dd></dd><dt><span>institution :</span></dt><dd></dd><dt><span>references :</span></dt><dd></dd><dt><span>source :</span></dt><dd>RAD:AU71,PLC:T/Hills,CTY:500,STN:66210</dd><dt><span>history :</span></dt><dd></dd><dt><span>comment :</span></dt><dd></dd><dt><span>instrument_name :</span></dt><dd></dd><dt><span>original_container :</span></dt><dd>odim_h5</dd><dt><span>odim_conventions :</span></dt><dd>ODIM_H5/V2_2</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 68kB\n",
+       "Dimensions:                     (y: 128, x: 128)\n",
+       "Coordinates:\n",
+       "  * x                           (x) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "  * y                           (y) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "    ProjectionCoordinateSystem  int32 4B ...\n",
+       "    projection                  int32 4B ...\n",
+       "Data variables:\n",
+       "    RAIN                        (y, x) float32 66kB dask.array<chunksize=(128, 128), meta=np.ndarray>\n",
+       "Attributes: (12/13)\n",
+       "    radar_name:          \n",
+       "    nradar:              1\n",
+       "    Conventions:         CF/Radial instrument_parameters\n",
+       "    version:             H5rad 2.2\n",
+       "    title:               \n",
+       "    institution:         \n",
+       "    ...                  ...\n",
+       "    source:              RAD:AU71,PLC:T/Hills,CTY:500,STN:66210\n",
+       "    history:             \n",
+       "    comment:             \n",
+       "    instrument_name:     \n",
+       "    original_container:  odim_h5\n",
+       "    odim_conventions:    ODIM_H5/V2_2"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "radar_sample = radar[doi]\n",
+    "radar_sample"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "cbd7a63c-b32e-4a81-a655-ec1068889b35",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x1498de0fd890>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "radar_sample.RAIN.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c64f3fa7-3243-47a5-99fc-0153194e9b75",
+   "metadata": {},
+   "source": [
+    "## Putting them together, the simple way, without \"merging\" them\n",
+    "\n",
+    "Despite their differences, these data sources can easily be co-indexed. If all you want to do is retrieve the relevant samples by date, than can be done quickly and easily using a pipeline."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "20a5aee8-4471-451d-b56e-17584d74706b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --object-font-color0: rgb(212, 67, 174);\n",
+       "  --object-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --object-font-color3: rgba(236, 217, 217, 0.932);\n",
+       "  --object-border-color: #1F1F1F;\n",
+       "  --object-disabled-color: #473b3b;\n",
+       "  --object-background-color: #d9c4e4;\n",
+       "  --object-background-color-row-even: #242121;\n",
+       "  --object-background-color-row-odd: rgb(91, 83, 83)\n",
+       "}\n",
+       "\n",
+       ".object-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".object-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--object-border-color);\n",
+       "}\n",
+       "\n",
+       ".object-header > div,\n",
+       ".object-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".object-header > li {\n",
+       "  display: grid;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "  padding-left: 0 !important;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".object-obj-type,\n",
+       ".object-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 15px;\n",
+       "}\n",
+       "\n",
+       ".object-obj-type {\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 200px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".object-section-item {\n",
+       "  display:contents;\n",
+       "}\n",
+       "\n",
+       ".object-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-section-item input + label {\n",
+       "  color: var(--object-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".object-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-section-item input:enabled + label:hover {\n",
+       "  color: var(--object-font-color0);\n",
+       "}\n",
+       "\n",
+       ".object-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--object-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  padding-bottom: 0%;\n",
+       "}\n",
+       "\n",
+       ".object-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "  padding-right: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:disabled + label {\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-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",
+       ".object-section-summary-in:disabled + label:before {\n",
+       "  color: var(--object-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-section-summary,\n",
+       ".object-section-inline-details {\n",
+       "  padding-top: 2px;\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".object-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".object-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "  padding-left: 10px;\n",
+       "\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:checked ~ .object-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".object-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".object-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".object-preview {\n",
+       "  color: var(--object-font-color3);\n",
+       "}\n",
+       "\n",
+       ".object-array-preview,\n",
+       ".object-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".object-array-data,\n",
+       ".object-array-in:checked ~ .object-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-array-in:checked ~ .object-array-data,\n",
+       ".object-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".object-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".object-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".object-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".object-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".object-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".object-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".object-var-list,\n",
+       ".object-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".object-var-item > div,\n",
+       ".object-var-item label,\n",
+       ".object-var-item > .object-var-name span {\n",
+       "  background-color: var(--object-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".object-var-item > .object-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".object-var-list > li:nth-child(odd) > div,\n",
+       ".object-var-list > li:nth-child(odd) > label,\n",
+       ".object-var-list > li:nth-child(odd) > .object-var-name span {\n",
+       "  background-color: var(--object-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".object-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".object-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".object-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".object-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-var-name,\n",
+       ".object-var-dims,\n",
+       ".object-var-dtype,\n",
+       ".object-preview,\n",
+       ".object-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".object-var-name:hover,\n",
+       ".object-var-dims:hover,\n",
+       ".object-var-dtype:hover,\n",
+       ".object-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".object-var-attrs,\n",
+       ".object-var-data,\n",
+       ".object-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--object-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".object-var-attrs-in:checked ~ .object-var-attrs,\n",
+       ".object-var-data-in:checked ~ .object-var-data,\n",
+       ".object-index-data-in:checked ~ .object-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".object-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".object-var-name span,\n",
+       ".object-var-data,\n",
+       ".object-index-name div,\n",
+       ".object-index-data,\n",
+       ".object-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".object-attrs,\n",
+       ".object-var-attrs,\n",
+       ".object-var-data,\n",
+       ".object-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.object-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dt,\n",
+       ".object-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--object-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".object-icon-database,\n",
+       ".object-icon-storm,\n",
+       ".object-icon-dots,\n",
+       ".object-icon-file-text2,\n",
+       ".object-no-icon {\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",
+       "\n",
+       "</style><pre class='object-text-repr-fallback'>Pipeline\n",
+       "\tDescription                    `pyearthtools.pipeline` Data Pipeline\n",
+       "\n",
+       "\n",
+       "\tInitialisation                 \n",
+       "\t\t exceptions_to_ignore           None\n",
+       "\t\t iterator                       None\n",
+       "\t\t sampler                        None\n",
+       "\tSteps                          \n",
+       "\t\t Himawari                       {&#x27;Himawari&#x27;: {&#x27;data_interval&#x27;: &quot;(10, &#x27;m&#x27;)&quot;, &#x27;file_regex&#x27;: &quot;&#x27;*{date_info}*{time_info}*.nc&#x27;&quot;, &#x27;variables&#x27;: &quot;[&#x27;surface_global_irradiance&#x27;]&quot;}}\n",
+       "\t\t ACCESS.ACCESS_Analysis         {&#x27;ACCESS_Analysis&#x27;: {&#x27;data_interval&#x27;: &quot;(6, &#x27;h&#x27;)&quot;, &#x27;datatype&#x27;: &quot;&#x27;an&#x27;&quot;, &#x27;level_value&#x27;: &#x27;None&#x27;, &#x27;region&#x27;: &quot;&#x27;g&#x27;&quot;, &#x27;variables&#x27;: &quot;[&#x27;sfc/mslp&#x27;]&quot;}}\n",
+       "\t\t RadarDemo                      {&#x27;RadarDemo&#x27;: {&#x27;variables&#x27;: &quot;&#x27;RAIN&#x27;&quot;}}</pre><div class='object-wrap' style='display:none'><div class='object-header'><div class='object-name'><h2>Pipeline</h2></div><li class='object-section-item'><input id='section-c73698a2-2417-4eac-a8e2-cb414042c8ca' class='object-section-summary-in' type='checkbox' disabled ><label for='section-c73698a2-2417-4eac-a8e2-cb414042c8ca' class='object-section-summary'  title='Expand/collapse section'>Description:</label><div class='object-section-inline-details'>`pyearthtools.pipeline` Data Pipeline</div><div class='object-section-inline-details'></div></li></div><ul class='object-sections'><li class='object-section-item'><input id='section-f645ccd6-10fa-4b6d-99bb-b4dc2794eb95' class='object-section-summary-in' type='checkbox'  checked><label for='section-f645ccd6-10fa-4b6d-99bb-b4dc2794eb95' class='object-section-summary' >Initialisation:</label><div class='object-section-inline-details'></div><div class='object-section-inline-details'></div><div class='object-section-details'><ul class='object-var-list'><li class='object-var-item'><div class='object-var-name'><span>exceptions_to_ignore</span></div><div class='object-var-preview object-preview'>None</div><input id='data-ecc80c62-414c-43fa-990a-d5c88761174b' class='object-var-data-in' type='checkbox'><label for='data-ecc80c62-414c-43fa-990a-d5c88761174b' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>None</div></li><li class='object-var-item'><div class='object-var-name'><span>iterator</span></div><div class='object-var-preview object-preview'>None</div><input id='data-d2cdd111-2137-443c-98a4-88e8eec895b2' class='object-var-data-in' type='checkbox'><label for='data-d2cdd111-2137-443c-98a4-88e8eec895b2' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>None</div></li><li class='object-var-item'><div class='object-var-name'><span>sampler</span></div><div class='object-var-preview object-preview'>None</div><input id='data-61348ab7-5dd0-4b24-ae84-2bcfc5f61e0a' class='object-var-data-in' type='checkbox'><label for='data-61348ab7-5dd0-4b24-ae84-2bcfc5f61e0a' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>None</div></li></ul></div></li><li class='object-section-item'><input id='section-6e5dfe99-9cfe-4389-b3a7-c8da7e22db7a' class='object-section-summary-in' type='checkbox'  checked><label for='section-6e5dfe99-9cfe-4389-b3a7-c8da7e22db7a' class='object-section-summary' >Steps:</label><div class='object-section-inline-details'></div><div class='object-section-inline-details'></div><div class='object-section-details'><ul class='object-var-list'><li class='object-var-item'><div class='object-var-name'><span>Himawari</span></div><div class='object-var-preview object-preview'>{&#x27;Himawari&#x27;: {&#x27;data_interval&#x27;: (10, &#x27;m&#x27;), &#x27;file_regex&#x27;: &#x27;*{date_info}*{time_info}*.nc&#x27;, &#x27;variables&#x27;: [&#x27;surface_global_irradiance&#x27;]}}</div><input id='data-22c62d94-40e9-42fe-9d2b-0ae389a0e4a8' class='object-var-data-in' type='checkbox'><label for='data-22c62d94-40e9-42fe-9d2b-0ae389a0e4a8' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>Himawari : {'data_interval': (10, 'm'), 'file_regex': '*{date_info}*{time_info}*.nc', 'variables': ['surface_global_irradiance']}</div></li><li class='object-var-item'><div class='object-var-name'><span>ACCESS.ACCESS_Analysis</span></div><div class='object-var-preview object-preview'>{&#x27;ACCESS_Analysis&#x27;: {&#x27;data_interval&#x27;: (6, &#x27;h&#x27;), &#x27;datatype&#x27;: &#x27;an&#x27;, &#x27;level_value&#x27;: None, &#x27;region&#x27;: &#x27;g&#x27;, &#x27;variables&#x27;: [&#x27;sfc/mslp&#x27;]}}</div><input id='data-7fc6ff5a-e6f9-46c5-b148-31ed796b8435' class='object-var-data-in' type='checkbox'><label for='data-7fc6ff5a-e6f9-46c5-b148-31ed796b8435' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>ACCESS_Analysis : {'data_interval': (6, 'h'), 'datatype': 'an', 'level_value': None, 'region': 'g', 'variables': ['sfc/mslp']}</div></li><li class='object-var-item'><div class='object-var-name'><span>RadarDemo</span></div><div class='object-var-preview object-preview'>{&#x27;RadarDemo&#x27;: {&#x27;variables&#x27;: &#x27;RAIN&#x27;}}</div><input id='data-e3190575-874d-4fc7-be14-e9c0a9992490' class='object-var-data-in' type='checkbox'><label for='data-e3190575-874d-4fc7-be14-e9c0a9992490' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>RadarDemo : {'variables': 'RAIN'}</div></li></ul></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h2>Graph</h2>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
+       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
+       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
+       "<!-- Generated by graphviz version 2.40.1 (0)\n",
+       " -->\n",
+       "<!-- Title: %3 Pages: 1 -->\n",
+       "<svg width=\"372pt\" height=\"44pt\"\n",
+       " viewBox=\"0.00 0.00 371.50 44.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
+       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 40)\">\n",
+       "<title>%3</title>\n",
+       "<polygon fill=\"#ffffff\" stroke=\"transparent\" points=\"-4,4 -4,-40 367.5,-40 367.5,4 -4,4\"/>\n",
+       "<!-- Himawari_4c7009fa&#45;8a09&#45;4486&#45;b803&#45;aa3749658aa5 -->\n",
+       "<g id=\"node1\" class=\"node\">\n",
+       "<title>Himawari_4c7009fa&#45;8a09&#45;4486&#45;b803&#45;aa3749658aa5</title>\n",
+       "<polygon fill=\"none\" stroke=\"#000000\" points=\"70,-36 0,-36 0,0 70,0 70,-36\"/>\n",
+       "<text text-anchor=\"middle\" x=\"35\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">Himawari</text>\n",
+       "</g>\n",
+       "<!-- ACCESS_Analysis_1f512668&#45;8675&#45;4f5e&#45;a207&#45;3ed5c749db81 -->\n",
+       "<g id=\"node2\" class=\"node\">\n",
+       "<title>ACCESS_Analysis_1f512668&#45;8675&#45;4f5e&#45;a207&#45;3ed5c749db81</title>\n",
+       "<polygon fill=\"none\" stroke=\"#000000\" points=\"262,-36 88,-36 88,0 262,0 262,-36\"/>\n",
+       "<text text-anchor=\"middle\" x=\"175\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">ACCESS.ACCESS_Analysis</text>\n",
+       "</g>\n",
+       "<!-- RadarDemo_9e7a5695&#45;babb&#45;432f&#45;89d8&#45;a9d97f8bc739 -->\n",
+       "<g id=\"node3\" class=\"node\">\n",
+       "<title>RadarDemo_9e7a5695&#45;babb&#45;432f&#45;89d8&#45;a9d97f8bc739</title>\n",
+       "<polygon fill=\"none\" stroke=\"#000000\" points=\"363.5,-36 280.5,-36 280.5,0 363.5,0 363.5,-36\"/>\n",
+       "<text text-anchor=\"middle\" x=\"322\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">RadarDemo</text>\n",
+       "</g>\n",
+       "</g>\n",
+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<graphviz.graphs.Digraph at 0x1498de12f990>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pipe = petpipe.Pipeline(\n",
+    "    (himawari, access_g, radar),\n",
+    ")\n",
+    "pipe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "30bdf8be-42d0-4772-9816-f35a12290a6a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "all_sources = pipe[doi]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "7ed8287e-f732-43d8-a012-fc2004a8bcd9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'tuple'>\n",
+      "3\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Indexing into the pipeline by the data of interest returns a tuple, with\n",
+    "# the retrieved item from each data source according to that data of interest\n",
+    "print(type(all_sources))\n",
+    "print(len(all_sources))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "10025013-3c83-4d5b-91b2-24210edc5b65",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
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+       "}\n",
+       "\n",
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+       "html[data-theme=\"dark\"],\n",
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+       "  --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 !important;\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 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\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:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0);\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-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
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+       "}\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",
+       ".xr-index-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",
+       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-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",
+       ".xr-no-icon {\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; Size: 68kB\n",
+       "Dimensions:                     (y: 128, x: 128)\n",
+       "Coordinates:\n",
+       "  * x                           (x) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "  * y                           (y) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "    ProjectionCoordinateSystem  int32 4B ...\n",
+       "    projection                  int32 4B ...\n",
+       "Data variables:\n",
+       "    RAIN                        (y, x) float32 66kB dask.array&lt;chunksize=(128, 128), meta=np.ndarray&gt;\n",
+       "Attributes: (12/13)\n",
+       "    radar_name:          \n",
+       "    nradar:              1\n",
+       "    Conventions:         CF/Radial instrument_parameters\n",
+       "    version:             H5rad 2.2\n",
+       "    title:               \n",
+       "    institution:         \n",
+       "    ...                  ...\n",
+       "    source:              RAD:AU71,PLC:T/Hills,CTY:500,STN:66210\n",
+       "    history:             \n",
+       "    comment:             \n",
+       "    instrument_name:     \n",
+       "    original_container:  odim_h5\n",
+       "    odim_conventions:    ODIM_H5/V2_2</pre><div class='xr-wrap' style='display:none'><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-6a4af137-acb2-4970-bea0-b5018aa284ea' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a4af137-acb2-4970-bea0-b5018aa284ea' 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'>y</span>: 128</li><li><span class='xr-has-index'>x</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fcf55c89-b285-4eaa-a338-1dccea053298' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fcf55c89-b285-4eaa-a338-1dccea053298' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.27e+05 -1.25e+05 ... 1.27e+05</div><input id='attrs-f43e7c3c-1c6f-4148-b93d-75fc57f445f8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f43e7c3c-1c6f-4148-b93d-75fc57f445f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed9b5f1d-9830-4087-b26d-3cfb9293bd08' class='xr-var-data-in' type='checkbox'><label for='data-ed9b5f1d-9830-4087-b26d-3cfb9293bd08' 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([-127000., -125000., -123000., -121000., -119000., -117000., -115000.,\n",
+       "       -113000., -111000., -109000., -107000., -105000., -103000., -101000.,\n",
+       "        -99000.,  -97000.,  -95000.,  -93000.,  -91000.,  -89000.,  -87000.,\n",
+       "        -85000.,  -83000.,  -81000.,  -79000.,  -77000.,  -75000.,  -73000.,\n",
+       "        -71000.,  -69000.,  -67000.,  -65000.,  -63000.,  -61000.,  -59000.,\n",
+       "        -57000.,  -55000.,  -53000.,  -51000.,  -49000.,  -47000.,  -45000.,\n",
+       "        -43000.,  -41000.,  -39000.,  -37000.,  -35000.,  -33000.,  -31000.,\n",
+       "        -29000.,  -27000.,  -25000.,  -23000.,  -21000.,  -19000.,  -17000.,\n",
+       "        -15000.,  -13000.,  -11000.,   -9000.,   -7000.,   -5000.,   -3000.,\n",
+       "         -1000.,    1000.,    3000.,    5000.,    7000.,    9000.,   11000.,\n",
+       "         13000.,   15000.,   17000.,   19000.,   21000.,   23000.,   25000.,\n",
+       "         27000.,   29000.,   31000.,   33000.,   35000.,   37000.,   39000.,\n",
+       "         41000.,   43000.,   45000.,   47000.,   49000.,   51000.,   53000.,\n",
+       "         55000.,   57000.,   59000.,   61000.,   63000.,   65000.,   67000.,\n",
+       "         69000.,   71000.,   73000.,   75000.,   77000.,   79000.,   81000.,\n",
+       "         83000.,   85000.,   87000.,   89000.,   91000.,   93000.,   95000.,\n",
+       "         97000.,   99000.,  101000.,  103000.,  105000.,  107000.,  109000.,\n",
+       "        111000.,  113000.,  115000.,  117000.,  119000.,  121000.,  123000.,\n",
+       "        125000.,  127000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.27e+05 -1.25e+05 ... 1.27e+05</div><input id='attrs-b6631fc7-985a-4ac0-ae21-a64ce730cfdc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6631fc7-985a-4ac0-ae21-a64ce730cfdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36701b5e-42f8-465d-95de-d152de3a1625' class='xr-var-data-in' type='checkbox'><label for='data-36701b5e-42f8-465d-95de-d152de3a1625' 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([-127000., -125000., -123000., -121000., -119000., -117000., -115000.,\n",
+       "       -113000., -111000., -109000., -107000., -105000., -103000., -101000.,\n",
+       "        -99000.,  -97000.,  -95000.,  -93000.,  -91000.,  -89000.,  -87000.,\n",
+       "        -85000.,  -83000.,  -81000.,  -79000.,  -77000.,  -75000.,  -73000.,\n",
+       "        -71000.,  -69000.,  -67000.,  -65000.,  -63000.,  -61000.,  -59000.,\n",
+       "        -57000.,  -55000.,  -53000.,  -51000.,  -49000.,  -47000.,  -45000.,\n",
+       "        -43000.,  -41000.,  -39000.,  -37000.,  -35000.,  -33000.,  -31000.,\n",
+       "        -29000.,  -27000.,  -25000.,  -23000.,  -21000.,  -19000.,  -17000.,\n",
+       "        -15000.,  -13000.,  -11000.,   -9000.,   -7000.,   -5000.,   -3000.,\n",
+       "         -1000.,    1000.,    3000.,    5000.,    7000.,    9000.,   11000.,\n",
+       "         13000.,   15000.,   17000.,   19000.,   21000.,   23000.,   25000.,\n",
+       "         27000.,   29000.,   31000.,   33000.,   35000.,   37000.,   39000.,\n",
+       "         41000.,   43000.,   45000.,   47000.,   49000.,   51000.,   53000.,\n",
+       "         55000.,   57000.,   59000.,   61000.,   63000.,   65000.,   67000.,\n",
+       "         69000.,   71000.,   73000.,   75000.,   77000.,   79000.,   81000.,\n",
+       "         83000.,   85000.,   87000.,   89000.,   91000.,   93000.,   95000.,\n",
+       "         97000.,   99000.,  101000.,  103000.,  105000.,  107000.,  109000.,\n",
+       "        111000.,  113000.,  115000.,  117000.,  119000.,  121000.,  123000.,\n",
+       "        125000.,  127000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ProjectionCoordinateSystem</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-682ed7bb-0d67-4614-aa62-c5bc8ebf04f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-682ed7bb-0d67-4614-aa62-c5bc8ebf04f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8317797-c3ef-466a-9bde-caeb2d534234' class='xr-var-data-in' type='checkbox'><label for='data-d8317797-c3ef-466a-9bde-caeb2d534234' 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>latitude_of_projection_origin :</span></dt><dd>-33.700801849365234</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>151.20899963378906</dd><dt><span>_CoordinateTransformType :</span></dt><dd>Projection</dd><dt><span>_CoordinateAxes :</span></dt><dd>x y z time</dd><dt><span>_CoordinateAxesTypes :</span></dt><dd>GeoX GeoY Height Time</dd><dt><span>grid_mapping_name :</span></dt><dd>azimuthal_equidistant</dd><dt><span>semi_major_axis :</span></dt><dd>6370997.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.25</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b285d54-44b2-4dc7-b8b0-be28e232287a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b285d54-44b2-4dc7-b8b0-be28e232287a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-807a85fd-5ee7-47b5-a14e-1bb4d66a1d7b' class='xr-var-data-in' type='checkbox'><label for='data-807a85fd-5ee7-47b5-a14e-1bb4d66a1d7b' 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>proj :</span></dt><dd>pyart_aeqd</dd><dt><span>_include_lon_0_lat_0 :</span></dt><dd>true</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9665c542-99c8-42ff-8fcb-59fe3cfa65e2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9665c542-99c8-42ff-8fcb-59fe3cfa65e2' class='xr-section-summary' >Data variables: <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>RAIN</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(128, 128), meta=np.ndarray&gt;</div><input id='attrs-31e5194d-49e2-479e-90fa-96722dac827f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31e5194d-49e2-479e-90fa-96722dac827f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4855e319-322f-44c2-b7e9-4bb06b19d174' class='xr-var-data-in' type='checkbox'><label for='data-4855e319-322f-44c2-b7e9-4bb06b19d174' 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>rain_rate</dd><dt><span>long_name :</span></dt><dd>Radar estimated rain rate</dd><dt><span>grid_mapping :</span></dt><dd>proj</dd><dt><span>units :</span></dt><dd>mm h-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 64.00 kiB </td>\n",
+       "                        <td> 64.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (128, 128) </td>\n",
+       "                        <td> (128, 128) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >128</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">128</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa89cbd1-2388-44da-84c4-a6910c8e92e7' class='xr-section-summary-in' type='checkbox'  ><label for='section-fa89cbd1-2388-44da-84c4-a6910c8e92e7' class='xr-section-summary' >Indexes: <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-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f89f4eab-3de4-4970-840e-96eabf5ea7d0' class='xr-index-data-in' type='checkbox'/><label for='index-f89f4eab-3de4-4970-840e-96eabf5ea7d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-127000.0, -125000.0, -123000.0, -121000.0, -119000.0, -117000.0,\n",
+       "       -115000.0, -113000.0, -111000.0, -109000.0,\n",
+       "       ...\n",
+       "        109000.0,  111000.0,  113000.0,  115000.0,  117000.0,  119000.0,\n",
+       "        121000.0,  123000.0,  125000.0,  127000.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=128))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a07347a5-fa55-4104-83e2-405351ab81f8' class='xr-index-data-in' type='checkbox'/><label for='index-a07347a5-fa55-4104-83e2-405351ab81f8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-127000.0, -125000.0, -123000.0, -121000.0, -119000.0, -117000.0,\n",
+       "       -115000.0, -113000.0, -111000.0, -109000.0,\n",
+       "       ...\n",
+       "        109000.0,  111000.0,  113000.0,  115000.0,  117000.0,  119000.0,\n",
+       "        121000.0,  123000.0,  125000.0,  127000.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=128))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f5180c3-7570-434b-b4a9-45d9aa552311' class='xr-section-summary-in' type='checkbox'  ><label for='section-8f5180c3-7570-434b-b4a9-45d9aa552311' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>radar_name :</span></dt><dd></dd><dt><span>nradar :</span></dt><dd>1</dd><dt><span>Conventions :</span></dt><dd>CF/Radial instrument_parameters</dd><dt><span>version :</span></dt><dd>H5rad 2.2</dd><dt><span>title :</span></dt><dd></dd><dt><span>institution :</span></dt><dd></dd><dt><span>references :</span></dt><dd></dd><dt><span>source :</span></dt><dd>RAD:AU71,PLC:T/Hills,CTY:500,STN:66210</dd><dt><span>history :</span></dt><dd></dd><dt><span>comment :</span></dt><dd></dd><dt><span>instrument_name :</span></dt><dd></dd><dt><span>original_container :</span></dt><dd>odim_h5</dd><dt><span>odim_conventions :</span></dt><dd>ODIM_H5/V2_2</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 68kB\n",
+       "Dimensions:                     (y: 128, x: 128)\n",
+       "Coordinates:\n",
+       "  * x                           (x) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "  * y                           (y) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "    ProjectionCoordinateSystem  int32 4B ...\n",
+       "    projection                  int32 4B ...\n",
+       "Data variables:\n",
+       "    RAIN                        (y, x) float32 66kB dask.array<chunksize=(128, 128), meta=np.ndarray>\n",
+       "Attributes: (12/13)\n",
+       "    radar_name:          \n",
+       "    nradar:              1\n",
+       "    Conventions:         CF/Radial instrument_parameters\n",
+       "    version:             H5rad 2.2\n",
+       "    title:               \n",
+       "    institution:         \n",
+       "    ...                  ...\n",
+       "    source:              RAD:AU71,PLC:T/Hills,CTY:500,STN:66210\n",
+       "    history:             \n",
+       "    comment:             \n",
+       "    instrument_name:     \n",
+       "    original_container:  odim_h5\n",
+       "    odim_conventions:    ODIM_H5/V2_2"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_sources[2]  # "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8182aaae-85fe-428a-8b78-c0412792aae1",
+   "metadata": {},
+   "source": [
+    "The coordinates of the radar data are specified as \"X\" and \"Y\". Because the radar data has X and Y, we have no way to correlate it with the latitude and longitude dimensions of the Himawari and ACCESS data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "20f6b5d7-3779-4044-a697-3b67fc447bb4",
+   "metadata": {},
+   "source": [
+    "# Merging datasets onto a common grid\n",
+    "\n",
+    "(Please note! There is no reason to assume that you want the data on a common grid for machine learning. Many ML algorithms are happy with (and may prefer) unhomogenised data!)\n",
+    "\n",
+    "It can be useful to try to merge data sources onto a common grid, so that they all have data at the exact same spots. For example, consider the following data sets:\n",
+    "\n",
+    "```\n",
+    "x1=[1,  3,   6,   9, 10],   y1=[1, 9, 36, 81, 100]\n",
+    "x2=[1, 2, 4, 6, 8,   10],   y2=[1, 4, 16, 64, 100]\n",
+    "```\n",
+    "\n",
+    "They both fulfil y=x^2, but with slightly different coordinates, but both ranging from 1 to 10 inclusive. The semantics of the ordinal indexing (place value) do not match the semantics of the cadinal indexing (the actual value of the coordinate). It can be really useful to line up two datasets with the same x values. When doing so, it's necessary to guess the corresponding y value in some fashion. In leiu of a clear formula, a linear interpolation of the y values is used.\n",
+    "\n",
+    "Either both y1 and y2 could each be interpolated to provide values for, say x=`[1,2,3,4,5,6,7,8,9,10]`, or y1 could be interpolated to give values for the x1 coordinates.\n",
+    "\n",
+    "In earth system modelling terms, the most common interpolation is between coordinate reference systems, possibly including different spatial resolutions. \"x\" in that case is the latitude and longitude values, and \"y\" would be the data values.\n",
+    "\n",
+    "PyEarthTools supports a number of transformations. This notebook demonstrates the \"InterpLike\" transformation which will map one dataset onto the coordinates of another using linear interpolation.\n",
+    "\n",
+    "The first step will be looking at merging Himawari with ACCESS, and then subsequently we will look at how to deal with the fact the radar data cannot be simply merged."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "4523a143-cdb2-4bed-8dcb-b3c90e364c1e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
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+       "        <path d=\"M10,2.172c-4.324,0-7.828,3.504-7.828,7.828S5.676,17.828,10,17.828c4.324,0,7.828-3.504,7.828-7.828S14.324,2.172,10,2.172M10,17.004c-3.863,0-7.004-3.141-7.004-7.003S6.137,2.997,10,2.997c3.862,0,7.004,3.141,7.004,7.004S13.862,17.004,10,17.004M10,8.559c-0.795,0-1.442,0.646-1.442,1.442S9.205,11.443,10,11.443s1.441-0.647,1.441-1.443S10.795,8.559,10,8.559 M10,10.619c-0.34,0-0.618-0.278-0.618-0.618S9.66,9.382,10,9.382S10.618,9.661,10.618,10S10.34,10.619,10,10.619 M14.12,8.559c-0.795,0-1.442,0.646-1.442,1.442s0.647,1.443,1.442,1.443s1.442-0.647,1.442-1.443S14.915,8.559,14.12,8.559 M14.12,10.619c-0.34,0-0.618-0.278-0.618-0.618s0.278-0.618,0.618-0.618S14.738,9.661,14.738,10S14.46,10.619,14.12,10.619 M5.88,8.559c-0.795,0-1.442,0.646-1.442,1.442s0.646,1.443,1.442,1.443S7.322,10.796,7.322,10S6.675,8.559,5.88,8.559 M5.88,10.619c-0.34,0-0.618-0.278-0.618-0.618S5.54,9.382,5.88,9.382S6.498,9.661,6.498,10S6.22,10.619,5.88,10.619\"></path>\n",
+       "    </symbol>\n",
+       "    <symbol id=\"icon-storm\" viewBox=\"0 0 32 32\">\n",
+       "        <path d=\"M5.163,5.768c0.167,0.167,0.438,0.167,0.605,0c0.167-0.167,0.167-0.438,0-0.604L3.953,3.349c-0.167-0.167-0.438-0.167-0.604,0c-0.167,0.167-0.167,0.437,0,0.604L5.163,5.768z M14.837,5.768l1.814-1.814c0.167-0.167,0.167-0.438,0-0.604c-0.168-0.167-0.438-0.167-0.605,0l-1.813,1.814c-0.167,0.167-0.167,0.437,0,0.604C14.399,5.935,14.67,5.935,14.837,5.768 M10,4.014c0.236,0,0.428-0.191,0.428-0.428V1.021c0-0.236-0.192-0.428-0.428-0.428S9.572,0.785,9.572,1.021v2.565C9.572,3.823,9.764,4.014,10,4.014 M18.979,10h-3.848c0-2.833-2.297-5.131-5.131-5.131c-2.833,0-5.131,2.297-5.131,5.131H1.021c-0.236,0-0.428,0.191-0.428,0.428s0.192,0.428,0.428,0.428h17.957c0.236,0,0.428-0.191,0.428-0.428S19.215,10,18.979,10 M5.725,10c0-2.361,1.914-4.275,4.275-4.275S14.276,7.639,14.276,10H5.725zM12.565,15.985H11.71v-2.138c0-0.235-0.191-0.427-0.428-0.427H8.717c-0.236,0-0.428,0.191-0.428,0.427v2.138H7.435c-0.235,0-0.427,0.191-0.427,0.428c0,0.118,0.047,0.226,0.125,0.304l2.565,2.564c0.077,0.078,0.185,0.125,0.302,0.125s0.225-0.047,0.302-0.125l2.565-2.564c0.078-0.078,0.126-0.186,0.126-0.304C12.993,16.177,12.802,15.985,12.565,15.985 M10,18.374l-1.533-1.533h0.25c0.236,0,0.428-0.191,0.428-0.428v-2.138h1.709v2.138c0,0.236,0.192,0.428,0.428,0.428h0.251L10,18.374z\"></path>\n",
+       "    </symbol>\n",
+       "    </defs>\n",
+       "    </svg>\n",
+       "<style>/* CSS stylesheet for displaying pyearthtools objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       " :root {\n",
+       "  --object-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --object-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --object-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --object-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --object-disabled-color: var(--jp-layout-color3, #249e13);\n",
+       "  --object-background-color: var(--jp-layout-color0, white);\n",
+       "  --object-background-color-row-even: var(--jp-layout-color1, rgb(169, 159, 159));\n",
+       "  --object-background-color-row-odd: var(--jp-layout-color2, rgb(202, 233, 219));\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --object-font-color0: rgb(212, 67, 174);\n",
+       "  --object-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --object-font-color3: rgba(236, 217, 217, 0.932);\n",
+       "  --object-border-color: #1F1F1F;\n",
+       "  --object-disabled-color: #473b3b;\n",
+       "  --object-background-color: #d9c4e4;\n",
+       "  --object-background-color-row-even: #242121;\n",
+       "  --object-background-color-row-odd: rgb(91, 83, 83)\n",
+       "}\n",
+       "\n",
+       ".object-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".object-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--object-border-color);\n",
+       "}\n",
+       "\n",
+       ".object-header > div,\n",
+       ".object-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".object-header > li {\n",
+       "  display: grid;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "  padding-left: 0 !important;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".object-obj-type,\n",
+       ".object-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 15px;\n",
+       "}\n",
+       "\n",
+       ".object-obj-type {\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 200px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".object-section-item {\n",
+       "  display:contents;\n",
+       "}\n",
+       "\n",
+       ".object-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-section-item input + label {\n",
+       "  color: var(--object-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".object-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-section-item input:enabled + label:hover {\n",
+       "  color: var(--object-font-color0);\n",
+       "}\n",
+       "\n",
+       ".object-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--object-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  padding-bottom: 0%;\n",
+       "}\n",
+       "\n",
+       ".object-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "  padding-right: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:disabled + label {\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-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",
+       ".object-section-summary-in:disabled + label:before {\n",
+       "  color: var(--object-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-section-summary,\n",
+       ".object-section-inline-details {\n",
+       "  padding-top: 2px;\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".object-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".object-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "  padding-left: 10px;\n",
+       "\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:checked ~ .object-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".object-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".object-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".object-preview {\n",
+       "  color: var(--object-font-color3);\n",
+       "}\n",
+       "\n",
+       ".object-array-preview,\n",
+       ".object-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".object-array-data,\n",
+       ".object-array-in:checked ~ .object-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-array-in:checked ~ .object-array-data,\n",
+       ".object-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".object-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".object-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".object-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".object-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".object-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".object-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".object-var-list,\n",
+       ".object-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".object-var-item > div,\n",
+       ".object-var-item label,\n",
+       ".object-var-item > .object-var-name span {\n",
+       "  background-color: var(--object-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".object-var-item > .object-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".object-var-list > li:nth-child(odd) > div,\n",
+       ".object-var-list > li:nth-child(odd) > label,\n",
+       ".object-var-list > li:nth-child(odd) > .object-var-name span {\n",
+       "  background-color: var(--object-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".object-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".object-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".object-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".object-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-var-name,\n",
+       ".object-var-dims,\n",
+       ".object-var-dtype,\n",
+       ".object-preview,\n",
+       ".object-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".object-var-name:hover,\n",
+       ".object-var-dims:hover,\n",
+       ".object-var-dtype:hover,\n",
+       ".object-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".object-var-attrs,\n",
+       ".object-var-data,\n",
+       ".object-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--object-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".object-var-attrs-in:checked ~ .object-var-attrs,\n",
+       ".object-var-data-in:checked ~ .object-var-data,\n",
+       ".object-index-data-in:checked ~ .object-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".object-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".object-var-name span,\n",
+       ".object-var-data,\n",
+       ".object-index-name div,\n",
+       ".object-index-data,\n",
+       ".object-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".object-attrs,\n",
+       ".object-var-attrs,\n",
+       ".object-var-data,\n",
+       ".object-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.object-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dt,\n",
+       ".object-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--object-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".object-icon-database,\n",
+       ".object-icon-storm,\n",
+       ".object-icon-dots,\n",
+       ".object-icon-file-text2,\n",
+       ".object-no-icon {\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",
+       "\n",
+       "</style><pre class='object-text-repr-fallback'>Pipeline\n",
+       "\tDescription                    `pyearthtools.pipeline` Data Pipeline\n",
+       "\n",
+       "\n",
+       "\tInitialisation                 \n",
+       "\t\t exceptions_to_ignore           None\n",
+       "\t\t iterator                       None\n",
+       "\t\t sampler                        None\n",
+       "\tSteps                          \n",
+       "\t\t Himawari                       {&#x27;Himawari&#x27;: {&#x27;data_interval&#x27;: &quot;(10, &#x27;m&#x27;)&quot;, &#x27;file_regex&#x27;: &quot;&#x27;*{date_info}*{time_info}*.nc&#x27;&quot;, &#x27;variables&#x27;: &quot;[&#x27;surface_global_irradiance&#x27;]&quot;}}\n",
+       "\t\t ACCESS.ACCESS_Analysis         {&#x27;ACCESS_Analysis&#x27;: {&#x27;data_interval&#x27;: &quot;(6, &#x27;h&#x27;)&quot;, &#x27;datatype&#x27;: &quot;&#x27;an&#x27;&quot;, &#x27;level_value&#x27;: &#x27;None&#x27;, &#x27;region&#x27;: &quot;&#x27;g&#x27;&quot;, &#x27;variables&#x27;: &quot;[&#x27;sfc/mslp&#x27;]&quot;}}\n",
+       "\t\t join.InterpLike                {&#x27;InterpLike&#x27;: {&#x27;merge_kwargs&#x27;: &#x27;None&#x27;, &#x27;reference_dataset&#x27;: &quot;&lt;xarray.DataArray &#x27;mslp&#x27; (latitude: 295, longitude: 252)&gt; Size: 297kB\\ndask.array&lt;getitem, shape=(295, 252), dtype=float32, chunksize=(295, 252), chunktype=numpy.ndarray&gt;\\nCoordinates:\\n    time       datetime64[ns] 8B 2021-06-09T06:00:00\\n  * latitude   (latitude) float32 1kB -10.02 -10.14 -10.25 ... -44.36 -44.47\\n  * longitude  (longitude) float32 1kB 112.1 112.2 112.4 ... 155.8 156.0 156.2\\nAttributes:\\n    grid_type:   spatial\\n    level_type:  single\\n    units:       Pa\\n    long_name:   mean sea level pressure\\n    stash_code:  16222\\n    accum_type:  instantaneous&quot;}}</pre><div class='object-wrap' style='display:none'><div class='object-header'><div class='object-name'><h2>Pipeline</h2></div><li class='object-section-item'><input id='section-217c9927-aa3b-4b21-a131-9c8feae3b775' class='object-section-summary-in' type='checkbox' disabled ><label for='section-217c9927-aa3b-4b21-a131-9c8feae3b775' class='object-section-summary'  title='Expand/collapse section'>Description:</label><div class='object-section-inline-details'>`pyearthtools.pipeline` Data Pipeline</div><div class='object-section-inline-details'></div></li></div><ul class='object-sections'><li class='object-section-item'><input id='section-46215862-dce7-4d8a-9343-c9d0b0cd7423' class='object-section-summary-in' type='checkbox'  checked><label for='section-46215862-dce7-4d8a-9343-c9d0b0cd7423' class='object-section-summary' >Initialisation:</label><div class='object-section-inline-details'></div><div class='object-section-inline-details'></div><div class='object-section-details'><ul class='object-var-list'><li class='object-var-item'><div class='object-var-name'><span>exceptions_to_ignore</span></div><div class='object-var-preview object-preview'>None</div><input id='data-037d078c-0733-4069-9be6-2fd18230def6' class='object-var-data-in' type='checkbox'><label for='data-037d078c-0733-4069-9be6-2fd18230def6' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>None</div></li><li class='object-var-item'><div class='object-var-name'><span>iterator</span></div><div class='object-var-preview object-preview'>None</div><input id='data-efa5f504-118b-49fe-9bfb-1238b84f5891' class='object-var-data-in' type='checkbox'><label for='data-efa5f504-118b-49fe-9bfb-1238b84f5891' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>None</div></li><li class='object-var-item'><div class='object-var-name'><span>sampler</span></div><div class='object-var-preview object-preview'>None</div><input id='data-91220ee4-f9d9-427a-aa84-075d6f2e0880' class='object-var-data-in' type='checkbox'><label for='data-91220ee4-f9d9-427a-aa84-075d6f2e0880' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>None</div></li></ul></div></li><li class='object-section-item'><input id='section-2d7c21e6-262b-4658-9c30-18bfa82e1721' class='object-section-summary-in' type='checkbox'  checked><label for='section-2d7c21e6-262b-4658-9c30-18bfa82e1721' class='object-section-summary' >Steps:</label><div class='object-section-inline-details'></div><div class='object-section-inline-details'></div><div class='object-section-details'><ul class='object-var-list'><li class='object-var-item'><div class='object-var-name'><span>Himawari</span></div><div class='object-var-preview object-preview'>{&#x27;Himawari&#x27;: {&#x27;data_interval&#x27;: (10, &#x27;m&#x27;), &#x27;file_regex&#x27;: &#x27;*{date_info}*{time_info}*.nc&#x27;, &#x27;variables&#x27;: [&#x27;surface_global_irradiance&#x27;]}}</div><input id='data-51dad23f-8cbf-4438-9aef-aea2f1ceaaba' class='object-var-data-in' type='checkbox'><label for='data-51dad23f-8cbf-4438-9aef-aea2f1ceaaba' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>Himawari : {'data_interval': (10, 'm'), 'file_regex': '*{date_info}*{time_info}*.nc', 'variables': ['surface_global_irradiance']}</div></li><li class='object-var-item'><div class='object-var-name'><span>ACCESS.ACCESS_Analysis</span></div><div class='object-var-preview object-preview'>{&#x27;ACCESS_Analysis&#x27;: {&#x27;data_interval&#x27;: (6, &#x27;h&#x27;), &#x27;datatype&#x27;: &#x27;an&#x27;, &#x27;level_value&#x27;: None, &#x27;region&#x27;: &#x27;g&#x27;, &#x27;variables&#x27;: [&#x27;sfc/mslp&#x27;]}}</div><input id='data-83dd2a7a-0e36-4c31-b509-1a4d5f84c382' class='object-var-data-in' type='checkbox'><label for='data-83dd2a7a-0e36-4c31-b509-1a4d5f84c382' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>ACCESS_Analysis : {'data_interval': (6, 'h'), 'datatype': 'an', 'level_value': None, 'region': 'g', 'variables': ['sfc/mslp']}</div></li><li class='object-var-item'><div class='object-var-name'><span>join.InterpLike</span></div><div class='object-var-preview object-preview'>{&#x27;InterpLike&#x27;: {&#x27;merge_kwargs&#x27;: None, &#x27;reference_dataset&#x27;: &lt;xarray.DataArray &#x27;mslp&#x27; (latitude: 295, longitude: 252)&gt; Size: 297kB\n",
+       "dask.array&lt;getitem, shape=(295, 252), dtype=float32, chunksize=(295, 252), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "    time       datetime64[ns] 8B 2021-06-09T06:00:00\n",
+       "  * latitude   (latitude) float32 1kB -10.02 -10.14 -10.25 ... -44.36 -44.47\n",
+       "  * longitude  (longitude) float32 1kB 112.1 112.2 112.4 ... 155.8 156.0 156.2\n",
+       "Attributes:\n",
+       "    grid_type:   spatial\n",
+       "    level_type:  single\n",
+       "    units:       Pa\n",
+       "    long_name:   mean sea level pressure\n",
+       "    stash_code:  16222\n",
+       "    accum_type:  instantaneous}}</div><input id='data-94d6829a-b72c-46ca-8f36-361edc5fe816' class='object-var-data-in' type='checkbox'><label for='data-94d6829a-b72c-46ca-8f36-361edc5fe816' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>InterpLike : {'merge_kwargs': None, 'reference_dataset': <xarray.DataArray 'mslp' (latitude: 295, longitude: 252)> Size: 297kB\n",
+       "dask.array<getitem, shape=(295, 252), dtype=float32, chunksize=(295, 252), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "    time       datetime64[ns] 8B 2021-06-09T06:00:00\n",
+       "  * latitude   (latitude) float32 1kB -10.02 -10.14 -10.25 ... -44.36 -44.47\n",
+       "  * longitude  (longitude) float32 1kB 112.1 112.2 112.4 ... 155.8 156.0 156.2\n",
+       "Attributes:\n",
+       "    grid_type:   spatial\n",
+       "    level_type:  single\n",
+       "    units:       Pa\n",
+       "    long_name:   mean sea level pressure\n",
+       "    stash_code:  16222\n",
+       "    accum_type:  instantaneous}</div></li></ul></div></li></ul></div></div>"
+      ],
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+       "<IPython.core.display.HTML object>"
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+       "<h2>Graph</h2>"
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+       "<!-- Himawari_5c956494&#45;93c1&#45;41db&#45;b405&#45;9757d90b4ce4&#45;&gt;InterpLike_6ed23b86&#45;ce6d&#45;4cde&#45;a50f&#45;8053c4661b02 -->\n",
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+       "<title>Himawari_5c956494&#45;93c1&#45;41db&#45;b405&#45;9757d90b4ce4&#45;&gt;InterpLike_6ed23b86&#45;ce6d&#45;4cde&#45;a50f&#45;8053c4661b02</title>\n",
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+     "metadata": {},
+     "output_type": "display_data"
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+   ],
+   "source": [
+    "pipe = petpipe.Pipeline(\n",
+    "    (himawari, access_g),\n",
+    "    petpipe.operations.xarray.join.InterpLike(sample_mslp[0])\n",
+    ")\n",
+    "pipe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "7da3b05b-b7af-4364-8095-c587f9b4aa71",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "merged_sample = pipe[doi]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "c62eb102-cc11-4aa0-96db-cf2065beb357",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<defs>\n",
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+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
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+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --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 !important;\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",
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+       "\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 0 20px 0 20px;\n",
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+       "\n",
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+       "\n",
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+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\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:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0);\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",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 894kB\n",
+       "Dimensions:                    (time: 1, latitude: 295, longitude: 252)\n",
+       "Coordinates:\n",
+       "  * time                       (time) datetime64[ns] 8B 2021-06-09T06:00:00\n",
+       "  * latitude                   (latitude) float32 1kB -10.02 -10.14 ... -44.47\n",
+       "  * longitude                  (longitude) float32 1kB 112.1 112.2 ... 156.2\n",
+       "Data variables:\n",
+       "    surface_global_irradiance  (time, latitude, longitude) float64 595kB dask.array&lt;chunksize=(1, 295, 252), meta=np.ndarray&gt;\n",
+       "    mslp                       (time, latitude, longitude) float32 297kB dask.array&lt;chunksize=(1, 295, 252), meta=np.ndarray&gt;\n",
+       "Attributes: (12/58)\n",
+       "    Conventions:                      CF-1.7\n",
+       "    Metadata_Conventions:             Unidata Dataset Discovery v1.0\n",
+       "    acknowledgment:                   The following acknowledgement is requir...\n",
+       "    cdm_data_type:                    grid\n",
+       "    comment:                          Solar radiation data derived from satel...\n",
+       "    contributor_name:                 Mines ParisTech; Commonwealth of Austra...\n",
+       "    ...                               ...\n",
+       "    quality:                          0\n",
+       "    quality_meaning:                  0: no_known_issues 1: known_issue \n",
+       "    project:                          Gridded Solar Observations\n",
+       "    history:                          Mon Mar  4 01:55:13 2024: ncatted -a re...\n",
+       "    references:                       Poulsen C., Majewski L. J. (2022) Gridd...\n",
+       "    NCO:                              netCDF Operators version 4.7.7 (Homepag...</pre><div class='xr-wrap' style='display:none'><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-d88d3a36-6073-43bc-86c6-7c10eef9c57e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d88d3a36-6073-43bc-86c6-7c10eef9c57e' 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'>time</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 295</li><li><span class='xr-has-index'>longitude</span>: 252</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-13afe0dc-86ac-4cd5-976a-6abbe877e95f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13afe0dc-86ac-4cd5-976a-6abbe877e95f' 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'>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'>2021-06-09T06:00:00</div><input id='attrs-22eafcb5-2de3-426a-be18-563072ebae2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22eafcb5-2de3-426a-be18-563072ebae2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61cb1b32-4304-4f3c-a794-4cbedf6ad9e8' class='xr-var-data-in' type='checkbox'><label for='data-61cb1b32-4304-4f3c-a794-4cbedf6ad9e8' 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>comment :</span></dt><dd>Start time of the corresponding satellite observation period</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-06-09T06:00:00.000000000&#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'>float32</div><div class='xr-var-preview xr-preview'>-10.02 -10.14 ... -44.36 -44.47</div><input id='attrs-ecef05ea-8991-416e-a43a-445ffdccb289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecef05ea-8991-416e-a43a-445ffdccb289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-959b5cbb-f3ac-414d-94af-585152949aa0' class='xr-var-data-in' type='checkbox'><label for='data-959b5cbb-f3ac-414d-94af-585152949aa0' 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>latitudes</dd><dt><span>type :</span></dt><dd>uniform</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-10.019531, -10.136719, -10.253906, ..., -44.23828 , -44.35547 ,\n",
+       "       -44.472656], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>112.1 112.2 112.4 ... 156.0 156.2</div><input id='attrs-b3701e47-72ee-46a3-8373-1e053781fa3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3701e47-72ee-46a3-8373-1e053781fa3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-274e0fa2-c545-4b2d-8b52-baac4d5961c8' class='xr-var-data-in' type='checkbox'><label for='data-274e0fa2-c545-4b2d-8b52-baac4d5961c8' 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>longitudes</dd><dt><span>type :</span></dt><dd>uniform</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>360.0</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([112.06055, 112.23633, 112.41211, ..., 155.83008, 156.00586, 156.18164],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec1791aa-746c-4f67-bca8-f29ce834dec0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec1791aa-746c-4f67-bca8-f29ce834dec0' class='xr-section-summary' >Data variables: <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>surface_global_irradiance</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 295, 252), meta=np.ndarray&gt;</div><input id='attrs-8e536e8f-de45-483e-b1e6-8fef7144164c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e536e8f-de45-483e-b1e6-8fef7144164c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0740d2fc-0f1a-4608-a127-27307dfc9abe' class='xr-var-data-in' type='checkbox'><label for='data-0740d2fc-0f1a-4608-a127-27307dfc9abe' 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>surface_downwelling_shortwave_flux_in_air</dd><dt><span>long_name :</span></dt><dd>Total horizontal solar irradiance at surface with bias correction applied</dd><dt><span>comment :</span></dt><dd>Bias correction has been applied. Surface downwelling shortwave is the sum of direct and diffuse solar radiation incident on the surface, and is sometimes called &quot;global radiation&quot;</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>140000</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 580.78 kiB </td>\n",
+       "                        <td> 580.78 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (1, 295, 252) </td>\n",
+       "                        <td> (1, 295, 252) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 19 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mslp</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'>dask.array&lt;chunksize=(1, 295, 252), meta=np.ndarray&gt;</div><input id='attrs-146019bc-7e00-4a6f-99cd-36ace10e7837' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-146019bc-7e00-4a6f-99cd-36ace10e7837' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bfe0e30-3316-4627-88bf-1bfd8d44df56' class='xr-var-data-in' type='checkbox'><label for='data-8bfe0e30-3316-4627-88bf-1bfd8d44df56' 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>grid_type :</span></dt><dd>spatial</dd><dt><span>level_type :</span></dt><dd>single</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>mean sea level pressure</dd><dt><span>stash_code :</span></dt><dd>16222</dd><dt><span>accum_type :</span></dt><dd>instantaneous</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 290.39 kiB </td>\n",
+       "                        <td> 290.39 kiB </td>\n",
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+       "                    <tr>\n",
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+       "                        <td colspan=\"2\"> 1 chunks in 17 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e66d88fb-5263-4fe9-9398-07b2321314eb' class='xr-section-summary-in' type='checkbox'  ><label for='section-e66d88fb-5263-4fe9-9398-07b2321314eb' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-8b36ed27-1e9e-455b-84f8-0b0f1d74b3d5' class='xr-index-data-in' type='checkbox'/><label for='index-8b36ed27-1e9e-455b-84f8-0b0f1d74b3d5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2021-06-09 06:00:00&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-71cc4a1a-034d-43d3-9366-23c1cfe8bb5d' class='xr-index-data-in' type='checkbox'/><label for='index-71cc4a1a-034d-43d3-9366-23c1cfe8bb5d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-10.01953125, -10.13671875, -10.25390625, -10.37109375, -10.48828125,\n",
+       "       -10.60546875, -10.72265625, -10.83984375, -10.95703125, -11.07421875,\n",
+       "       ...\n",
+       "       -43.41796875, -43.53515625, -43.65234375, -43.76953125, -43.88671875,\n",
+       "       -44.00390625, -44.12109375, -44.23828125, -44.35546875, -44.47265625],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=295))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-03521468-3372-4dfe-8d1e-7a4fd49d91a5' class='xr-index-data-in' type='checkbox'/><label for='index-03521468-3372-4dfe-8d1e-7a4fd49d91a5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([112.060546875, 112.236328125, 112.412109375, 112.587890625,\n",
+       "       112.763671875, 112.939453125, 113.115234375, 113.291015625,\n",
+       "       113.466796875, 113.642578125,\n",
+       "       ...\n",
+       "       154.599609375, 154.775390625, 154.951171875, 155.126953125,\n",
+       "       155.302734375, 155.478515625, 155.654296875, 155.830078125,\n",
+       "       156.005859375, 156.181640625],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=252))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4760d329-3936-46d5-aeb1-e8f4f276bee9' class='xr-section-summary-in' type='checkbox'  ><label for='section-4760d329-3936-46d5-aeb1-e8f4f276bee9' class='xr-section-summary' >Attributes: <span>(58)</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-1.7</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>acknowledgment :</span></dt><dd>The following acknowledgement is required &quot;Solar radiation data derived from satellite imagery processed by the Bureau of Meteorology from the geostationary satellite Himawari-8 operated by the Japan Meteorological Agency using Heliosat-4 software provided by Mines ParisTech. Contains modified Copernicus Atmosphere Monitoring Service Information 2021.&quot;</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>comment :</span></dt><dd>Solar radiation data derived from satellite imagery processed by the Bureau of Meteorology from the geostationary satellite Himawari-8 operated by the Japan Meteorological Agency using Heliosat-4 software provided by Mines ParisTech</dd><dt><span>contributor_name :</span></dt><dd>Mines ParisTech; Commonwealth of Australia, Bureau of Meteorology, Science and Innovation, Research, Weather and Environmental Prediction, Satellite Applications; Commonwealth of Australia, Bureau of Meteorology, Data and Digital, Digital Services, Business Solutions Services</dd><dt><span>contributor_role :</span></dt><dd>Development; Development; Operations</dd><dt><span>creator_email :</span></dt><dd>sat_support@bom.gov.au</dd><dt><span>creator_name :</span></dt><dd>Commonwealth of Australia, Bureau of Meteorology, Data and Digital, Digital Services, Business Solutions Services</dd><dt><span>creator_url :</span></dt><dd>http://www.bom.gov.au/satellite/</dd><dt><span>disclaimer :</span></dt><dd>You are solely responsible for your use of this information and you accept all risks and consequences that might arise from your use of this information.\n",
+       "The Bureau of Meteorology (&#x27;Bureau&#x27;) is not in any way liable for losses, damages, costs, expenses and liability of any kind that you or any other person may suffer or incur directly or indirectly from you using this information. This information: is subject to the uncertainties of scientific and technical research; may not be accurate, current or complete; is subject to change without notice. Please refer to http://www.bom.gov.au/other/disclaimer.shtml for disclaimer details.\n",
+       "Neither the European Commission nor ECMWF is responsible for any use that may be made of the information it contains.</dd><dt><span>geospatial_lat_units :</span></dt><dd>degree_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degree_east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0</dd><dt><span>geospatial_vertical_units :</span></dt><dd>km</dd><dt><span>id :</span></dt><dd>ABOM_HS4_SSI_P1S_GRID_v1.0</dd><dt><span>institution :</span></dt><dd>ABOM</dd><dt><span>instrument :</span></dt><dd>AHI</dd><dt><span>keywords :</span></dt><dd>EARTH SCIENCE</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>license :</span></dt><dd>Unless provided under a different license by the Bureau of Meteorology, this information in this data file is provided under the CC BY-NC 4.0 International Licence.\n",
+       "The CC BY-NC 4.0 International (Creative Commons Attribution Non-Commercial CC BY-NC v.4.0 international) license summary may be found here: [ https://creativecommons.org/licenses/by-nc/4.0/]. The full license text may be found here: [ https://creativecommons.org/licenses/by-nc/4.0/legalcode ].\n",
+       "For commercial use, please contact Bureau of Meteorology Climate Data Services at climatedata@bom.gov.au</dd><dt><span>naming_authority :</span></dt><dd>au.gov.bom</dd><dt><span>platform :</span></dt><dd>Himawari-8</dd><dt><span>processing_level :</span></dt><dd>L3</dd><dt><span>processing_version :</span></dt><dd>heliosat-4</dd><dt><span>product_specification :</span></dt><dd>ABOM_HS4_SSI_P1S_GRID_v1.0</dd><dt><span>product_suite :</span></dt><dd>ABOM_HS4_SSI</dd><dt><span>product_version :</span></dt><dd>v1.1</dd><dt><span>publisher_email :</span></dt><dd>sat_support@bom.gov.au</dd><dt><span>publisher_name :</span></dt><dd>Commonwealth of Australia, Bureau of Meteorology, Data and Digital, Digital Services, Business Solutions Services</dd><dt><span>publisher_url :</span></dt><dd>http://www.bom.gov.au/satellite</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.7</dd><dt><span>summary :</span></dt><dd>Solar radiation data derived from satellite imagery processed by the Bureau of Meteorology from the geostationary satellite Himawari-8 operated by the Japan Meteorological Agency using Heliosat-4 software provided by Mines ParisTech. Contains modified Copernicus Atmosphere Monitoring Service Information 2021.</dd><dt><span>time_coverage_duration :</span></dt><dd>P1S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1S</dd><dt><span>title :</span></dt><dd>Heliosat-4 Solar Radiation - Instantaneous</dd><dt><span>geospatial_lat_max :</span></dt><dd>-9.99</dd><dt><span>geospatial_lat_min :</span></dt><dd>-44.51</dd><dt><span>geospatial_lon_max :</span></dt><dd>156.26999999999998</dd><dt><span>geospatial_lon_min :</span></dt><dd>111.99</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.02</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.02</dd><dt><span>time_coverage_start :</span></dt><dd>20210609T060556Z</dd><dt><span>time_coverage_end :</span></dt><dd>20210609T060835Z</dd><dt><span>source :</span></dt><dd>IDY25006.APS3.all-flds.slv.2021060900.006.surface.grb2; IDY25006.APS3.all-flds.slv.2021060900.009.surface.grb2; gfs_4_20210609_0000_006.grb2; gfs_4_20210609_0600_006.grb2; CAMS-CLIM; S_NWC_HS4C_HIMA08_HIMA-N-NR_20210609T060000Z.h5; S_NWC_HS4S_HIMA08_HIMA-N-NR_20210609T060000Z.h5; model_BC_ghi_clear_ACCESS_CAMS-CLIM_all01_all12_60_30_1_10; model_BC_ghi_cloud_ACCESS_CAMS-CLIM_all01_all12_60_30_1_10; model_BC_dni_cloud_ACCESS_CAMS-CLIM_all01_all12_60_30_1_10; model_BC_dni_cloud_ACCESS_CAMS-CLIM_all01_all12_60_30_1_10</dd><dt><span>uuid :</span></dt><dd>538d58e4-9ef3-4901-8f0a-0154a3dade3b</dd><dt><span>date_created :</span></dt><dd>20211219T225111Z</dd><dt><span>bias_correction_applied :</span></dt><dd>1</dd><dt><span>bias_correction_applied_meaning :</span></dt><dd>0: not applied; 1:applied</dd><dt><span>quality :</span></dt><dd>0</dd><dt><span>quality_meaning :</span></dt><dd>0: no_known_issues 1: known_issue </dd><dt><span>project :</span></dt><dd>Gridded Solar Observations</dd><dt><span>history :</span></dt><dd>Mon Mar  4 01:55:13 2024: ncatted -a references,global,o,c,Poulsen C., Majewski L. J. (2022) Gridded satellite solar observations Project: Implementation of Heliosat-4 and application of bias correction, Australian Bureau of Meteorology, Melbourne, Victoria.\n",
+       "\n",
+       "Qu A., Oumbe A., Blanc P., Espinar B., Gesell G., et al. (2017) Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method. Meteorologische Zeitschrift, v26, p33-57. 10.1127/metz/2016/0781 . hal-01512589 /g/data/rv74/satellite-products/arc/der/himawari-ahi/solar/p1s/v1.1/2021/06/09/IDE00326.202106090600.nc\n",
+       "Mon Mar  4 00:54:18 2024: ncatted -a references,global,a,c,Poulsen C., Majewski L. J. (2022) Gridded satellite solar observations Project: Implementation of Heliosat-4 and application of bias correction, Australian Bureau of Meteorology, Melbourne, Victoria.\n",
+       "\n",
+       "Qu A., Oumbe A., Blanc P., Espinar B., Gesell G., et al. (2017) Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method. Meteorologische Zeitschrift, v26, p33-57. 10.1127/metz/2016/0781 . hal-01512589 /g/data/rv74/satellite-products/arc/der/himawari-ahi/solar/p1s/v1.1/2021/06/09/IDE00326.202106090600.nc\n",
+       "heliosat-4; post_process_p1s.py</dd><dt><span>references :</span></dt><dd>Poulsen C., Majewski L. J. (2022) Gridded satellite solar observations Project: Implementation of Heliosat-4 and application of bias correction, Australian Bureau of Meteorology, Melbourne, Victoria.\n",
+       "\n",
+       "Qu A., Oumbe A., Blanc P., Espinar B., Gesell G., et al. (2017) Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method. Meteorologische Zeitschrift, v26, p33-57. 10.1127/metz/2016/0781 . hal-01512589</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.7.7 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 894kB\n",
+       "Dimensions:                    (time: 1, latitude: 295, longitude: 252)\n",
+       "Coordinates:\n",
+       "  * time                       (time) datetime64[ns] 8B 2021-06-09T06:00:00\n",
+       "  * latitude                   (latitude) float32 1kB -10.02 -10.14 ... -44.47\n",
+       "  * longitude                  (longitude) float32 1kB 112.1 112.2 ... 156.2\n",
+       "Data variables:\n",
+       "    surface_global_irradiance  (time, latitude, longitude) float64 595kB dask.array<chunksize=(1, 295, 252), meta=np.ndarray>\n",
+       "    mslp                       (time, latitude, longitude) float32 297kB dask.array<chunksize=(1, 295, 252), meta=np.ndarray>\n",
+       "Attributes: (12/58)\n",
+       "    Conventions:                      CF-1.7\n",
+       "    Metadata_Conventions:             Unidata Dataset Discovery v1.0\n",
+       "    acknowledgment:                   The following acknowledgement is requir...\n",
+       "    cdm_data_type:                    grid\n",
+       "    comment:                          Solar radiation data derived from satel...\n",
+       "    contributor_name:                 Mines ParisTech; Commonwealth of Austra...\n",
+       "    ...                               ...\n",
+       "    quality:                          0\n",
+       "    quality_meaning:                  0: no_known_issues 1: known_issue \n",
+       "    project:                          Gridded Solar Observations\n",
+       "    history:                          Mon Mar  4 01:55:13 2024: ncatted -a re...\n",
+       "    references:                       Poulsen C., Majewski L. J. (2022) Gridd...\n",
+       "    NCO:                              netCDF Operators version 4.7.7 (Homepag..."
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "merged_sample"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "6538bebb-4b58-4a58-a58d-34e115b5d53f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x1498de19c7d0>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# If we want to, we can now operate on the samples with a common grid\n",
+    "(merged_sample.surface_global_irradiance / merged_sample.mslp).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "79a28b8e-41f7-45c0-b646-284e67bea488",
+   "metadata": {},
+   "source": [
+    "# Pipelines with Unmergeable Data\n",
+    "\n",
+    "In this example, we will merge the Himawari and ACCESS data into a dataset which has a common coordinate reference system, but leave the radar data to be indexed separately. Each request to the pipeline according to the date of interest will return the merged data, together with the relevant unmerged data, as a tuple. The user is then able to interpret each data source as they wish."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "849bf0e4-fe50-42d8-ac15-1c09f3966fbd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    <defs>\n",
+       "    <symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "    <path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "    <path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
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+       "    </symbol>\n",
+       "    <symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+       "    <path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "    </symbol>\n",
+       "    <symbol id=\"icon-dots\" viewBox=\"0 0 32 32\">\n",
+       "        <path d=\"M10,2.172c-4.324,0-7.828,3.504-7.828,7.828S5.676,17.828,10,17.828c4.324,0,7.828-3.504,7.828-7.828S14.324,2.172,10,2.172M10,17.004c-3.863,0-7.004-3.141-7.004-7.003S6.137,2.997,10,2.997c3.862,0,7.004,3.141,7.004,7.004S13.862,17.004,10,17.004M10,8.559c-0.795,0-1.442,0.646-1.442,1.442S9.205,11.443,10,11.443s1.441-0.647,1.441-1.443S10.795,8.559,10,8.559 M10,10.619c-0.34,0-0.618-0.278-0.618-0.618S9.66,9.382,10,9.382S10.618,9.661,10.618,10S10.34,10.619,10,10.619 M14.12,8.559c-0.795,0-1.442,0.646-1.442,1.442s0.647,1.443,1.442,1.443s1.442-0.647,1.442-1.443S14.915,8.559,14.12,8.559 M14.12,10.619c-0.34,0-0.618-0.278-0.618-0.618s0.278-0.618,0.618-0.618S14.738,9.661,14.738,10S14.46,10.619,14.12,10.619 M5.88,8.559c-0.795,0-1.442,0.646-1.442,1.442s0.646,1.443,1.442,1.443S7.322,10.796,7.322,10S6.675,8.559,5.88,8.559 M5.88,10.619c-0.34,0-0.618-0.278-0.618-0.618S5.54,9.382,5.88,9.382S6.498,9.661,6.498,10S6.22,10.619,5.88,10.619\"></path>\n",
+       "    </symbol>\n",
+       "    <symbol id=\"icon-storm\" viewBox=\"0 0 32 32\">\n",
+       "        <path d=\"M5.163,5.768c0.167,0.167,0.438,0.167,0.605,0c0.167-0.167,0.167-0.438,0-0.604L3.953,3.349c-0.167-0.167-0.438-0.167-0.604,0c-0.167,0.167-0.167,0.437,0,0.604L5.163,5.768z M14.837,5.768l1.814-1.814c0.167-0.167,0.167-0.438,0-0.604c-0.168-0.167-0.438-0.167-0.605,0l-1.813,1.814c-0.167,0.167-0.167,0.437,0,0.604C14.399,5.935,14.67,5.935,14.837,5.768 M10,4.014c0.236,0,0.428-0.191,0.428-0.428V1.021c0-0.236-0.192-0.428-0.428-0.428S9.572,0.785,9.572,1.021v2.565C9.572,3.823,9.764,4.014,10,4.014 M18.979,10h-3.848c0-2.833-2.297-5.131-5.131-5.131c-2.833,0-5.131,2.297-5.131,5.131H1.021c-0.236,0-0.428,0.191-0.428,0.428s0.192,0.428,0.428,0.428h17.957c0.236,0,0.428-0.191,0.428-0.428S19.215,10,18.979,10 M5.725,10c0-2.361,1.914-4.275,4.275-4.275S14.276,7.639,14.276,10H5.725zM12.565,15.985H11.71v-2.138c0-0.235-0.191-0.427-0.428-0.427H8.717c-0.236,0-0.428,0.191-0.428,0.427v2.138H7.435c-0.235,0-0.427,0.191-0.427,0.428c0,0.118,0.047,0.226,0.125,0.304l2.565,2.564c0.077,0.078,0.185,0.125,0.302,0.125s0.225-0.047,0.302-0.125l2.565-2.564c0.078-0.078,0.126-0.186,0.126-0.304C12.993,16.177,12.802,15.985,12.565,15.985 M10,18.374l-1.533-1.533h0.25c0.236,0,0.428-0.191,0.428-0.428v-2.138h1.709v2.138c0,0.236,0.192,0.428,0.428,0.428h0.251L10,18.374z\"></path>\n",
+       "    </symbol>\n",
+       "    </defs>\n",
+       "    </svg>\n",
+       "<style>/* CSS stylesheet for displaying pyearthtools objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       " :root {\n",
+       "  --object-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --object-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --object-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --object-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --object-disabled-color: var(--jp-layout-color3, #249e13);\n",
+       "  --object-background-color: var(--jp-layout-color0, white);\n",
+       "  --object-background-color-row-even: var(--jp-layout-color1, rgb(169, 159, 159));\n",
+       "  --object-background-color-row-odd: var(--jp-layout-color2, rgb(202, 233, 219));\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --object-font-color0: rgb(212, 67, 174);\n",
+       "  --object-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --object-font-color3: rgba(236, 217, 217, 0.932);\n",
+       "  --object-border-color: #1F1F1F;\n",
+       "  --object-disabled-color: #473b3b;\n",
+       "  --object-background-color: #d9c4e4;\n",
+       "  --object-background-color-row-even: #242121;\n",
+       "  --object-background-color-row-odd: rgb(91, 83, 83)\n",
+       "}\n",
+       "\n",
+       ".object-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".object-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--object-border-color);\n",
+       "}\n",
+       "\n",
+       ".object-header > div,\n",
+       ".object-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".object-header > li {\n",
+       "  display: grid;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "  padding-left: 0 !important;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".object-obj-type,\n",
+       ".object-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 15px;\n",
+       "}\n",
+       "\n",
+       ".object-obj-type {\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 200px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".object-section-item {\n",
+       "  display:contents;\n",
+       "}\n",
+       "\n",
+       ".object-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-section-item input + label {\n",
+       "  color: var(--object-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".object-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-section-item input:enabled + label:hover {\n",
+       "  color: var(--object-font-color0);\n",
+       "}\n",
+       "\n",
+       ".object-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--object-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  padding-bottom: 0%;\n",
+       "}\n",
+       "\n",
+       ".object-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "  padding-right: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:disabled + label {\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-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",
+       ".object-section-summary-in:disabled + label:before {\n",
+       "  color: var(--object-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-section-summary,\n",
+       ".object-section-inline-details {\n",
+       "  padding-top: 2px;\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".object-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".object-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "  padding-left: 10px;\n",
+       "\n",
+       "}\n",
+       "\n",
+       ".object-section-summary-in:checked ~ .object-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".object-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".object-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".object-preview {\n",
+       "  color: var(--object-font-color3);\n",
+       "}\n",
+       "\n",
+       ".object-array-preview,\n",
+       ".object-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".object-array-data,\n",
+       ".object-array-in:checked ~ .object-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".object-array-in:checked ~ .object-array-data,\n",
+       ".object-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".object-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".object-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".object-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".object-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".object-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".object-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".object-var-list,\n",
+       ".object-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".object-var-item > div,\n",
+       ".object-var-item label,\n",
+       ".object-var-item > .object-var-name span {\n",
+       "  background-color: var(--object-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".object-var-item > .object-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".object-var-list > li:nth-child(odd) > div,\n",
+       ".object-var-list > li:nth-child(odd) > label,\n",
+       ".object-var-list > li:nth-child(odd) > .object-var-name span {\n",
+       "  background-color: var(--object-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".object-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".object-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".object-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".object-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--object-font-color2);\n",
+       "}\n",
+       "\n",
+       ".object-var-name,\n",
+       ".object-var-dims,\n",
+       ".object-var-dtype,\n",
+       ".object-preview,\n",
+       ".object-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".object-var-name:hover,\n",
+       ".object-var-dims:hover,\n",
+       ".object-var-dtype:hover,\n",
+       ".object-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".object-var-attrs,\n",
+       ".object-var-data,\n",
+       ".object-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--object-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".object-var-attrs-in:checked ~ .object-var-attrs,\n",
+       ".object-var-data-in:checked ~ .object-var-data,\n",
+       ".object-index-data-in:checked ~ .object-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".object-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".object-var-name span,\n",
+       ".object-var-data,\n",
+       ".object-index-name div,\n",
+       ".object-index-data,\n",
+       ".object-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".object-attrs,\n",
+       ".object-var-attrs,\n",
+       ".object-var-data,\n",
+       ".object-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.object-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dt,\n",
+       ".object-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--object-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".object-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".object-icon-database,\n",
+       ".object-icon-storm,\n",
+       ".object-icon-dots,\n",
+       ".object-icon-file-text2,\n",
+       ".object-no-icon {\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",
+       "\n",
+       "</style><pre class='object-text-repr-fallback'>Pipeline\n",
+       "\tDescription                    `pyearthtools.pipeline` Data Pipeline\n",
+       "\n",
+       "\n",
+       "\tInitialisation                 \n",
+       "\t\t exceptions_to_ignore           None\n",
+       "\t\t iterator                       None\n",
+       "\t\t sampler                        None\n",
+       "\tSteps                          \n",
+       "\t\t Himawari                       {&#x27;Himawari&#x27;: {&#x27;data_interval&#x27;: &quot;(10, &#x27;m&#x27;)&quot;, &#x27;file_regex&#x27;: &quot;&#x27;*{date_info}*{time_info}*.nc&#x27;&quot;, &#x27;variables&#x27;: &quot;[&#x27;surface_global_irradiance&#x27;]&quot;}}\n",
+       "\t\t ACCESS.ACCESS_Analysis         {&#x27;ACCESS_Analysis&#x27;: {&#x27;data_interval&#x27;: &quot;(6, &#x27;h&#x27;)&quot;, &#x27;datatype&#x27;: &quot;&#x27;an&#x27;&quot;, &#x27;level_value&#x27;: &#x27;None&#x27;, &#x27;region&#x27;: &quot;&#x27;g&#x27;&quot;, &#x27;variables&#x27;: &quot;[&#x27;sfc/mslp&#x27;]&quot;}}\n",
+       "\t\t join.InterpLike                {&#x27;InterpLike&#x27;: {&#x27;merge_kwargs&#x27;: &#x27;None&#x27;, &#x27;reference_dataset&#x27;: &quot;&lt;xarray.DataArray &#x27;mslp&#x27; (latitude: 295, longitude: 252)&gt; Size: 297kB\\ndask.array&lt;getitem, shape=(295, 252), dtype=float32, chunksize=(295, 252), chunktype=numpy.ndarray&gt;\\nCoordinates:\\n    time       datetime64[ns] 8B 2021-06-09T06:00:00\\n  * latitude   (latitude) float32 1kB -10.02 -10.14 -10.25 ... -44.36 -44.47\\n  * longitude  (longitude) float32 1kB 112.1 112.2 112.4 ... 155.8 156.0 156.2\\nAttributes:\\n    grid_type:   spatial\\n    level_type:  single\\n    units:       Pa\\n    long_name:   mean sea level pressure\\n    stash_code:  16222\\n    accum_type:  instantaneous&quot;}}\n",
+       "\t\t RadarDemo                      {&#x27;RadarDemo&#x27;: {&#x27;variables&#x27;: &quot;&#x27;RAIN&#x27;&quot;}}</pre><div class='object-wrap' style='display:none'><div class='object-header'><div class='object-name'><h2>Pipeline</h2></div><li class='object-section-item'><input id='section-6845b075-ca1e-4867-93f9-345c71c84929' class='object-section-summary-in' type='checkbox' disabled ><label for='section-6845b075-ca1e-4867-93f9-345c71c84929' class='object-section-summary'  title='Expand/collapse section'>Description:</label><div class='object-section-inline-details'>`pyearthtools.pipeline` Data Pipeline</div><div class='object-section-inline-details'></div></li></div><ul class='object-sections'><li class='object-section-item'><input id='section-7e0854ec-ef72-4b52-97f3-a38dcb305020' class='object-section-summary-in' type='checkbox'  checked><label for='section-7e0854ec-ef72-4b52-97f3-a38dcb305020' class='object-section-summary' >Initialisation:</label><div class='object-section-inline-details'></div><div class='object-section-inline-details'></div><div class='object-section-details'><ul class='object-var-list'><li class='object-var-item'><div class='object-var-name'><span>exceptions_to_ignore</span></div><div class='object-var-preview object-preview'>None</div><input id='data-1f907b8f-84f0-41c9-a956-ab340eb6031a' class='object-var-data-in' type='checkbox'><label for='data-1f907b8f-84f0-41c9-a956-ab340eb6031a' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>None</div></li><li class='object-var-item'><div class='object-var-name'><span>iterator</span></div><div class='object-var-preview object-preview'>None</div><input id='data-7e5d5087-a6f1-4a3d-9248-50f7ce6448e8' class='object-var-data-in' type='checkbox'><label for='data-7e5d5087-a6f1-4a3d-9248-50f7ce6448e8' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>None</div></li><li class='object-var-item'><div class='object-var-name'><span>sampler</span></div><div class='object-var-preview object-preview'>None</div><input id='data-c5aa6f39-2b9d-440b-9f9c-672b66593551' class='object-var-data-in' type='checkbox'><label for='data-c5aa6f39-2b9d-440b-9f9c-672b66593551' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>None</div></li></ul></div></li><li class='object-section-item'><input id='section-9198d8c2-da42-482d-a9ac-777f6b57bc69' class='object-section-summary-in' type='checkbox'  checked><label for='section-9198d8c2-da42-482d-a9ac-777f6b57bc69' class='object-section-summary' >Steps:</label><div class='object-section-inline-details'></div><div class='object-section-inline-details'></div><div class='object-section-details'><ul class='object-var-list'><li class='object-var-item'><div class='object-var-name'><span>Himawari</span></div><div class='object-var-preview object-preview'>{&#x27;Himawari&#x27;: {&#x27;data_interval&#x27;: (10, &#x27;m&#x27;), &#x27;file_regex&#x27;: &#x27;*{date_info}*{time_info}*.nc&#x27;, &#x27;variables&#x27;: [&#x27;surface_global_irradiance&#x27;]}}</div><input id='data-35e49d5b-29a7-475a-befc-3d35270c3fcb' class='object-var-data-in' type='checkbox'><label for='data-35e49d5b-29a7-475a-befc-3d35270c3fcb' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>Himawari : {'data_interval': (10, 'm'), 'file_regex': '*{date_info}*{time_info}*.nc', 'variables': ['surface_global_irradiance']}</div></li><li class='object-var-item'><div class='object-var-name'><span>ACCESS.ACCESS_Analysis</span></div><div class='object-var-preview object-preview'>{&#x27;ACCESS_Analysis&#x27;: {&#x27;data_interval&#x27;: (6, &#x27;h&#x27;), &#x27;datatype&#x27;: &#x27;an&#x27;, &#x27;level_value&#x27;: None, &#x27;region&#x27;: &#x27;g&#x27;, &#x27;variables&#x27;: [&#x27;sfc/mslp&#x27;]}}</div><input id='data-d9eaea10-d606-40b0-bf13-7cdf83401eb6' class='object-var-data-in' type='checkbox'><label for='data-d9eaea10-d606-40b0-bf13-7cdf83401eb6' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>ACCESS_Analysis : {'data_interval': (6, 'h'), 'datatype': 'an', 'level_value': None, 'region': 'g', 'variables': ['sfc/mslp']}</div></li><li class='object-var-item'><div class='object-var-name'><span>join.InterpLike</span></div><div class='object-var-preview object-preview'>{&#x27;InterpLike&#x27;: {&#x27;merge_kwargs&#x27;: None, &#x27;reference_dataset&#x27;: &lt;xarray.DataArray &#x27;mslp&#x27; (latitude: 295, longitude: 252)&gt; Size: 297kB\n",
+       "dask.array&lt;getitem, shape=(295, 252), dtype=float32, chunksize=(295, 252), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "    time       datetime64[ns] 8B 2021-06-09T06:00:00\n",
+       "  * latitude   (latitude) float32 1kB -10.02 -10.14 -10.25 ... -44.36 -44.47\n",
+       "  * longitude  (longitude) float32 1kB 112.1 112.2 112.4 ... 155.8 156.0 156.2\n",
+       "Attributes:\n",
+       "    grid_type:   spatial\n",
+       "    level_type:  single\n",
+       "    units:       Pa\n",
+       "    long_name:   mean sea level pressure\n",
+       "    stash_code:  16222\n",
+       "    accum_type:  instantaneous}}</div><input id='data-e95befb9-5782-4b53-8eb4-dd6ee3d4d255' class='object-var-data-in' type='checkbox'><label for='data-e95befb9-5782-4b53-8eb4-dd6ee3d4d255' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>InterpLike : {'merge_kwargs': None, 'reference_dataset': <xarray.DataArray 'mslp' (latitude: 295, longitude: 252)> Size: 297kB\n",
+       "dask.array<getitem, shape=(295, 252), dtype=float32, chunksize=(295, 252), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "    time       datetime64[ns] 8B 2021-06-09T06:00:00\n",
+       "  * latitude   (latitude) float32 1kB -10.02 -10.14 -10.25 ... -44.36 -44.47\n",
+       "  * longitude  (longitude) float32 1kB 112.1 112.2 112.4 ... 155.8 156.0 156.2\n",
+       "Attributes:\n",
+       "    grid_type:   spatial\n",
+       "    level_type:  single\n",
+       "    units:       Pa\n",
+       "    long_name:   mean sea level pressure\n",
+       "    stash_code:  16222\n",
+       "    accum_type:  instantaneous}</div></li><li class='object-var-item'><div class='object-var-name'><span>RadarDemo</span></div><div class='object-var-preview object-preview'>{&#x27;RadarDemo&#x27;: {&#x27;variables&#x27;: &#x27;RAIN&#x27;}}</div><input id='data-93e9f9ca-688d-44cb-8a85-494b8ccf6541' class='object-var-data-in' type='checkbox'><label for='data-93e9f9ca-688d-44cb-8a85-494b8ccf6541' title='Show/Hide data repr'><svg class='icon object-icon-storm'><use xlink:href='#icon-storm'></use></svg></label><div class='object-var-data'>RadarDemo : {'variables': 'RAIN'}</div></li></ul></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h2>Graph</h2>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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+       "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
+       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
+       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
+       "<!-- Generated by graphviz version 2.40.1 (0)\n",
+       " -->\n",
+       "<!-- Title: %3 Pages: 1 -->\n",
+       "<svg width=\"372pt\" height=\"188pt\"\n",
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+       "</g>\n",
+       "<!-- PipelineBranchPoint_080df05e&#45;e144&#45;4e57&#45;b248&#45;d5d2fd5df425 -->\n",
+       "<g id=\"node3\" class=\"node\">\n",
+       "<title>PipelineBranchPoint_080df05e&#45;e144&#45;4e57&#45;b248&#45;d5d2fd5df425</title>\n",
+       "<polygon fill=\"none\" stroke=\"#000000\" points=\"105,-108 24.2282,-90 105,-72 185.7718,-90 105,-108\"/>\n",
+       "<text text-anchor=\"middle\" x=\"105\" y=\"-86.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">Branch Point</text>\n",
+       "</g>\n",
+       "<!-- Himawari_2c1fe9e4&#45;013b&#45;43d6&#45;b370&#45;064b8c618775&#45;&gt;PipelineBranchPoint_080df05e&#45;e144&#45;4e57&#45;b248&#45;d5d2fd5df425 -->\n",
+       "<g id=\"edge1\" class=\"edge\">\n",
+       "<title>Himawari_2c1fe9e4&#45;013b&#45;43d6&#45;b370&#45;064b8c618775&#45;&gt;PipelineBranchPoint_080df05e&#45;e144&#45;4e57&#45;b248&#45;d5d2fd5df425</title>\n",
+       "<path fill=\"none\" stroke=\"#000000\" d=\"M52.664,-143.8314C61.9591,-134.2706 73.4367,-122.4651 83.2727,-112.3481\"/>\n",
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+       "<g id=\"node4\" class=\"node\">\n",
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+       "<g id=\"edge3\" class=\"edge\">\n",
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+       "<g id=\"node5\" class=\"node\">\n",
+       "<title>RadarDemo_5a3e744e&#45;bc0a&#45;4867&#45;a77f&#45;6d430c7acee9</title>\n",
+       "<polygon fill=\"none\" stroke=\"#000000\" points=\"363.5,-180 280.5,-180 280.5,-144 363.5,-144 363.5,-180\"/>\n",
+       "<text text-anchor=\"middle\" x=\"322\" y=\"-158.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">RadarDemo</text>\n",
+       "</g>\n",
+       "</g>\n",
+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<graphviz.graphs.Digraph at 0x1498de49a290>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pipe = petpipe.Pipeline(\n",
+    "    (himawari, access_g),\n",
+    "    (petpipe.operations.xarray.join.InterpLike(sample_mslp[0]), radar)\n",
+    ")\n",
+    "pipe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "663e607d-2793-457e-9b12-f8a89069a9aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "sample = pipe[doi]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "6d7c9bd3-17d7-4063-9bc3-8a4745a73b35",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
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+       "\n",
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+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
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+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --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 !important;\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",
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+       "\n",
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+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 894kB\n",
+       "Dimensions:                    (time: 1, latitude: 295, longitude: 252)\n",
+       "Coordinates:\n",
+       "  * time                       (time) datetime64[ns] 8B 2021-06-09T06:00:00\n",
+       "  * latitude                   (latitude) float32 1kB -10.02 -10.14 ... -44.47\n",
+       "  * longitude                  (longitude) float32 1kB 112.1 112.2 ... 156.2\n",
+       "Data variables:\n",
+       "    surface_global_irradiance  (time, latitude, longitude) float64 595kB dask.array&lt;chunksize=(1, 295, 252), meta=np.ndarray&gt;\n",
+       "    mslp                       (time, latitude, longitude) float32 297kB dask.array&lt;chunksize=(1, 295, 252), meta=np.ndarray&gt;\n",
+       "Attributes: (12/58)\n",
+       "    Conventions:                      CF-1.7\n",
+       "    Metadata_Conventions:             Unidata Dataset Discovery v1.0\n",
+       "    acknowledgment:                   The following acknowledgement is requir...\n",
+       "    cdm_data_type:                    grid\n",
+       "    comment:                          Solar radiation data derived from satel...\n",
+       "    contributor_name:                 Mines ParisTech; Commonwealth of Austra...\n",
+       "    ...                               ...\n",
+       "    quality:                          0\n",
+       "    quality_meaning:                  0: no_known_issues 1: known_issue \n",
+       "    project:                          Gridded Solar Observations\n",
+       "    history:                          Mon Mar  4 01:55:13 2024: ncatted -a re...\n",
+       "    references:                       Poulsen C., Majewski L. J. (2022) Gridd...\n",
+       "    NCO:                              netCDF Operators version 4.7.7 (Homepag...</pre><div class='xr-wrap' style='display:none'><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-43056fe2-33da-4aa4-a28c-468ab0233da9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43056fe2-33da-4aa4-a28c-468ab0233da9' 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'>time</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 295</li><li><span class='xr-has-index'>longitude</span>: 252</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-19d966b2-d5c5-4da2-b887-d2dcc93755ae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-19d966b2-d5c5-4da2-b887-d2dcc93755ae' 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'>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'>2021-06-09T06:00:00</div><input id='attrs-3b88eb74-c5a8-4902-8794-19c41b56d472' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b88eb74-c5a8-4902-8794-19c41b56d472' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6344c5c-5372-4b54-85d7-99fc87a01221' class='xr-var-data-in' type='checkbox'><label for='data-a6344c5c-5372-4b54-85d7-99fc87a01221' 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>comment :</span></dt><dd>Start time of the corresponding satellite observation period</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-06-09T06:00:00.000000000&#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'>float32</div><div class='xr-var-preview xr-preview'>-10.02 -10.14 ... -44.36 -44.47</div><input id='attrs-0fbd7a7f-3398-4899-8909-ff53fa802dc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fbd7a7f-3398-4899-8909-ff53fa802dc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d7a4a56-d05a-4b66-9d21-1ce1375ec039' class='xr-var-data-in' type='checkbox'><label for='data-9d7a4a56-d05a-4b66-9d21-1ce1375ec039' 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>latitudes</dd><dt><span>type :</span></dt><dd>uniform</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-10.019531, -10.136719, -10.253906, ..., -44.23828 , -44.35547 ,\n",
+       "       -44.472656], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>112.1 112.2 112.4 ... 156.0 156.2</div><input id='attrs-a64bcd51-a59b-454a-91ba-1bf4e4c05c41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a64bcd51-a59b-454a-91ba-1bf4e4c05c41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77ced41c-bbd2-4486-8262-0a7d8c69916f' class='xr-var-data-in' type='checkbox'><label for='data-77ced41c-bbd2-4486-8262-0a7d8c69916f' 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>longitudes</dd><dt><span>type :</span></dt><dd>uniform</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>360.0</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([112.06055, 112.23633, 112.41211, ..., 155.83008, 156.00586, 156.18164],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa29d5e4-1480-4e75-b075-52df56875616' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa29d5e4-1480-4e75-b075-52df56875616' class='xr-section-summary' >Data variables: <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>surface_global_irradiance</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 295, 252), meta=np.ndarray&gt;</div><input id='attrs-cd6fd2c6-c88f-4958-aa9b-a69f1ccc4062' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd6fd2c6-c88f-4958-aa9b-a69f1ccc4062' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-227e1119-90df-43c9-a834-4e087195858f' class='xr-var-data-in' type='checkbox'><label for='data-227e1119-90df-43c9-a834-4e087195858f' 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>surface_downwelling_shortwave_flux_in_air</dd><dt><span>long_name :</span></dt><dd>Total horizontal solar irradiance at surface with bias correction applied</dd><dt><span>comment :</span></dt><dd>Bias correction has been applied. Surface downwelling shortwave is the sum of direct and diffuse solar radiation incident on the surface, and is sometimes called &quot;global radiation&quot;</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>140000</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 580.78 kiB </td>\n",
+       "                        <td> 580.78 kiB </td>\n",
+       "                    </tr>\n",
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+       "                        <td> (1, 295, 252) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 19 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mslp</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'>dask.array&lt;chunksize=(1, 295, 252), meta=np.ndarray&gt;</div><input id='attrs-a3cf59d6-85b4-4ad2-b76c-40f8024e241f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3cf59d6-85b4-4ad2-b76c-40f8024e241f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b831239a-87cc-47d4-b291-152616293a85' class='xr-var-data-in' type='checkbox'><label for='data-b831239a-87cc-47d4-b291-152616293a85' 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>grid_type :</span></dt><dd>spatial</dd><dt><span>level_type :</span></dt><dd>single</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>mean sea level pressure</dd><dt><span>stash_code :</span></dt><dd>16222</dd><dt><span>accum_type :</span></dt><dd>instantaneous</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-50e0c8e2-9c8b-4ed8-91c6-5d750dec4d93' class='xr-section-summary-in' type='checkbox'  ><label for='section-50e0c8e2-9c8b-4ed8-91c6-5d750dec4d93' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-74c8a762-5de7-4977-89ae-bcb7b33cd7fa' class='xr-index-data-in' type='checkbox'/><label for='index-74c8a762-5de7-4977-89ae-bcb7b33cd7fa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2021-06-09 06:00:00&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-142da47e-d78b-4851-9573-c359751689c2' class='xr-index-data-in' type='checkbox'/><label for='index-142da47e-d78b-4851-9573-c359751689c2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-10.01953125, -10.13671875, -10.25390625, -10.37109375, -10.48828125,\n",
+       "       -10.60546875, -10.72265625, -10.83984375, -10.95703125, -11.07421875,\n",
+       "       ...\n",
+       "       -43.41796875, -43.53515625, -43.65234375, -43.76953125, -43.88671875,\n",
+       "       -44.00390625, -44.12109375, -44.23828125, -44.35546875, -44.47265625],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=295))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ef78c246-64cb-428c-ad97-4ec2a5060c4b' class='xr-index-data-in' type='checkbox'/><label for='index-ef78c246-64cb-428c-ad97-4ec2a5060c4b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([112.060546875, 112.236328125, 112.412109375, 112.587890625,\n",
+       "       112.763671875, 112.939453125, 113.115234375, 113.291015625,\n",
+       "       113.466796875, 113.642578125,\n",
+       "       ...\n",
+       "       154.599609375, 154.775390625, 154.951171875, 155.126953125,\n",
+       "       155.302734375, 155.478515625, 155.654296875, 155.830078125,\n",
+       "       156.005859375, 156.181640625],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=252))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0e0992c-9202-4277-a551-c662fb0ed8da' class='xr-section-summary-in' type='checkbox'  ><label for='section-d0e0992c-9202-4277-a551-c662fb0ed8da' class='xr-section-summary' >Attributes: <span>(58)</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-1.7</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>acknowledgment :</span></dt><dd>The following acknowledgement is required &quot;Solar radiation data derived from satellite imagery processed by the Bureau of Meteorology from the geostationary satellite Himawari-8 operated by the Japan Meteorological Agency using Heliosat-4 software provided by Mines ParisTech. Contains modified Copernicus Atmosphere Monitoring Service Information 2021.&quot;</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>comment :</span></dt><dd>Solar radiation data derived from satellite imagery processed by the Bureau of Meteorology from the geostationary satellite Himawari-8 operated by the Japan Meteorological Agency using Heliosat-4 software provided by Mines ParisTech</dd><dt><span>contributor_name :</span></dt><dd>Mines ParisTech; Commonwealth of Australia, Bureau of Meteorology, Science and Innovation, Research, Weather and Environmental Prediction, Satellite Applications; Commonwealth of Australia, Bureau of Meteorology, Data and Digital, Digital Services, Business Solutions Services</dd><dt><span>contributor_role :</span></dt><dd>Development; Development; Operations</dd><dt><span>creator_email :</span></dt><dd>sat_support@bom.gov.au</dd><dt><span>creator_name :</span></dt><dd>Commonwealth of Australia, Bureau of Meteorology, Data and Digital, Digital Services, Business Solutions Services</dd><dt><span>creator_url :</span></dt><dd>http://www.bom.gov.au/satellite/</dd><dt><span>disclaimer :</span></dt><dd>You are solely responsible for your use of this information and you accept all risks and consequences that might arise from your use of this information.\n",
+       "The Bureau of Meteorology (&#x27;Bureau&#x27;) is not in any way liable for losses, damages, costs, expenses and liability of any kind that you or any other person may suffer or incur directly or indirectly from you using this information. This information: is subject to the uncertainties of scientific and technical research; may not be accurate, current or complete; is subject to change without notice. Please refer to http://www.bom.gov.au/other/disclaimer.shtml for disclaimer details.\n",
+       "Neither the European Commission nor ECMWF is responsible for any use that may be made of the information it contains.</dd><dt><span>geospatial_lat_units :</span></dt><dd>degree_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degree_east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0</dd><dt><span>geospatial_vertical_units :</span></dt><dd>km</dd><dt><span>id :</span></dt><dd>ABOM_HS4_SSI_P1S_GRID_v1.0</dd><dt><span>institution :</span></dt><dd>ABOM</dd><dt><span>instrument :</span></dt><dd>AHI</dd><dt><span>keywords :</span></dt><dd>EARTH SCIENCE</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>license :</span></dt><dd>Unless provided under a different license by the Bureau of Meteorology, this information in this data file is provided under the CC BY-NC 4.0 International Licence.\n",
+       "The CC BY-NC 4.0 International (Creative Commons Attribution Non-Commercial CC BY-NC v.4.0 international) license summary may be found here: [ https://creativecommons.org/licenses/by-nc/4.0/]. The full license text may be found here: [ https://creativecommons.org/licenses/by-nc/4.0/legalcode ].\n",
+       "For commercial use, please contact Bureau of Meteorology Climate Data Services at climatedata@bom.gov.au</dd><dt><span>naming_authority :</span></dt><dd>au.gov.bom</dd><dt><span>platform :</span></dt><dd>Himawari-8</dd><dt><span>processing_level :</span></dt><dd>L3</dd><dt><span>processing_version :</span></dt><dd>heliosat-4</dd><dt><span>product_specification :</span></dt><dd>ABOM_HS4_SSI_P1S_GRID_v1.0</dd><dt><span>product_suite :</span></dt><dd>ABOM_HS4_SSI</dd><dt><span>product_version :</span></dt><dd>v1.1</dd><dt><span>publisher_email :</span></dt><dd>sat_support@bom.gov.au</dd><dt><span>publisher_name :</span></dt><dd>Commonwealth of Australia, Bureau of Meteorology, Data and Digital, Digital Services, Business Solutions Services</dd><dt><span>publisher_url :</span></dt><dd>http://www.bom.gov.au/satellite</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.7</dd><dt><span>summary :</span></dt><dd>Solar radiation data derived from satellite imagery processed by the Bureau of Meteorology from the geostationary satellite Himawari-8 operated by the Japan Meteorological Agency using Heliosat-4 software provided by Mines ParisTech. Contains modified Copernicus Atmosphere Monitoring Service Information 2021.</dd><dt><span>time_coverage_duration :</span></dt><dd>P1S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1S</dd><dt><span>title :</span></dt><dd>Heliosat-4 Solar Radiation - Instantaneous</dd><dt><span>geospatial_lat_max :</span></dt><dd>-9.99</dd><dt><span>geospatial_lat_min :</span></dt><dd>-44.51</dd><dt><span>geospatial_lon_max :</span></dt><dd>156.26999999999998</dd><dt><span>geospatial_lon_min :</span></dt><dd>111.99</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.02</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.02</dd><dt><span>time_coverage_start :</span></dt><dd>20210609T060556Z</dd><dt><span>time_coverage_end :</span></dt><dd>20210609T060835Z</dd><dt><span>source :</span></dt><dd>IDY25006.APS3.all-flds.slv.2021060900.006.surface.grb2; IDY25006.APS3.all-flds.slv.2021060900.009.surface.grb2; gfs_4_20210609_0000_006.grb2; gfs_4_20210609_0600_006.grb2; CAMS-CLIM; S_NWC_HS4C_HIMA08_HIMA-N-NR_20210609T060000Z.h5; S_NWC_HS4S_HIMA08_HIMA-N-NR_20210609T060000Z.h5; model_BC_ghi_clear_ACCESS_CAMS-CLIM_all01_all12_60_30_1_10; model_BC_ghi_cloud_ACCESS_CAMS-CLIM_all01_all12_60_30_1_10; model_BC_dni_cloud_ACCESS_CAMS-CLIM_all01_all12_60_30_1_10; model_BC_dni_cloud_ACCESS_CAMS-CLIM_all01_all12_60_30_1_10</dd><dt><span>uuid :</span></dt><dd>538d58e4-9ef3-4901-8f0a-0154a3dade3b</dd><dt><span>date_created :</span></dt><dd>20211219T225111Z</dd><dt><span>bias_correction_applied :</span></dt><dd>1</dd><dt><span>bias_correction_applied_meaning :</span></dt><dd>0: not applied; 1:applied</dd><dt><span>quality :</span></dt><dd>0</dd><dt><span>quality_meaning :</span></dt><dd>0: no_known_issues 1: known_issue </dd><dt><span>project :</span></dt><dd>Gridded Solar Observations</dd><dt><span>history :</span></dt><dd>Mon Mar  4 01:55:13 2024: ncatted -a references,global,o,c,Poulsen C., Majewski L. J. (2022) Gridded satellite solar observations Project: Implementation of Heliosat-4 and application of bias correction, Australian Bureau of Meteorology, Melbourne, Victoria.\n",
+       "\n",
+       "Qu A., Oumbe A., Blanc P., Espinar B., Gesell G., et al. (2017) Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method. Meteorologische Zeitschrift, v26, p33-57. 10.1127/metz/2016/0781 . hal-01512589 /g/data/rv74/satellite-products/arc/der/himawari-ahi/solar/p1s/v1.1/2021/06/09/IDE00326.202106090600.nc\n",
+       "Mon Mar  4 00:54:18 2024: ncatted -a references,global,a,c,Poulsen C., Majewski L. J. (2022) Gridded satellite solar observations Project: Implementation of Heliosat-4 and application of bias correction, Australian Bureau of Meteorology, Melbourne, Victoria.\n",
+       "\n",
+       "Qu A., Oumbe A., Blanc P., Espinar B., Gesell G., et al. (2017) Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method. Meteorologische Zeitschrift, v26, p33-57. 10.1127/metz/2016/0781 . hal-01512589 /g/data/rv74/satellite-products/arc/der/himawari-ahi/solar/p1s/v1.1/2021/06/09/IDE00326.202106090600.nc\n",
+       "heliosat-4; post_process_p1s.py</dd><dt><span>references :</span></dt><dd>Poulsen C., Majewski L. J. (2022) Gridded satellite solar observations Project: Implementation of Heliosat-4 and application of bias correction, Australian Bureau of Meteorology, Melbourne, Victoria.\n",
+       "\n",
+       "Qu A., Oumbe A., Blanc P., Espinar B., Gesell G., et al. (2017) Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method. Meteorologische Zeitschrift, v26, p33-57. 10.1127/metz/2016/0781 . hal-01512589</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.7.7 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 894kB\n",
+       "Dimensions:                    (time: 1, latitude: 295, longitude: 252)\n",
+       "Coordinates:\n",
+       "  * time                       (time) datetime64[ns] 8B 2021-06-09T06:00:00\n",
+       "  * latitude                   (latitude) float32 1kB -10.02 -10.14 ... -44.47\n",
+       "  * longitude                  (longitude) float32 1kB 112.1 112.2 ... 156.2\n",
+       "Data variables:\n",
+       "    surface_global_irradiance  (time, latitude, longitude) float64 595kB dask.array<chunksize=(1, 295, 252), meta=np.ndarray>\n",
+       "    mslp                       (time, latitude, longitude) float32 297kB dask.array<chunksize=(1, 295, 252), meta=np.ndarray>\n",
+       "Attributes: (12/58)\n",
+       "    Conventions:                      CF-1.7\n",
+       "    Metadata_Conventions:             Unidata Dataset Discovery v1.0\n",
+       "    acknowledgment:                   The following acknowledgement is requir...\n",
+       "    cdm_data_type:                    grid\n",
+       "    comment:                          Solar radiation data derived from satel...\n",
+       "    contributor_name:                 Mines ParisTech; Commonwealth of Austra...\n",
+       "    ...                               ...\n",
+       "    quality:                          0\n",
+       "    quality_meaning:                  0: no_known_issues 1: known_issue \n",
+       "    project:                          Gridded Solar Observations\n",
+       "    history:                          Mon Mar  4 01:55:13 2024: ncatted -a re...\n",
+       "    references:                       Poulsen C., Majewski L. J. (2022) Gridd...\n",
+       "    NCO:                              netCDF Operators version 4.7.7 (Homepag..."
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sample[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "5f50c0f3-33b2-415b-b051-68b1353f55fc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --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 !important;\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 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\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:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0);\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-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\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",
+       ".xr-index-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",
+       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-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",
+       ".xr-no-icon {\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; Size: 68kB\n",
+       "Dimensions:                     (y: 128, x: 128)\n",
+       "Coordinates:\n",
+       "  * x                           (x) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "  * y                           (y) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "    ProjectionCoordinateSystem  int32 4B ...\n",
+       "    projection                  int32 4B ...\n",
+       "Data variables:\n",
+       "    RAIN                        (y, x) float32 66kB dask.array&lt;chunksize=(128, 128), meta=np.ndarray&gt;\n",
+       "Attributes: (12/13)\n",
+       "    radar_name:          \n",
+       "    nradar:              1\n",
+       "    Conventions:         CF/Radial instrument_parameters\n",
+       "    version:             H5rad 2.2\n",
+       "    title:               \n",
+       "    institution:         \n",
+       "    ...                  ...\n",
+       "    source:              RAD:AU71,PLC:T/Hills,CTY:500,STN:66210\n",
+       "    history:             \n",
+       "    comment:             \n",
+       "    instrument_name:     \n",
+       "    original_container:  odim_h5\n",
+       "    odim_conventions:    ODIM_H5/V2_2</pre><div class='xr-wrap' style='display:none'><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-66976729-848d-43f5-bca4-7ef597aa9627' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-66976729-848d-43f5-bca4-7ef597aa9627' 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'>y</span>: 128</li><li><span class='xr-has-index'>x</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bae69e9f-ba48-42cf-a171-d6fbc7c632c0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bae69e9f-ba48-42cf-a171-d6fbc7c632c0' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.27e+05 -1.25e+05 ... 1.27e+05</div><input id='attrs-f2807cc4-d501-4297-8903-4ccb45d099b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2807cc4-d501-4297-8903-4ccb45d099b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2122c88b-3009-47f2-8aee-6bf3b84f8bd1' class='xr-var-data-in' type='checkbox'><label for='data-2122c88b-3009-47f2-8aee-6bf3b84f8bd1' 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([-127000., -125000., -123000., -121000., -119000., -117000., -115000.,\n",
+       "       -113000., -111000., -109000., -107000., -105000., -103000., -101000.,\n",
+       "        -99000.,  -97000.,  -95000.,  -93000.,  -91000.,  -89000.,  -87000.,\n",
+       "        -85000.,  -83000.,  -81000.,  -79000.,  -77000.,  -75000.,  -73000.,\n",
+       "        -71000.,  -69000.,  -67000.,  -65000.,  -63000.,  -61000.,  -59000.,\n",
+       "        -57000.,  -55000.,  -53000.,  -51000.,  -49000.,  -47000.,  -45000.,\n",
+       "        -43000.,  -41000.,  -39000.,  -37000.,  -35000.,  -33000.,  -31000.,\n",
+       "        -29000.,  -27000.,  -25000.,  -23000.,  -21000.,  -19000.,  -17000.,\n",
+       "        -15000.,  -13000.,  -11000.,   -9000.,   -7000.,   -5000.,   -3000.,\n",
+       "         -1000.,    1000.,    3000.,    5000.,    7000.,    9000.,   11000.,\n",
+       "         13000.,   15000.,   17000.,   19000.,   21000.,   23000.,   25000.,\n",
+       "         27000.,   29000.,   31000.,   33000.,   35000.,   37000.,   39000.,\n",
+       "         41000.,   43000.,   45000.,   47000.,   49000.,   51000.,   53000.,\n",
+       "         55000.,   57000.,   59000.,   61000.,   63000.,   65000.,   67000.,\n",
+       "         69000.,   71000.,   73000.,   75000.,   77000.,   79000.,   81000.,\n",
+       "         83000.,   85000.,   87000.,   89000.,   91000.,   93000.,   95000.,\n",
+       "         97000.,   99000.,  101000.,  103000.,  105000.,  107000.,  109000.,\n",
+       "        111000.,  113000.,  115000.,  117000.,  119000.,  121000.,  123000.,\n",
+       "        125000.,  127000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.27e+05 -1.25e+05 ... 1.27e+05</div><input id='attrs-898997b8-70b8-4109-b89b-db22ac25b765' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-898997b8-70b8-4109-b89b-db22ac25b765' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-251ab5af-7d82-44a9-b64b-5c58dbac0ae7' class='xr-var-data-in' type='checkbox'><label for='data-251ab5af-7d82-44a9-b64b-5c58dbac0ae7' 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([-127000., -125000., -123000., -121000., -119000., -117000., -115000.,\n",
+       "       -113000., -111000., -109000., -107000., -105000., -103000., -101000.,\n",
+       "        -99000.,  -97000.,  -95000.,  -93000.,  -91000.,  -89000.,  -87000.,\n",
+       "        -85000.,  -83000.,  -81000.,  -79000.,  -77000.,  -75000.,  -73000.,\n",
+       "        -71000.,  -69000.,  -67000.,  -65000.,  -63000.,  -61000.,  -59000.,\n",
+       "        -57000.,  -55000.,  -53000.,  -51000.,  -49000.,  -47000.,  -45000.,\n",
+       "        -43000.,  -41000.,  -39000.,  -37000.,  -35000.,  -33000.,  -31000.,\n",
+       "        -29000.,  -27000.,  -25000.,  -23000.,  -21000.,  -19000.,  -17000.,\n",
+       "        -15000.,  -13000.,  -11000.,   -9000.,   -7000.,   -5000.,   -3000.,\n",
+       "         -1000.,    1000.,    3000.,    5000.,    7000.,    9000.,   11000.,\n",
+       "         13000.,   15000.,   17000.,   19000.,   21000.,   23000.,   25000.,\n",
+       "         27000.,   29000.,   31000.,   33000.,   35000.,   37000.,   39000.,\n",
+       "         41000.,   43000.,   45000.,   47000.,   49000.,   51000.,   53000.,\n",
+       "         55000.,   57000.,   59000.,   61000.,   63000.,   65000.,   67000.,\n",
+       "         69000.,   71000.,   73000.,   75000.,   77000.,   79000.,   81000.,\n",
+       "         83000.,   85000.,   87000.,   89000.,   91000.,   93000.,   95000.,\n",
+       "         97000.,   99000.,  101000.,  103000.,  105000.,  107000.,  109000.,\n",
+       "        111000.,  113000.,  115000.,  117000.,  119000.,  121000.,  123000.,\n",
+       "        125000.,  127000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ProjectionCoordinateSystem</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a3cf617-b521-4e09-b040-c69494c9eb7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a3cf617-b521-4e09-b040-c69494c9eb7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-104a808e-eeb5-4619-8cf6-c82cb0cd4076' class='xr-var-data-in' type='checkbox'><label for='data-104a808e-eeb5-4619-8cf6-c82cb0cd4076' 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>latitude_of_projection_origin :</span></dt><dd>-33.700801849365234</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>151.20899963378906</dd><dt><span>_CoordinateTransformType :</span></dt><dd>Projection</dd><dt><span>_CoordinateAxes :</span></dt><dd>x y z time</dd><dt><span>_CoordinateAxesTypes :</span></dt><dd>GeoX GeoY Height Time</dd><dt><span>grid_mapping_name :</span></dt><dd>azimuthal_equidistant</dd><dt><span>semi_major_axis :</span></dt><dd>6370997.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.25</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f88745d7-2447-44af-a56b-a0f19fe7a989' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f88745d7-2447-44af-a56b-a0f19fe7a989' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90c899dd-a1d9-48d5-9747-a037156ff41f' class='xr-var-data-in' type='checkbox'><label for='data-90c899dd-a1d9-48d5-9747-a037156ff41f' 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>proj :</span></dt><dd>pyart_aeqd</dd><dt><span>_include_lon_0_lat_0 :</span></dt><dd>true</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b931fdc3-ee84-4d95-a1cc-cdea0a80c26f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b931fdc3-ee84-4d95-a1cc-cdea0a80c26f' class='xr-section-summary' >Data variables: <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>RAIN</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(128, 128), meta=np.ndarray&gt;</div><input id='attrs-a520342a-501b-401a-8b99-931204093328' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a520342a-501b-401a-8b99-931204093328' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86e5550d-020e-4532-8fe2-ee34128abb78' class='xr-var-data-in' type='checkbox'><label for='data-86e5550d-020e-4532-8fe2-ee34128abb78' 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>rain_rate</dd><dt><span>long_name :</span></dt><dd>Radar estimated rain rate</dd><dt><span>grid_mapping :</span></dt><dd>proj</dd><dt><span>units :</span></dt><dd>mm h-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 64.00 kiB </td>\n",
+       "                        <td> 64.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (128, 128) </td>\n",
+       "                        <td> (128, 128) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >128</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">128</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-a36fe963-1205-4a6d-bd78-1bc039511536' class='xr-section-summary-in' type='checkbox'  ><label for='section-a36fe963-1205-4a6d-bd78-1bc039511536' class='xr-section-summary' >Indexes: <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-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-3a955f78-88b2-4055-8894-e63e0c9e134d' class='xr-index-data-in' type='checkbox'/><label for='index-3a955f78-88b2-4055-8894-e63e0c9e134d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-127000.0, -125000.0, -123000.0, -121000.0, -119000.0, -117000.0,\n",
+       "       -115000.0, -113000.0, -111000.0, -109000.0,\n",
+       "       ...\n",
+       "        109000.0,  111000.0,  113000.0,  115000.0,  117000.0,  119000.0,\n",
+       "        121000.0,  123000.0,  125000.0,  127000.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=128))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-54b3670e-58c7-4d2d-8dd8-53f1734efeb2' class='xr-index-data-in' type='checkbox'/><label for='index-54b3670e-58c7-4d2d-8dd8-53f1734efeb2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-127000.0, -125000.0, -123000.0, -121000.0, -119000.0, -117000.0,\n",
+       "       -115000.0, -113000.0, -111000.0, -109000.0,\n",
+       "       ...\n",
+       "        109000.0,  111000.0,  113000.0,  115000.0,  117000.0,  119000.0,\n",
+       "        121000.0,  123000.0,  125000.0,  127000.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=128))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aea76751-d463-41bf-ac66-ec1518526e48' class='xr-section-summary-in' type='checkbox'  ><label for='section-aea76751-d463-41bf-ac66-ec1518526e48' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>radar_name :</span></dt><dd></dd><dt><span>nradar :</span></dt><dd>1</dd><dt><span>Conventions :</span></dt><dd>CF/Radial instrument_parameters</dd><dt><span>version :</span></dt><dd>H5rad 2.2</dd><dt><span>title :</span></dt><dd></dd><dt><span>institution :</span></dt><dd></dd><dt><span>references :</span></dt><dd></dd><dt><span>source :</span></dt><dd>RAD:AU71,PLC:T/Hills,CTY:500,STN:66210</dd><dt><span>history :</span></dt><dd></dd><dt><span>comment :</span></dt><dd></dd><dt><span>instrument_name :</span></dt><dd></dd><dt><span>original_container :</span></dt><dd>odim_h5</dd><dt><span>odim_conventions :</span></dt><dd>ODIM_H5/V2_2</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 68kB\n",
+       "Dimensions:                     (y: 128, x: 128)\n",
+       "Coordinates:\n",
+       "  * x                           (x) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "  * y                           (y) float64 1kB -1.27e+05 -1.25e+05 ... 1.27e+05\n",
+       "    ProjectionCoordinateSystem  int32 4B ...\n",
+       "    projection                  int32 4B ...\n",
+       "Data variables:\n",
+       "    RAIN                        (y, x) float32 66kB dask.array<chunksize=(128, 128), meta=np.ndarray>\n",
+       "Attributes: (12/13)\n",
+       "    radar_name:          \n",
+       "    nradar:              1\n",
+       "    Conventions:         CF/Radial instrument_parameters\n",
+       "    version:             H5rad 2.2\n",
+       "    title:               \n",
+       "    institution:         \n",
+       "    ...                  ...\n",
+       "    source:              RAD:AU71,PLC:T/Hills,CTY:500,STN:66210\n",
+       "    history:             \n",
+       "    comment:             \n",
+       "    instrument_name:     \n",
+       "    original_container:  odim_h5\n",
+       "    odim_conventions:    ODIM_H5/V2_2"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sample[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1c637ff6-5a3a-4028-a012-faa37b51aefc",
+   "metadata": {},
+   "outputs": [],
    "source": []
   }
  ],
diff --git a/packages/pipeline/src/pyearthtools/pipeline/controller.py b/packages/pipeline/src/pyearthtools/pipeline/controller.py
index 52ee5f71..d8a850f9 100644
--- a/packages/pipeline/src/pyearthtools/pipeline/controller.py
+++ b/packages/pipeline/src/pyearthtools/pipeline/controller.py
@@ -592,6 +592,7 @@ def undo(self, sample):
     @property
     def iteration_order(self) -> tuple[Any, ...]:
         """Get ordering from `iterator`"""
+
         if self.iterator is None:
             raise ValueError("Cannot iterate over pipeline if iterator is not set.")
         return tuple(i for i in self.iterator)
diff --git a/packages/pipeline/src/pyearthtools/pipeline/operations/xarray/join.py b/packages/pipeline/src/pyearthtools/pipeline/operations/xarray/join.py
index a9c2098b..2a0d1578 100644
--- a/packages/pipeline/src/pyearthtools/pipeline/operations/xarray/join.py
+++ b/packages/pipeline/src/pyearthtools/pipeline/operations/xarray/join.py
@@ -13,6 +13,7 @@
 # limitations under the License.
 
 
+from functools import reduce
 from typing import TypeVar, Union, Optional, Any
 
 import xarray as xr
@@ -43,6 +44,32 @@ def join(self, sample: tuple[Union[xr.Dataset, xr.DataArray], ...]) -> xr.Datase
     def unjoin(self, sample: Any) -> tuple:
         return super().unjoin(sample)
 
+class InterpLike(Joiner):
+    """
+    Merge a tuple of xarray object's.
+
+    Currently cannot undo this operation
+    """
+
+    _override_interface = "Serial"
+
+    def __init__(self, reference_dataset=None, merge_kwargs: Optional[dict[str, Any]] = None):
+        super().__init__()
+        self.record_initialisation()
+        self.reference_dataset = reference_dataset
+        self._merge_kwargs = merge_kwargs
+
+    def join(self, sample: tuple[Union[xr.Dataset, xr.DataArray], ...]) -> xr.Dataset:
+        """Join sample"""
+        # merged = reduce(lambda a, b: a.interp_like(b), sample)
+        reference = self.reference_dataset
+        interped = [i.interp_like(reference) for i in sample]
+        merged = xr.merge(interped)
+        return merged
+
+    def unjoin(self, sample: Any) -> tuple:
+        raise NotImplementedError("Not Implemented")
+
 
 class Concatenate(Joiner):
     """