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October 9, 2021 00:25
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An example notebook for loading noaa-oisst-avhrr-only-feedstock@1.0 via s3.
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| {"cells": [{"cell_type": "code", "execution_count": 1, "id": "7d04caad-94f6-4f07-af33-ab7a057bc87e", "metadata": {"execution": {"iopub.execute_input": "2021-10-09T00:25:34.424413Z", "iopub.status.busy": "2021-10-09T00:25:34.423938Z", "iopub.status.idle": "2021-10-09T00:25:35.201623Z", "shell.execute_reply": "2021-10-09T00:25:35.201145Z"}, "papermill": {"duration": 0.798736, "end_time": "2021-10-09T00:25:35.201743", "exception": false, "start_time": "2021-10-09T00:25:34.403007", "status": "completed"}, "tags": ["parameters"]}, "outputs": [], "source": ["import pystac\n", "import fsspec\n", "import xarray as xr\n", "\n", "assert int(pystac.__version__[0]) == 1, \"pystac version must be >= 1.0.0\""]}, {"cell_type": "code", "execution_count": 2, "id": "cc7388d2", "metadata": {"execution": {"iopub.execute_input": "2021-10-09T00:25:35.222996Z", "iopub.status.busy": "2021-10-09T00:25:35.222488Z", "iopub.status.idle": "2021-10-09T00:25:35.225719Z", "shell.execute_reply": "2021-10-09T00:25:35.225138Z"}, "papermill": {"duration": 0.014993, "end_time": "2021-10-09T00:25:35.225844", "exception": false, "start_time": "2021-10-09T00:25:35.210851", "status": "completed"}, "tags": ["injected-parameters"]}, "outputs": [], "source": ["# Parameters\n", "path = \"https://ncsa.osn.xsede.org/Pangeo/pangeo-forge/stac/noaa-oisst-avhrr-only-feedstock@1.0.json\"\n"]}, {"cell_type": "code", "execution_count": 3, "id": "4feaf842-2152-43ce-8a0c-8990066140f8", "metadata": {"execution": {"iopub.execute_input": "2021-10-09T00:25:35.254396Z", "iopub.status.busy": "2021-10-09T00:25:35.253901Z", "iopub.status.idle": "2021-10-09T00:25:35.772759Z", "shell.execute_reply": "2021-10-09T00:25:35.772339Z"}, "papermill": {"duration": 0.53675, "end_time": "2021-10-09T00:25:35.772872", "exception": false, "start_time": "2021-10-09T00:25:35.236122", "status": "completed"}, "tags": []}, "outputs": [], "source": ["item = pystac.read_file(path)\n", "asset = item.assets[\"zarr-s3\"]\n", "store = fsspec.get_mapper(asset.href, **asset.extra_fields[\"xarray:storage_options\"])"]}, {"cell_type": "code", "execution_count": 4, "id": "413fe01a-ac6d-470d-8e50-2dca9a3bf8e1", "metadata": {"execution": {"iopub.execute_input": "2021-10-09T00:25:35.794983Z", "iopub.status.busy": "2021-10-09T00:25:35.794395Z", "iopub.status.idle": "2021-10-09T00:25:43.598057Z", "shell.execute_reply": "2021-10-09T00:25:43.598486Z"}, "papermill": {"duration": 7.816232, "end_time": "2021-10-09T00:25:43.598615", "exception": false, "start_time": "2021-10-09T00:25:35.782383", "status": "completed"}, "tags": []}, "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 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dt:hover {\n", " overflow: visible;\n", " width: auto;\n", " z-index: 1;\n", "}\n", "\n", ".xr-var-attrs,\n", ".xr-var-data {\n", " display: none;\n", " background-color: var(--xr-background-color) !important;\n", " padding-bottom: 5px !important;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", ".xr-var-data-in:checked ~ .xr-var-data {\n", " display: block;\n", "}\n", "\n", ".xr-var-data > table {\n", " float: right;\n", "}\n", "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-attrs {\n", " padding-left: 25px !important;\n", "}\n", "\n", ".xr-attrs,\n", ".xr-var-attrs,\n", ".xr-var-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", "dl.xr-attrs {\n", " padding: 0;\n", " margin: 0;\n", " display: grid;\n", " grid-template-columns: 125px auto;\n", "}\n", "\n", ".xr-attrs dt,\n", ".xr-attrs dd {\n", " padding: 0;\n", " margin: 0;\n", " float: left;\n", " padding-right: 10px;\n", " width: auto;\n", "}\n", "\n", ".xr-attrs dt {\n", " font-weight: normal;\n", " grid-column: 1;\n", "}\n", "\n", ".xr-attrs dt:hover span {\n", " display: inline-block;\n", " background: var(--xr-background-color);\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-attrs dd {\n", " grid-column: 2;\n", " white-space: pre-wrap;\n", " word-break: break-all;\n", "}\n", "\n", ".xr-icon-database,\n", ".xr-icon-file-text2 {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", " height: 1.5em !important;\n", " stroke-width: 0;\n", " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", "Dimensions: (time: 14532, zlev: 1, lat: 720, lon: 1440)\n", "Coordinates:\n", " * lat (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n", " * lon (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n", " * time (time) datetime64[ns] 1981-09-01T12:00:00 ... 2021-06-14T12:00:00\n", " * zlev (zlev) float32 0.0\n", "Data variables:\n", " anom (time, zlev, lat, lon) float32 dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray>\n", " err (time, zlev, lat, lon) float32 dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray>\n", " ice (time, zlev, lat, lon) float32 dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray>\n", " sst (time, zlev, lat, lon) float32 dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray>\n", "Attributes: (12/37)\n", " Conventions: CF-1.6, ACDD-1.3\n", " cdm_data_type: Grid\n", " comment: Data was converted from NetCDF-3 to NetCDF-4 ...\n", " creator_email: oisst-help@noaa.gov\n", " creator_url: https://www.ncei.noaa.gov/\n", " date_created: 2020-05-08T19:05:13Z\n", " ... ...\n", " source: ICOADS, NCEP_GTS, GSFC_ICE, NCEP_ICE, Pathfin...\n", " standard_name_vocabulary: CF Standard Name Table (v40, 25 January 2017)\n", " summary: NOAAs 1/4-degree Daily Optimum Interpolation ...\n", " time_coverage_end: 1981-09-01T23:59:59Z\n", " time_coverage_start: 1981-09-01T00:00:00Z\n", " title: NOAA/NCEI 1/4 Degree Daily Optimum Interpolat...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-39107660-cda0-45c6-b684-f51121ae84f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-39107660-cda0-45c6-b684-f51121ae84f8' 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>: 14532</li><li><span class='xr-has-index'>zlev</span>: 1</li><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d1411a8e-b963-4e9a-a495-82c3bdf22023' class='xr-section-summary-in' type='checkbox' checked><label for='section-d1411a8e-b963-4e9a-a495-82c3bdf22023' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-4407ed61-dc51-46a2-bd57-62464b23a93f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4407ed61-dc51-46a2-bd57-62464b23a93f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-070e0fed-4a5e-4051-ae59-0462a3840500' class='xr-var-data-in' type='checkbox'><label for='data-070e0fed-4a5e-4051-ae59-0462a3840500' 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>grids :</span></dt><dd>Uniform grid from -89.875 to 89.875 by 0.25</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ..., 89.375, 89.625, 89.875],\n", " dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-34c1bcf9-e5c1-44c5-94a2-86d05d50e88e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34c1bcf9-e5c1-44c5-94a2-86d05d50e88e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75d25415-73bf-4085-835a-14bf647e8413' class='xr-var-data-in' type='checkbox'><label for='data-75d25415-73bf-4085-835a-14bf647e8413' 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>grids :</span></dt><dd>Uniform grid from 0.125 to 359.875 by 0.25</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n", " 3.59875e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-09-01T12:00:00 ... 2021-06-...</div><input id='attrs-112e35eb-c6df-4c2d-97b3-b71d44ef6253' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-112e35eb-c6df-4c2d-97b3-b71d44ef6253' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e79a6773-9d98-424c-9c49-cca312fb4ca6' class='xr-var-data-in' type='checkbox'><label for='data-e79a6773-9d98-424c-9c49-cca312fb4ca6' 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>Center time of the day</dd></dl></div><div class='xr-var-data'><pre>array(['1981-09-01T12:00:00.000000000', '1981-09-02T12:00:00.000000000',\n", " '1981-09-03T12:00:00.000000000', ..., '2021-06-12T12:00:00.000000000',\n", " '2021-06-13T12:00:00.000000000', '2021-06-14T12:00:00.000000000'],\n", " dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zlev</span></div><div class='xr-var-dims'>(zlev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-a8c6aecc-9028-4c5a-bad7-23fe712859e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8c6aecc-9028-4c5a-bad7-23fe712859e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84db185f-17e8-449c-a8d2-0605e103e1d8' class='xr-var-data-in' type='checkbox'><label for='data-84db185f-17e8-449c-a8d2-0605e103e1d8' 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>actual_range :</span></dt><dd>0, 0</dd><dt><span>long_name :</span></dt><dd>Sea surface height</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d1a8a21-ebb2-4f0c-9740-ea34636807e1' class='xr-section-summary-in' type='checkbox' checked><label for='section-9d1a8a21-ebb2-4f0c-9740-ea34636807e1' class='xr-section-summary' >Data variables: <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>anom</span></div><div class='xr-var-dims'>(time, zlev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray></div><input id='attrs-2b60fc4f-9a2c-4a71-9ed1-9d98628bfb14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b60fc4f-9a2c-4a71-9ed1-9d98628bfb14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fd1d901-4e3e-4a31-919b-a23e40bc75b9' class='xr-var-data-in' type='checkbox'><label for='data-1fd1d901-4e3e-4a31-919b-a23e40bc75b9' 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>Daily sea surface temperature anomalies</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>valid_max :</span></dt><dd>1200</dd><dt><span>valid_min :</span></dt><dd>-1200</dd></dl></div><div class='xr-var-data'><table>\n", " <tr>\n", " <td>\n", " <table>\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> 56.13 GiB </td>\n", " <td> 79.10 MiB </td>\n", " </tr>\n", " \n", " <tr>\n", " <th> Shape </th>\n", " <td> (14532, 1, 720, 1440) </td>\n", " <td> (20, 1, 720, 1440) </td>\n", " </tr>\n", " <tr>\n", " <th> Count </th>\n", " <td> 728 Tasks </td>\n", " <td> 727 Chunks </td>\n", " </tr>\n", " <tr>\n", " <th> Type </th>\n", " <td> float32 </td>\n", " <td> numpy.ndarray </td>\n", " </tr>\n", " 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y2=\"25\" />\n", " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", " <line x1=\"116\" y1=\"0\" x2=\"116\" y2=\"25\" />\n", " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", "\n", " <!-- Text -->\n", " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >14532</text>\n", " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n", "\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"190\" y1=\"0\" x2=\"204\" y2=\"14\" style=\"stroke-width:2\" />\n", " <line x1=\"190\" y1=\"34\" x2=\"204\" y2=\"49\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"190\" y1=\"0\" x2=\"190\" y2=\"34\" 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text-anchor=\"middle\" transform=\"rotate(45,187.474299,61.919436)\">1</text>\n", "</svg>\n", " </td>\n", " </tr>\n", "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err</span></div><div class='xr-var-dims'>(time, zlev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray></div><input id='attrs-47202883-7113-4208-bcec-8e23d6e4b7bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47202883-7113-4208-bcec-8e23d6e4b7bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad7b12ef-a4ea-41e9-bf33-2c5862bfc661' class='xr-var-data-in' type='checkbox'><label for='data-ad7b12ef-a4ea-41e9-bf33-2c5862bfc661' 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>Estimated error standard deviation of analysed_sst</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>valid_max :</span></dt><dd>1000</dd><dt><span>valid_min :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n", " <tr>\n", " <td>\n", " <table>\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> 56.13 GiB </td>\n", " <td> 79.10 MiB </td>\n", " </tr>\n", " \n", " <tr>\n", " <th> Shape </th>\n", " <td> (14532, 1, 720, 1440) </td>\n", " <td> (20, 1, 720, 1440) </td>\n", " </tr>\n", " <tr>\n", " <th> Count </th>\n", " <td> 728 Tasks </td>\n", " <td> 727 Chunks </td>\n", " </tr>\n", " <tr>\n", " <th> Type </th>\n", " <td> float32 </td>\n", " <td> numpy.ndarray </td>\n", " </tr>\n", " </tbody>\n", " </table>\n", " </td>\n", " <td>\n", " <svg width=\"483\" height=\"99\" 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=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", " <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n", " <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n", " <line x1=\"11\" y1=\"0\" x2=\"11\" y2=\"25\" />\n", " <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n", " <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n", " <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n", " <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n", " <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n", " <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n", " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", " <line x1=\"41\" y1=\"0\" x2=\"41\" y2=\"25\" />\n", " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"25\" />\n", " <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"25\" />\n", " <line x1=\"52\" y1=\"0\" x2=\"52\" y2=\"25\" />\n", " <line x1=\"56\" y1=\"0\" x2=\"56\" y2=\"25\" />\n", " <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"25\" />\n", " <line x1=\"63\" y1=\"0\" x2=\"63\" y2=\"25\" />\n", " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", " <line x1=\"71\" y1=\"0\" x2=\"71\" y2=\"25\" />\n", " <line x1=\"74\" y1=\"0\" x2=\"74\" y2=\"25\" />\n", " <line x1=\"78\" y1=\"0\" x2=\"78\" y2=\"25\" />\n", " <line x1=\"82\" y1=\"0\" x2=\"82\" y2=\"25\" />\n", " <line x1=\"86\" y1=\"0\" x2=\"86\" y2=\"25\" />\n", " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"25\" />\n", " <line x1=\"93\" y1=\"0\" x2=\"93\" y2=\"25\" />\n", " <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n", " <line x1=\"101\" y1=\"0\" x2=\"101\" y2=\"25\" />\n", " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", " <line x1=\"108\" y1=\"0\" x2=\"108\" y2=\"25\" />\n", " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", " <line 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"</svg>\n", " </td>\n", " </tr>\n", "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice</span></div><div class='xr-var-dims'>(time, zlev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray></div><input id='attrs-86ee7af4-b681-4ec6-9dfa-cd26f67e114e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86ee7af4-b681-4ec6-9dfa-cd26f67e114e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83642a51-a430-42b1-bbb5-aeb176e0a04a' class='xr-var-data-in' type='checkbox'><label for='data-83642a51-a430-42b1-bbb5-aeb176e0a04a' 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>Sea ice concentration</dd><dt><span>units 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class='xr-var-dims'>(time, zlev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray></div><input id='attrs-e1325239-ecd2-4e21-b5b0-a936817f4b1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1325239-ecd2-4e21-b5b0-a936817f4b1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddc20d64-0bc9-498d-881f-e512272c2201' class='xr-var-data-in' type='checkbox'><label for='data-ddc20d64-0bc9-498d-881f-e512272c2201' 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>Daily sea surface temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>valid_max :</span></dt><dd>4500</dd><dt><span>valid_min :</span></dt><dd>-300</dd></dl></div><div 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for='section-9652e042-6910-4790-85a7-7e3bfa9dbd8a' class='xr-section-summary' >Attributes: <span>(37)</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-1.6, ACDD-1.3</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>comment :</span></dt><dd>Data was converted from NetCDF-3 to NetCDF-4 format with metadata updates in November 2017.</dd><dt><span>creator_email :</span></dt><dd>oisst-help@noaa.gov</dd><dt><span>creator_url :</span></dt><dd>https://www.ncei.noaa.gov/</dd><dt><span>date_created :</span></dt><dd>2020-05-08T19:05:13Z</dd><dt><span>date_modified :</span></dt><dd>2020-05-08T19:05:13Z</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>360.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>history :</span></dt><dd>Final file created using preliminary as first guess, and 3 days of AVHRR data. Preliminary uses only 1 day of AVHRR data.</dd><dt><span>id :</span></dt><dd>oisst-avhrr-v02r01.19810901.nc</dd><dt><span>institution :</span></dt><dd>NOAA/National Centers for Environmental Information</dd><dt><span>instrument :</span></dt><dd>Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > AVHRR > Advanced Very High Resolution Radiometer</dd><dt><span>instrument_vocabulary :</span></dt><dd>Global Change Master Directory (GCMD) Instrument Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>Global Change Master Directory (GCMD) Earth Science Keywords</dd><dt><span>metadata_link :</span></dt><dd>https://doi.org/10.25921/RE9P-PT57</dd><dt><span>naming_authority :</span></dt><dd>gov.noaa.ncei</dd><dt><span>ncei_template_version :</span></dt><dd>NCEI_NetCDF_Grid_Template_v2.0</dd><dt><span>platform :</span></dt><dd>Ships, buoys, Argo floats, MetOp-A, MetOp-B</dd><dt><span>platform_vocabulary :</span></dt><dd>Global Change Master Directory (GCMD) Platform Keywords</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>product_version :</span></dt><dd>Version v02r01</dd><dt><span>references :</span></dt><dd>Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder AVHRR SST and Navy AVHRR SST. Ice data: NCEP Ice and GSFC Ice.</dd><dt><span>sensor :</span></dt><dd>Thermometer, AVHRR</dd><dt><span>source :</span></dt><dd>ICOADS, NCEP_GTS, GSFC_ICE, NCEP_ICE, Pathfinder_AVHRR, Navy_AVHRR</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>summary :</span></dt><dd>NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version v02r01, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (AVHRR) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs. A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002</dd><dt><span>time_coverage_end :</span></dt><dd>1981-09-01T23:59:59Z</dd><dt><span>time_coverage_start :</span></dt><dd>1981-09-01T00:00:00Z</dd><dt><span>title :</span></dt><dd>NOAA/NCEI 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Final</dd></dl></div></li></ul></div></div>"], "text/plain": ["<xarray.Dataset>\n", "Dimensions: (time: 14532, zlev: 1, lat: 720, lon: 1440)\n", "Coordinates:\n", " * lat (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n", " * lon (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n", " * time (time) datetime64[ns] 1981-09-01T12:00:00 ... 2021-06-14T12:00:00\n", " * zlev (zlev) float32 0.0\n", "Data variables:\n", " anom (time, zlev, lat, lon) float32 dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray>\n", " err (time, zlev, lat, lon) float32 dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray>\n", " ice (time, zlev, lat, lon) float32 dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray>\n", " sst (time, zlev, lat, lon) float32 dask.array<chunksize=(20, 1, 720, 1440), meta=np.ndarray>\n", "Attributes: (12/37)\n", " Conventions: CF-1.6, ACDD-1.3\n", " cdm_data_type: Grid\n", " comment: Data was converted from NetCDF-3 to NetCDF-4 ...\n", " creator_email: oisst-help@noaa.gov\n", " creator_url: https://www.ncei.noaa.gov/\n", " date_created: 2020-05-08T19:05:13Z\n", " ... ...\n", " source: ICOADS, NCEP_GTS, GSFC_ICE, NCEP_ICE, Pathfin...\n", " standard_name_vocabulary: CF Standard Name Table (v40, 25 January 2017)\n", " summary: NOAAs 1/4-degree Daily Optimum Interpolation ...\n", " time_coverage_end: 1981-09-01T23:59:59Z\n", " time_coverage_start: 1981-09-01T00:00:00Z\n", " title: NOAA/NCEI 1/4 Degree Daily Optimum Interpolat..."]}, "execution_count": 4, "metadata": {}, "output_type": "execute_result"}], "source": ["ds = xr.open_zarr(store, **asset.extra_fields[\"xarray:open_kwargs\"])\n", "ds"]}], "metadata": {"kernelspec": {"display_name": "pfo-poetry", "language": "python", "name": "pfo-poetry"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.12"}, "papermill": {"default_parameters": {}, "duration": 11.046771, "end_time": "2021-10-09T00:25:43.924436", "environment_variables": {}, "exception": null, "input_path": "/Users/charlesstern1/Dropbox/pangeo/pangeo-forge-orchestrator/pangeo_forge_orchestrator/templates/jupyter/s3_loading_template.ipynb", "output_path": "noaa-oisst-avhrr-only-feedstock@1.0_via_s3.ipynb", "parameters": {"path": "https://ncsa.osn.xsede.org/Pangeo/pangeo-forge/stac/noaa-oisst-avhrr-only-feedstock@1.0.json"}, "start_time": "2021-10-09T00:25:32.877665", "version": "2.3.3"}}, "nbformat": 4, "nbformat_minor": 5} |
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