{ "cells": [ { "cell_type": "markdown", "id": "eecd1d2c-6b93-428e-8a60-5800274da618", "metadata": {}, "source": [ "## ESA CCI Toolbox Vector Data Access\n", "\n", "The ESA CCI Toolbox also provides access to data that is not provided on a structured grid. This data is provided in the form of geopandas geodataframes rather than xarray datasets.\n", "\n", "To run this Notebook, make sure the ESA CCI Toolbox is setup correctly." ] }, { "cell_type": "markdown", "id": "cb14d9ac-8491-410d-a836-c554dae785c7", "metadata": {}, "source": [ "For this notebook, we start as before, by opening the standard `esa-cci` data store." ] }, { "cell_type": "code", "execution_count": 1, "id": "c8835695-30f4-49aa-9a83-bd83f66db59e", "metadata": { "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":106: FutureWarning: xarray subclass VectorDataCube should explicitly define __slots__\n" ] } ], "source": [ "from xcube.core.store import new_data_store\n", "\n", "cci_store = new_data_store('esa-cci')" ] }, { "cell_type": "markdown", "id": "50f9dd64-758d-4c2e-8793-d34b7e2e3bb2", "metadata": {}, "source": [ "The data in question are GHG, SEALEVEL, and SEAICE datasets in `satellite-orbit-frequency`. Let's search for GHG datasets." ] }, { "cell_type": "code", "execution_count": 2, "id": "07789554-f0be-47b0-941b-ec4c8825134e", "metadata": { "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Dataset is not accessible via Opendap or Download\n", "Dataset is not accessible via Opendap or Download\n", "Dataset is not accessible via Opendap or Download\n", "/home/tonio-bc/projects/esa-cci/xcube-cci/xcube_cci/cciodp.py:1960: CciOdpWarning: Variable \"gain\" has no fill value, cannot set one. For parts where no data is available you will see random values. This is usually the case when data is missing for a time step.\n", " warnings.warn(f'Variable \"{fixed_key}\" has no fill value, '\n", "/home/tonio-bc/projects/esa-cci/xcube-cci/xcube_cci/cciodp.py:1960: CciOdpWarning: Variable \"l1b_name\" has no fill value, cannot set one. For parts where no data is available you will see random values. This is usually the case when data is missing for a time step.\n", " warnings.warn(f'Variable \"{fixed_key}\" has no fill value, '\n", "/home/tonio-bc/projects/esa-cci/xcube-cci/xcube_cci/cciodp.py:1960: CciOdpWarning: Variable \"exposure_id\" has no fill value, cannot set one. For parts where no data is available you will see random values. This is usually the case when data is missing for a time step.\n", " warnings.warn(f'Variable \"{fixed_key}\" has no fill value, '\n" ] }, { "data": { "text/plain": [ "['esacci.GHG.satellite-orbit-frequency.L2.CH4.SCIAMACHY.Envisat.IMAP.v7-2.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CH4.SCIAMACHY.Envisat.WFMD.v4-0.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS-2.GOSAT-2.SRFP.v2-0-2.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS-2.GOSAT-2.SRPR.v2-0-2.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.EMMA.ch4_v1-2.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.OCFP.v2-1.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.OCPR.v7-0.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.SRFP.v2-3-8.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.SRPR.v2-3-8.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CH4.TROPOMI.Sentinel-5P.WFMD.v1-8.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CO2.OCO.OCO-2.FOCAL.v10-1.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CO2.SCIAMACHY.Envisat.BESD.v02-01-02.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CO2.SCIAMACHY.Envisat.WFMD.v4-0.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CO2.TANSO-FTS-2.GOSAT-2.SRFP.v2-0-2.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CO2.TANSO-FTS.GOSAT.EMMA.v2-2c.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CO2.TANSO-FTS.GOSAT.OCFP.v7-0-1.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CO2.TANSO-FTS.GOSAT.SRFP.v2-3-8.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CO2.multi-sensor.multi-platform.EMMA.v2-2a.r1',\n", " 'esacci.GHG.satellite-orbit-frequency.L2.CO2.multi-sensor.multi-platform.EMMA.v2-2b.r1']" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "descriptors = cci_store.search_data(\n", " data_type=\"geodataframe\",\n", " cci_attrs=dict(\n", " ecv=\"GHG\"\n", " )\n", ")\n", "[descriptor.data_id for descriptor in descriptors]" ] }, { "cell_type": "markdown", "id": "e173a52c-e49c-4d8a-9980-7a56191fe853", "metadata": {}, "source": [ "We have a closer look at the first one." ] }, { "cell_type": "code", "execution_count": 3, "id": "053694e7-f5e8-439e-838a-cee50bbc9573", "metadata": { "tags": [] }, "outputs": [ { "data": { "application/json": { "bbox": [ -180, -90, 180, 90 ], "crs": "WGS84", "data_id": "esacci.GHG.satellite-orbit-frequency.L2.CH4.SCIAMACHY.Envisat.IMAP.v7-2.r1", "data_type": "geodataframe", "feature_schema": { "additionalProperties": false, "properties": { "ch4_profile_apriori": { "properties": {}, "type": "object" }, "chi2_ch4": { "properties": {}, "type": "object" }, "chi2_co2": { "properties": {}, "type": "object" }, "dry_airmass_layer": { "properties": {}, "type": "object" }, "geometry": { "pattern": "POINT(* *)", "type": "string" }, "h2o_ecmwf": { "properties": {}, "type": "object" }, "pressure_levels": { "properties": {}, "type": "object" }, "pressure_weight": { "properties": {}, "type": "object" }, "sensor_zenith_angle": { "properties": {}, "type": "object" }, "solar_zenith_angle": { "properties": {}, "type": "object" }, "surface_elevation": { "properties": {}, "type": "object" }, "surface_temperature": { "properties": {}, "type": "object" }, "time": { "format": "date", "type": "string" }, "xch4": { "properties": {}, "type": "object" }, "xch4_averaging_kernel": { "properties": {}, "type": "object" }, "xch4_prior": { "properties": {}, "type": "object" }, "xch4_quality_flag": { "properties": {}, "type": "object" }, "xch4_raw": { "properties": {}, "type": "object" }, "xch4_uncertainty": { "properties": {}, "type": "object" }, "xch4_v71": { "properties": {}, "type": "object" }, "xco2_CT2015": { "properties": {}, "type": "object" }, "xco2_macc": { "properties": {}, "type": "object" }, "xco2_prior": { "properties": {}, "type": "object" }, "xco2_retrieved": { "properties": {}, "type": "object" } }, "type": "object" }, "open_params_schema": { "additionalProperties": false, "properties": { "bbox": { "items": [ { "maximum": 180, "minimum": -180, "type": "number" }, { "maximum": 90, "minimum": -90, "type": "number" }, { "maximum": 180, "minimum": -180, "type": "number" }, { "maximum": 90, "minimum": -90, "type": "number" } ], "type": "array" }, "time_range": { "items": [ { "format": "date", "maxDate": "2012-04-08", "minDate": "2003-01-08", "type": "string" }, { "format": "date", "maxDate": "2012-04-08", "minDate": "2003-01-08", "type": "string" } ], "type": "array" }, "variable_names": { "items": { "enum": [ "solar_zenith_angle", "sensor_zenith_angle", "pressure_levels", "pressure_weight", "xch4_raw", "xch4", "h2o_ecmwf", "xch4_prior", "xco2_prior", "xco2_retrieved", "xch4_uncertainty", "xch4_averaging_kernel", "ch4_profile_apriori", "xch4_quality_flag", "dry_airmass_layer", "surface_elevation", "surface_temperature", "chi2_ch4", "chi2_co2", "xco2_macc", "xco2_CT2015", "xch4_v71" ], "type": "string" }, "type": "array" } }, "type": "object" }, "time_range": [ "2003-01-08", "2012-04-08" ] }, "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "descriptors[0]" ] }, { "cell_type": "markdown", "id": "53507a23-45cb-4742-b9d8-90cd2b748984", "metadata": {}, "source": [ "It makes sense to not open the whole dataframe but read in a subset. We ask for two variables for one day (the variable names are listed under feature_schema:properties)." ] }, { "cell_type": "code", "execution_count": 4, "id": "197f8ff6-46f0-490f-a1a2-4539cc47fa92", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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geometryxch4xco2_retrievedtime
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" ], "text/plain": [ " geometry xch4 xco2_retrieved \\\n", "0 POINT (21.12531 66.15704) 1835.639282 350.589783 \n", "1 POINT (17.33319 54.23273) 1848.246216 350.940857 \n", "2 POINT (21.32617 53.16351) 1834.837891 361.529053 \n", "3 POINT (17.02777 53.6568) 1767.532104 357.012085 \n", "4 POINT (15.31268 53.61804) 1846.445312 384.051636 \n", "... ... ... ... \n", "3546 POINT (176.04736 62.59637) 1756.709839 379.857666 \n", "3547 POINT (173.65729 62.86865) 1774.327759 357.646545 \n", "3548 POINT (174.71912 62.44507) 1805.762573 374.800110 \n", "3549 POINT (173.18512 62.00031) 1841.642090 350.549011 \n", "3550 POINT (171.62189 61.54938) 1752.140625 350.487610 \n", "\n", " time \n", "0 2010-07-04T00:00:00 \n", "1 2010-07-04T00:00:00 \n", "2 2010-07-04T00:00:00 \n", "3 2010-07-04T00:00:00 \n", "4 2010-07-04T00:00:00 \n", "... ... \n", "3546 2010-07-04T00:00:00 \n", "3547 2010-07-04T00:00:00 \n", "3548 2010-07-04T00:00:00 \n", "3549 2010-07-04T00:00:00 \n", "3550 2010-07-04T00:00:00 \n", "\n", "[3551 rows x 4 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "var_names = [\"xch4\", \"xco2_retrieved\"]\n", "time_range = [\"2010-07-04\", \"2010-07-04\"]\n", "\n", "ghg_df = cci_store.open_data(\n", " \"esacci.GHG.satellite-orbit-frequency.L2.CH4.SCIAMACHY.Envisat.IMAP.v7-2.r1\",\n", " variable_names=var_names,\n", " time_range=time_range\n", ")\n", "ghg_df" ] }, { "cell_type": "code", "execution_count": 5, "id": "15953de4-80fb-4259-b2b5-75cad75c5ee8", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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