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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColor8Day/request | public | ESA CCI Ocean Colour Product (CCI ALL-v5.0-8DAY), 0.04166666°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithmsthrough SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_560 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., sr-1)\nRrs_665 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm., sr-1)\nwater_class1 (Mean of normalised water class 1 membership over the compositing period)\nwater_class2 (Mean of normalised water class 2 membership over the compositing period)\nwater_class3 (Mean of normalised water class 3 membership over the compositing period)\n... (83 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI50OceanColor8Day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColor8Day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColor8Day/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColor8Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColor8Day&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI50OceanColor8Day | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorMonthly | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorMonthly.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColorMonthly/request | public | ESA CCI Ocean Colour Product (CCI ALL-v5.0-MONTHLY), 0.04166666°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithmsthrough SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_560 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., sr-1)\nRrs_665 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm., sr-1)\nwater_class1 (Mean of normalised water class 1 membership over the compositing period)\nwater_class2 (Mean of normalised water class 2 membership over the compositing period)\nwater_class3 (Mean of normalised water class 3 membership over the compositing period)\n... (83 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI50OceanColorMonthly_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColorMonthly_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColorMonthly/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColorMonthly.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColorMonthly&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI50OceanColorMonthly | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor5Day | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor5Day.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColor5Day/request | public | ESA CCI Ocean Colour Product (CCI ALL-v6.0-5DAY), 0.041666668°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 5 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30; at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithms through SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (86 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColor5Day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColor5Day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColor5Day/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColor5Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColor5Day&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI60OceanColor5Day | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor8Day | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor8Day.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColor8Day/request | public | ESA CCI Ocean Colour Product (CCI ALL-v6.0-8DAY), 0.041666668°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30; at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithms through SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (86 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColor8Day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColor8Day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColor8Day/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColor8Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColor8Day&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI60OceanColor8Day | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorDaily | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorDaily.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColorDaily/request | public | ESA CCI Ocean Colour Product (CCI ALL-v6.0-DAILY), 0.041666668°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30; at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithms through SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nMERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)\nMODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)\nOLCI_A_nobs (Count of the number of observations from the OLCI (Sentinel-3a) sensor contributing to this bin cell)\nOLCI_B_nobs (Count of the number of observations from the OLCI (Sentinel-3b) sensor contributing to this bin cell)\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\n... (86 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColorDaily_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColorDaily_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColorDaily/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColorDaily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColorDaily&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI60OceanColorDaily | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorMonthly | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorMonthly.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColorMonthly/request | public | ESA CCI Ocean Colour Product (CCI ALL-v6.0-MONTHLY), 0.041666668°, 1997-2022 | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30; at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithms through SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (86 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColorMonthly_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColorMonthly_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColorMonthly/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColorMonthly.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColorMonthly&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI60OceanColorMonthly | |||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailySP06 | https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailySP06.graph | public | Ice Concentration, Daily, GCOM-W1 AMSR2, Antarctic, 10km, NRT, Past 3 Weeks | This dataset is a level 3, daily, 10km, polar stereographic mapped composite of sea ice concentration using data from the GCOM-1 satellite AMSR-2 microwave sensor.\n These L3 composites are generated from level 2 data provided by NOAA OSPO; NOGAPS algorithm developed by NOAA STAR (Paul Chang, Lead).\n NOAA CoastWatch obtains L2 from OSPO and generates a L3 daily merged (composite) and maps to polar stereographic projection for routine distribution.\n The OSPO/STAR L2 product uses the GCOM-W1 AMSR-2 Algorithm Software Processor (GAASP) which takes the full orbital JAXA L1B data via NASA, applies brightness temperature bias corrections, assigns an RFI flag, performs internal reformatting, and then generates L2 products from the NOAA Operational GCOM-W1 AMSR-2 Products System Algorithm (NOGAPS).\n Platform/Sensor Details: The second Advanced Microwave Scanning Radiometer 2 (AMSR-2) on JAXA's Global Climate Observation Mission - Water 1 (GCOM-W1).\n Temporal coverage: Daily composites and 4-day rolling merge composites are produced daily with a latency of 12-24 hours.\n The composites have a 10 km spatial resolution and are mapped to Polar Stereographic projections for South Pole. The AMSR-2 Microwave sensor is not impacted by clouds and serves as a full coverage dataset that supplements the NOAA VIIRS infra-red 750m data.\n This L3 dataset is originally served on the STAR THREDDS server, PolarWatch connects to the dataset via the STAR ERDDAP server.\n For more information on the dataset and access servers visit: https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceConc (NASA Team 2 Ice Concentration (Fraction), 1)\nFlags (Quality Flags, 1)\ngraphics (graphics overlay planes)\n
| https://polarwatch.noaa.gov/erddap/info/noaacwAMSR2gw1IceConcDailySP06/index.htmlTable | https://www.star.nesdis.noaa.gov/thredds/dodsC/AMSR2gw1IceConcDailyAggSP06.html
| https://polarwatch.noaa.gov/erddap/rss/noaacwAMSR2gw1IceConcDailySP06.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwAMSR2gw1IceConcDailySP06&showErrors=false&email= | DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA | noaacwAMSR2gw1IceConcDailySP06 | ||||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailyNP06 | https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailyNP06.graph | public | Ice Concentration, Daily, GCOM-W1 AMSR2, Arctic, 10km, NRT, Past 3 Weeks | This dataset is a level 3, daily, 10km, polar stereographic mapped composite of sea ice concentration using data from the GCOM-1 satellite AMSR-2 microwave sensor.\n These L3 composites are generated from level 2 data provided by NOAA OSPO; NOGAPS algorithm developed by NOAA STAR (Paul Chang, Lead).\n NOAA CoastWatch obtains L2 from OSPO and generates a L3 daily merged (composite) and maps to polar stereographic projection for routine distribution.\n The OSPO/STAR L2 product uses the GCOM-W1 AMSR-2 Algorithm Software Processor (GAASP) which takes the full orbital JAXA L1B data via NASA, applies brightness temperature bias corrections, assigns an RFI flag, performs internal reformatting, and then generates L2 products from the NOAA Operational GCOM-W1 AMSR-2 Products System Algorithm (NOGAPS).\n Platform/Sensor Details: The second Advanced Microwave Scanning Radiometer 2 (AMSR-2) on JAXA's Global Climate Observation Mission - Water 1 (GCOM-W1).\n Temporal coverage: Daily composites and 4-day rolling merge composites are produced daily with a latency of 12-24 hours.\n The composites have a 10 km spatial resolution and are mapped to Polar Stereographic projections for North Pole. The AMSR-2 Microwave sensor is not impacted by clouds and serves as a full coverage dataset that supplements the NOAA VIIRS infra-red 750m data.\n This L3 dataset is originally served on the STAR THREDDS server, PolarWatch connects to the dataset via the STAR ERDDAP server.\n For more information on the dataset and access servers visit: https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceConc (NASA Team 2 Ice Concentration (Fraction) - primary product, 1)\nFlags (Quality Flags, 1)\ngraphics (graphics overlay planes)\n
| https://polarwatch.noaa.gov/erddap/info/noaacwAMSR2gw1IceConcDailyNP06/index.htmlTable | https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html
| https://polarwatch.noaa.gov/erddap/rss/noaacwAMSR2gw1IceConcDailyNP06.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwAMSR2gw1IceConcDailyNP06&showErrors=false&email= | DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA | noaacwAMSR2gw1IceConcDailyNP06 | ||||||
| https://polarwatch.noaa.gov/erddap/griddap/jplMURSST41 | https://polarwatch.noaa.gov/erddap/griddap/jplMURSST41.graph | https://polarwatch.noaa.gov/erddap/wms/jplMURSST41/request | https://polarwatch.noaa.gov/erddap/files/jplMURSST41/ | public | Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Daily | This is a merged, multi-sensor L4 Foundation Sea Surface Temperature (SST) analysis product from Jet Propulsion Laboratory (JPL). This daily, global, Multi-scale, Ultra-high Resolution (MUR) Sea Surface Temperature (SST) 1-km data set, Version 4.1, is produced at JPL under the NASA MEaSUREs program. For details, see https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1 . This dataset is part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project. The data for the most recent 7 days is usually revised everyday. The data for other days is sometimes revised.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nanalysed_sst (Analysed Sea Surface Temperature, degree_C)\nanalysis_error (Estimated Error Standard Deviation of analysed_sst, degree_C)\nmask (Sea/Land Field Composite Mask)\nsea_ice_fraction (Sea Ice Area Fraction, 1)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/jplMURSST41_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/jplMURSST41_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/jplMURSST41/index.htmlTable | https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1
| https://polarwatch.noaa.gov/erddap/rss/jplMURSST41.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=jplMURSST41&showErrors=false&email= | NASA JPL | jplMURSST41 | ||
| https://polarwatch.noaa.gov/erddap/griddap/nesdis_blendedsic_shem_daily | https://polarwatch.noaa.gov/erddap/griddap/nesdis_blendedsic_shem_daily.graph | https://polarwatch.noaa.gov/erddap/files/nesdis_blendedsic_shem_daily/ | public | Sea Ice Concentration, AMSR2/VIIRS, Antarctic, 1km, Blended, UW-CIMSS, 2023-present, Daily | This is a Blended Sea Ice Concentration product that combines clear-sky Visible and Infrared Imager/Radiometer Suite (VIIRS) ice concentration from NOAA-20 with that comes from the AMSR2 NASA Team-2 10 km product. The output is remapped into 1-km EASE2 grid cells with a nominal resolution of at least 5-km. The NDE cloud mask is used to screen out cloudy VIIRS pixels. When the cloud mask for a data point is determined to be confidently clear, the output concentration in the blended product is 100% VIIRS. Otherwise, the Best Linear Unbiased Estimator equation is used to determine the output concentration (see https://www.sciencedirect.com/topics/mathematics/linear-unbiased-estimator#:~:text=Under%20assumptions%20V%20and%20VI,(Gauss%E2%80%93Markov%20theorem for more information on method).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][cols][rows]):\nIceConc (Sea Ice Concentration, Blended AMSR2 and VIIRS, percent)\n
| https://polarwatch.noaa.gov/erddap/info/nesdis_blendedsic_shem_daily/index.htmlTable | https://www.mdpi.com/2072-4292/13/15/2982
| https://polarwatch.noaa.gov/erddap/rss/nesdis_blendedsic_shem_daily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdis_blendedsic_shem_daily&showErrors=false&email= | Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison | nesdis_blendedsic_shem_daily | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceNP06_Grid | https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceNP06_Grid.graph | public | Sea Ice Grid for AMSR-2 products from NOAA CoastWatch, Arctic, 10km | GCOM Seaice Products. Department of Commerce (DOC)/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA data from https://www.star.nesdis.noaa.gov/thredds/dodsC/AMSR2gw1IceConcDailyAggNP06.das .\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [rows][cols]):\nlatitude (degrees_north)\nlongitude (degrees_east)\n
| https://polarwatch.noaa.gov/erddap/info/noaacwAMSR2gw1IceNP06_Grid/index.htmlTable | https://www.star.nesdis.noaa.gov/thredds/dodsC/AMSR2gw1IceConcDailyAggNP06.html
| https://polarwatch.noaa.gov/erddap/rss/noaacwAMSR2gw1IceNP06_Grid.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwAMSR2gw1IceNP06_Grid&showErrors=false&email= | DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA | noaacwAMSR2gw1IceNP06_Grid | ||||||
| https://polarwatch.noaa.gov/erddap/griddap/nesdisL3Collatedn20C | https://polarwatch.noaa.gov/erddap/griddap/nesdisL3Collatedn20C.graph | https://polarwatch.noaa.gov/erddap/wms/nesdisL3Collatedn20C/request | public | Sea-Surface Temperature, NOAA ACSPO NOAA-20 VIIRS CoastWatch Co-gridded 4km Daily (degrees C) | Sea surface temperature retrievals produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from Visible and Infrared Imager/Radiometer Suite (VIIRS) sensor\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nsea_surface_temperature (sea surface sub-skin temperature, degree_C)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisL3Collatedn20C_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisL3Collatedn20C_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/nesdisL3Collatedn20C/index.htmlTable | http://www.star.nesdis.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/nesdisL3Collatedn20C.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisL3Collatedn20C&showErrors=false&email= | NOAA/NESDIS/OSPO | nesdisL3Collatedn20C | |||
| https://polarwatch.noaa.gov/erddap/griddap/nesdisL3CollatednppC | https://polarwatch.noaa.gov/erddap/griddap/nesdisL3CollatednppC.graph | https://polarwatch.noaa.gov/erddap/wms/nesdisL3CollatednppC/request | public | Sea-Surface Temperature, NOAA ACSPO S-NPP VIIRS CoastWatch Co-gridded 4km Daily (degrees C) | Sea surface temperature retrievals produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from Visi ble and Infrared Imager/Radiometer Suite (VIIRS) sensor\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nsea_surface_temperature (sea surface sub-skin temperature, degree_C)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisL3CollatednppC_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisL3CollatednppC_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/nesdisL3CollatednppC/index.htmlTable | http://www.star.nesdis.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/nesdisL3CollatednppC.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisL3CollatednppC&showErrors=false&email= | NOAA/NESDIS/OSPO | nesdisL3CollatednppC | |||
| https://polarwatch.noaa.gov/erddap/griddap/viirs_noaa20_ak_750m_daily | https://polarwatch.noaa.gov/erddap/griddap/viirs_noaa20_ak_750m_daily.graph | https://polarwatch.noaa.gov/erddap/wms/viirs_noaa20_ak_750m_daily/request | https://polarwatch.noaa.gov/erddap/files/viirs_noaa20_ak_750m_daily/ | public | SST, VIIRS NOAA-20, Alaska, 750m, 2020-present, Science Quality Daily | Daily global sea surface temperature produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from the Visible and Infrared Imager/Radiometer Suite (VIIRS) NOAA-20 sensor. The data were processed by the Advanced Clear-Sky Processor for Oceans (ACSPO).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (degree_C)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/viirs_noaa20_ak_750m_daily_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/viirs_noaa20_ak_750m_daily_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/viirs_noaa20_ak_750m_daily/index.htmlTable | https://coastwatch.noaa.gov/cwn/products/acspo-global-sst-viirs.html
| https://polarwatch.noaa.gov/erddap/rss/viirs_noaa20_ak_750m_daily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=viirs_noaa20_ak_750m_daily&showErrors=false&email= | NOAA/NESDIS/STAR/CoastWatch/PolarWatch | viirs_noaa20_ak_750m_daily |