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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://polarwatch.noaa.gov/erddap/griddap/erdMH1chla1day https://polarwatch.noaa.gov/erddap/griddap/erdMH1chla1day.graph https://polarwatch.noaa.gov/erddap/wms/erdMH1chla1day/request https://polarwatch.noaa.gov/erddap/files/erdMH1chla1day/ Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (1 Day Composite) This dataset has Level 3, Standard Mapped Image, 4km, chlorophyll-a concentration data from NASA's Aqua Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.  This is Science Quality data.  This is the August 2015 version of this dataset.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlorophyll (Mean Chlorophyll a Concentration, mg m-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdMH1chla1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdMH1chla1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdMH1chla1day/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/MH1_chla_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdMH1chla1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdMH1chla1day&showErrors=false&email= NOAA NMFS SWFSC ERD erdMH1chla1day
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColor8Day https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColor8Day.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI42OceanColor8Day/request ESA CCI Ocean Colour Product (CCI ALL-v4.2-8DAY), 0.04166666°, 1997-2020 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)) products.  MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS 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 SeaWiFS levels, for the overlap period 2012-2013.  VIIRS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS and MODIS from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v3.5 (for atmospheric correction).  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM.  Derived products were generally computed with the standard SeaDAS algorithms.  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 OC4, Hu's CI and OC5, 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).\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_555 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm., sr-1)\nRrs_670 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 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)\nwater_class4 (Mean of normalised water class 4 membership over the compositing period)\nwater_class5 (Mean of normalised water class 5 membership over the compositing period)\n... (15 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI42OceanColor8Day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI42OceanColor8Day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI42OceanColor8Day/index.htmlTable https://esa-oceancolour-cci.org (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI42OceanColor8Day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI42OceanColor8Day&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI42OceanColor8Day
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColorDaily https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColorDaily.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI42OceanColorDaily/request ESA CCI Ocean Colour Product (CCI ALL-v4.2-DAILY), 0.04166666°, 1997-2019 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, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS) products.  MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS 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 SeaWiFS levels, for the overlap period 2012-2013.  VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction).  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM.  Derived products were generally computed with the standard SeaDAS algorithms.  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 OC4, Hu's CI and OC5, 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nMODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)\nVIIRS_nobs (Count of the number of observations from the VIIRS sensor contributing to this bin cell)\nMERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)\nSeaWiFS_nobs (Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell)\ntotal_nobs (Count of the total number of observations 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_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_555 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm., sr-1)\nRrs_670 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm., sr-1)\nwater_class1 (Normalised water class 1 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data)\nwater_class2 (Normalised water class 2 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data)\n... (78 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI42OceanColorDaily_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI42OceanColorDaily_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI42OceanColorDaily/index.htmlTable https://esa-oceancolour-cci.org (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI42OceanColorDaily.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI42OceanColorDaily&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI42OceanColorDaily
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColorMonthly https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColorMonthly.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI42OceanColorMonthly/request ESA CCI Ocean Colour Product (CCI ALL-v4.2-MONTHLY), 0.04166666°, 1997-2020 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, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS) products.  MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS 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 SeaWiFS levels, for the overlap period 2012-2013.  VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction).  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM.  Derived products were generally computed with the standard SeaDAS algorithms.  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 OC4, Hu's CI and OC5, 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).\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_555 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm., sr-1)\nRrs_670 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 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)\nwater_class4 (Mean of normalised water class 4 membership over the compositing period)\nwater_class5 (Mean of normalised water class 5 membership over the compositing period)\nwater_class6 (Mean of normalised water class 6 membership over the compositing period)\nwater_class7 (Mean of normalised water class 7 membership over the compositing period)\n... (13 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI42OceanColorMonthly_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI42OceanColorMonthly_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI42OceanColorMonthly/index.htmlTable https://esa-oceancolour-cci.org (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI42OceanColorMonthly.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI42OceanColorMonthly&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI42OceanColorMonthly
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor5Day https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor5Day.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColor5Day/request ESA CCI Ocean Colour Product (CCI ALL-v5.0-5DAY), 0.04166666°, 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 2012-2013; 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/pmlEsaCCI50OceanColor5Day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColor5Day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColor5Day/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColor5Day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColor5Day&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI50OceanColor5Day
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColor8Day/request 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/ (external link) 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/pmlEsaCCI50OceanColorDaily https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorDaily.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColorDaily/request ESA CCI Ocean Colour Product (CCI ALL-v5.0-DAILY), 0.04166666°, 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 2012-2013; 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]):\nMODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)\nVIIRS_nobs (Count of the number of observations from the VIIRS sensor contributing to this bin cell)\nOLCI_nobs (Count of the number of observations from the OLCI sensor contributing to this bin cell)\nMERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)\nSeaWiFS_nobs (Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell)\ntotal_nobs (Count of the total number of observations 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_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)\n... (83 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI50OceanColorDaily_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColorDaily_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColorDaily/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColorDaily.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColorDaily&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI50OceanColorDaily
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorMonthly https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorMonthly.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColorMonthly/request 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/ (external link) 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 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/ (external link) 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 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/ (external link) 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 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/ (external link) 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 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/ (external link) 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/jplMURSST41anom1day https://polarwatch.noaa.gov/erddap/griddap/jplMURSST41anom1day.graph https://polarwatch.noaa.gov/erddap/wms/jplMURSST41anom1day/request https://polarwatch.noaa.gov/erddap/files/jplMURSST41anom1day/ Multi-scale Ultra-high Resolution (MUR) SST Analysis Anomaly fv04.1, Global, 0.01°, 2002-present, Daily A daily Sea Surface Temperature (SST) Anomaly product created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project).\n        \nThe data for the most recent 4 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]):\nsstAnom (sea surface temperature anomaly, degree_C)\nmask (sea/land field composite mask)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/jplMURSST41anom1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/jplMURSST41anom1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/jplMURSST41anom1day/index.htmlTable https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1 (external link) https://polarwatch.noaa.gov/erddap/rss/jplMURSST41anom1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=jplMURSST41anom1day&showErrors=false&email= NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN jplMURSST41anom1day
https://polarwatch.noaa.gov/erddap/griddap/jplMURSST41anommday https://polarwatch.noaa.gov/erddap/griddap/jplMURSST41anommday.graph https://polarwatch.noaa.gov/erddap/wms/jplMURSST41anommday/request https://polarwatch.noaa.gov/erddap/files/jplMURSST41anommday/ Multi-scale Ultra-high Resolution (MUR) SST Analysis Anomaly fv04.1, Global, 0.01°, 2002-present, Monthly This monthly Sea Surface Temperature (SST) Anomaly product is a simple mean of the daily anomaly product created by ERD for a given month.  The daily anomalies were created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsstAnom (Sea Surface Temperature Anomaly Monthly Mean, degree_C)\nmask (sea/land field composite mask)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/jplMURSST41anommday_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/jplMURSST41anommday_iso19115.xml https://polarwatch.noaa.gov/erddap/info/jplMURSST41anommday/index.htmlTable https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1 (external link) https://polarwatch.noaa.gov/erddap/rss/jplMURSST41anommday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=jplMURSST41anommday&showErrors=false&email= NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN jplMURSST41anommday
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/ 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 (external link) 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/jplMURSST41mday https://polarwatch.noaa.gov/erddap/griddap/jplMURSST41mday.graph https://polarwatch.noaa.gov/erddap/wms/jplMURSST41mday/request https://polarwatch.noaa.gov/erddap/files/jplMURSST41mday/ Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly A monthly mean Sea Surface Temperature (SST) product created by NOAA NMFS SWFSC ERD based on the daily, global, Multi-scale, Ultra-high Resolution (MUR) Sea Surface Temperature (SST) 1-km data set, Version 4.1, which is produced at the NASA Jet Propulsion Laboratory (JPL) under the NASA MEaSUREs program. For details of the source dataset, see https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1 . The source dataset is part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsst (Sea Surface Temperature Monthly Mean, degree_C)\nnobs (Number of Observations)\nmask (Sea/Land Field Composite Mask)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/jplMURSST41mday_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/jplMURSST41mday_iso19115.xml https://polarwatch.noaa.gov/erddap/info/jplMURSST41mday/index.htmlTable https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1 (external link) https://polarwatch.noaa.gov/erddap/rss/jplMURSST41mday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=jplMURSST41mday&showErrors=false&email= NOAA ERD and CoastWatch West Coast Regional Node jplMURSST41mday
https://polarwatch.noaa.gov/erddap/griddap/eumetsat_osisaf_grid_sh_ps https://polarwatch.noaa.gov/erddap/griddap/eumetsat_osisaf_grid_sh_ps.graph Sea Ice Lat-Lon Grid, OSI SAF EUMETSAT, Antarctic, Polar Stereographic, 10km The daily analysis of sea ice concentration is obtained from operation satellite images of the polar regions. It is based on atmospherically corrected signal and a carefully selected sea ice concentration algorithm. This product is freely available from the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [yc][xc]):\nlat (latitude coordinate, degrees_north)\nlon (longitude coordinate, degrees_east)\n https://polarwatch.noaa.gov/erddap/info/eumetsat_osisaf_grid_sh_ps/index.htmlTable https://thredds.met.no/thredds/dodsC/osisaf/met.no/ice/conc_sh_pol_agg.html (external link) https://polarwatch.noaa.gov/erddap/rss/eumetsat_osisaf_grid_sh_ps.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=eumetsat_osisaf_grid_sh_ps&showErrors=false&email= EUMETSAT OSI SAF eumetsat_osisaf_grid_sh_ps
https://polarwatch.noaa.gov/erddap/griddap/eumetsat_osisaf_grid_nh_ps https://polarwatch.noaa.gov/erddap/griddap/eumetsat_osisaf_grid_nh_ps.graph Sea Ice Lat-Lon Grid, OSI SAF EUMETSAT, Arctic, Polar Stereographic, 10km This is the coordinating geospatial grid for the OSI SAF northern hemisphere polar stereographic dataset(ERDDAP ID: eumetsat_osisaf_ice_conc_nh_ps.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [yc][xc]):\nlat (latitude coordinate, degrees_north)\nlon (longitude coordinate, degrees_east)\n https://polarwatch.noaa.gov/erddap/info/eumetsat_osisaf_grid_nh_ps/index.htmlTable https://thredds.met.no/thredds/dodsC/osisaf/met.no/ice/conc_nh_pol_agg.html (external link) https://polarwatch.noaa.gov/erddap/rss/eumetsat_osisaf_grid_nh_ps.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=eumetsat_osisaf_grid_nh_ps&showErrors=false&email= EUMETSAT OSI SAF eumetsat_osisaf_grid_nh_ps

 
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