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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/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/erdNavgem05D10mWind_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05D10mWind_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdNavgem05D10mWind_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdNavgem05D10mWind_LonPM180/ Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, 10 m Wind, Lon+/-180 Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer model. It replaced NOGAPS as the prime model in the middle of February 2013 at the Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) Weather model synoptic site. [Wikipedia]\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwnd_ucmp_height_above_ground (Eastward Wind, m s-1)\nwnd_vcmp_height_above_ground (Northward Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdNavgem05D10mWind_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdNavgem05D10mWind_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdNavgem05D10mWind_LonPM180/index.htmlTable https://en.wikipedia.org/wiki/NAVGEM (external link) https://polarwatch.noaa.gov/erddap/rss/erdNavgem05D10mWind_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdNavgem05D10mWind_LonPM180&showErrors=false&email= FNMOC erdNavgem05D10mWind_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05D20mWind_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05D20mWind_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdNavgem05D20mWind_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdNavgem05D20mWind_LonPM180/ Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, 20 m Wind, Lon+/-180 Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer model. It replaced NOGAPS as the prime model in the middle of February 2013 at the Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) Weather model synoptic site. [Wikipedia]\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwnd_ucmp_height_above_ground (Eastward Wind, m s-1)\nwnd_vcmp_height_above_ground (Northward Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdNavgem05D20mWind_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdNavgem05D20mWind_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdNavgem05D20mWind_LonPM180/index.htmlTable https://en.wikipedia.org/wiki/NAVGEM (external link) https://polarwatch.noaa.gov/erddap/rss/erdNavgem05D20mWind_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdNavgem05D20mWind_LonPM180&showErrors=false&email= FNMOC erdNavgem05D20mWind_LonPM180
https://polarwatch.noaa.gov/erddap/tabledap/cwwcNDBCMet.subset https://polarwatch.noaa.gov/erddap/tabledap/cwwcNDBCMet https://polarwatch.noaa.gov/erddap/tabledap/cwwcNDBCMet.graph https://polarwatch.noaa.gov/erddap/files/cwwcNDBCMet/ NDBC Standard Meteorological Buoy Data, 1970-present The National Data Buoy Center (NDBC) distributes meteorological data from\nmoored buoys maintained by NDBC and others. Moored buoys are the weather\nsentinels of the sea. They are deployed in the coastal and offshore waters\nfrom the western Atlantic to the Pacific Ocean around Hawaii, and from the\nBering Sea to the South Pacific. NDBC's moored buoys measure and transmit\nbarometric pressure; wind direction, speed, and gust; air and sea\ntemperature; and wave energy spectra from which significant wave height,\ndominant wave period, and average wave period are derived. Even the\ndirection of wave propagation is measured on many moored buoys. See\nhttps://www.ndbc.noaa.gov/measdes.shtml for a description of the measurements.\n\nThe source data from NOAA NDBC has different column names, different units,\nand different missing values in different files, and other problems\n(notably, lots of rows with duplicate or different values for the same time\npoint). This dataset is a standardized, reformatted, and lightly edited\nversion of that source data, created by NOAA NMFS SWFSC ERD (email:\nerd.data at noaa.gov). Before 2020-01-29, this dataset only had the data\nthat was closest to a given hour, rounded to the nearest hour. Now, this\ndataset has all of the data available from NDBC with the original time\nvalues. If there are multiple source rows for a given buoy for a given\ntime, only the row with the most non-NaN data values is kept. If there is\na gap in the data, a row of missing values is inserted (which causes a nice\ngap when the data is graphed). Also, some impossible data values are\nremoved, but this data is not perfectly clean. This dataset is now updated\nevery 5 minutes.\n\nThis dataset has both historical data (quality controlled, before\n2022-10-01T00:00:00Z) and near real time data (less quality controlled,\nwhich may change at any time, from 2022-10-01T00:00:00Z on).\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation (Station Identifier)\n... (19 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/cwwcNDBCMet_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/cwwcNDBCMet_iso19115.xml https://polarwatch.noaa.gov/erddap/info/cwwcNDBCMet/index.htmlTable https://www.ndbc.noaa.gov/ (external link) https://polarwatch.noaa.gov/erddap/rss/cwwcNDBCMet.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=cwwcNDBCMet&showErrors=false&email= NOAA NDBC, NOAA NMFS SWFSC ERD cwwcNDBCMet
https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipNEPP.subset https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipNEPP https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipNEPP.graph https://polarwatch.noaa.gov/erddap/files/fsuResearchShipNEPP/ Research Ship Healy Underway Meteorological Data, Quality Controlled Research Ship Healy Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.\n\nIMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:\n flag=~\"ZZZ........Z.*\"\nin your query.\n'=~' indicates this is a regular expression constraint.\nThe 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.\nThe '.'s say to match any character.\nThe '*' says to match the previous character 0 or more times.\n(Don't include backslashes in your query.)\nSee the tutorial for regular expressions at\nhttps://www.vogella.com/tutorials/JavaRegularExpressions/article.html\n\ncdm_data_type = Trajectory\nVARIABLES:\nID (Call Sign)\nsite (Ship Name)\nIMO\ncruise_id\nexpocode\nfacility\nplatform\nplatform_version\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (22 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/fsuResearchShipNEPP_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/fsuResearchShipNEPP_iso19115.xml https://polarwatch.noaa.gov/erddap/info/fsuResearchShipNEPP/index.htmlTable https://samos.coaps.fsu.edu/html/ (external link) https://polarwatch.noaa.gov/erddap/rss/fsuResearchShipNEPP.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=fsuResearchShipNEPP&showErrors=false&email= FSU fsuResearchShipNEPP
https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipWCX7445nrt.subset https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipWCX7445nrt https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipWCX7445nrt.graph https://polarwatch.noaa.gov/erddap/files/fsuResearchShipWCX7445nrt/ Research Ship Laurence M. Gould Underway Meteorological Data, Quality Controlled Research Ship Laurence M. Gould Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.\n\nIMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:\n flag=~\"ZZZ........Z.*\"\nin your query.\n'=~' indicates this is a regular expression constraint.\nThe 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.\nThe '.'s say to match any character.\nThe '*' says to match the previous character 0 or more times.\n(Don't include backslashes in your query.)\nSee the tutorial for regular expressions at\nhttps://www.vogella.com/tutorials/JavaRegularExpressions/article.html\n\ncdm_data_type = Trajectory\nVARIABLES:\nID (Call Sign)\nsite (Ship Name)\nIMO\ncruise_id\nexpocode\nfacility\nplatform\nplatform_version\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (21 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/fsuResearchShipWCX7445nrt_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/fsuResearchShipWCX7445nrt_iso19115.xml https://polarwatch.noaa.gov/erddap/info/fsuResearchShipWCX7445nrt/index.htmlTable https://samos.coaps.fsu.edu/html/ (external link) https://polarwatch.noaa.gov/erddap/rss/fsuResearchShipWCX7445nrt.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=fsuResearchShipWCX7445nrt&showErrors=false&email= FSU fsuResearchShipWCX7445nrt
https://polarwatch.noaa.gov/erddap/griddap/coastwatchSMOSv662SSS3day https://polarwatch.noaa.gov/erddap/griddap/coastwatchSMOSv662SSS3day.graph https://polarwatch.noaa.gov/erddap/wms/coastwatchSMOSv662SSS3day/request https://polarwatch.noaa.gov/erddap/files/coastwatchSMOSv662SSS3day/ Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, 3 Day Composite Sea Surface Salinity - Near Real Time - Miras SMOS 3-Day Mean. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the ESA MIRAS SMOS Level-2 swath Network Common Data Format (NetCDF) files (currently V6.62; see release \"https://earth.esa.int/documents/10174/1854503/SMOS-Level-2-Ocean-Salinity-v662-release-note\" ). There are two SSS variables in V6.62 L2 NetCDF files, SSS_corr (corrected for land-sea contamination) and SSS_uncorr. The CoastWatch L3 product ingests the SSS_corr  with values between 25 - 40 Practical Salinity Scale (PSS). These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nsss (Sea Surface Salinity, PSU)\nsss_dif (SMOS Sea Surface Salinity minus World Ocean Atlas Value, PSU)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/coastwatchSMOSv662SSS3day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/coastwatchSMOSv662SSS3day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/coastwatchSMOSv662SSS3day/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/sea-surface-salinity/miras-smos.html (external link) https://polarwatch.noaa.gov/erddap/rss/coastwatchSMOSv662SSS3day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=coastwatchSMOSv662SSS3day&showErrors=false&email= NOAA NESDIS CoastWatch coastwatchSMOSv662SSS3day
https://polarwatch.noaa.gov/erddap/griddap/coastwatchSMOSv662SSS3day_Lon0360 https://polarwatch.noaa.gov/erddap/griddap/coastwatchSMOSv662SSS3day_Lon0360.graph https://polarwatch.noaa.gov/erddap/wms/coastwatchSMOSv662SSS3day_Lon0360/request https://polarwatch.noaa.gov/erddap/files/coastwatchSMOSv662SSS3day_Lon0360/ Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, 3 Day Composite, Lon0360 Sea Surface Salinity - Near Real Time - Miras SMOS 3-Day Mean. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the ESA MIRAS SMOS Level-2 swath Network Common Data Format (NetCDF) files (currently V6.62; see release \"https://earth.esa.int/documents/10174/1854503/SMOS-Level-2-Ocean-Salinity-v662-release-note\" ). There are two SSS variables in V6.62 L2 NetCDF files, SSS_corr (corrected for land-sea contamination) and SSS_uncorr. The CoastWatch L3 product ingests the SSS_corr  with values between 25 - 40 Practical Salinity Scale (PSS). These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nsss (Sea Surface Salinity, PSU)\nsss_dif (SMOS Sea Surface Salinity minus World Ocean Atlas Value, PSU)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/coastwatchSMOSv662SSS3day_Lon0360_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/coastwatchSMOSv662SSS3day_Lon0360_iso19115.xml https://polarwatch.noaa.gov/erddap/info/coastwatchSMOSv662SSS3day_Lon0360/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/sea-surface-salinity/miras-smos.html (external link) https://polarwatch.noaa.gov/erddap/rss/coastwatchSMOSv662SSS3day_Lon0360.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=coastwatchSMOSv662SSS3day_Lon0360&showErrors=false&email= NOAA NESDIS CoastWatch coastwatchSMOSv662SSS3day_Lon0360
https://polarwatch.noaa.gov/erddap/griddap/coastwatchSMOSv662SSS1day https://polarwatch.noaa.gov/erddap/griddap/coastwatchSMOSv662SSS1day.graph https://polarwatch.noaa.gov/erddap/wms/coastwatchSMOSv662SSS1day/request https://polarwatch.noaa.gov/erddap/files/coastwatchSMOSv662SSS1day/ Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, Daily Sea Surface Salinity - Near Real Time - Miras SMOS Daily Composite. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the ESA MIRAS SMOS Level-2 swath Network Common Data Format (NetCDF) files (currently V6.62; see release \"https://earth.esa.int/documents/10174/1854503/SMOS-Level-2-Ocean-Salinity-v662-release-note\" ). There are two SSS variables in V6.62 L2 NetCDF files, SSS_corr (corrected for land-sea contamination) and SSS_uncorr. The CoastWatch L3 product ingests the SSS_corr  with values between 25 - 40 Practical Salinity Scale (PSS). These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nsss (Sea Surface Salinity, PSU)\nsss_dif (SMOS Sea Surface Salinity minus World Ocean Atlas Value, PSU)\nl2_time (Time from L2 files, seconds since 1970-01-01T00:00:00Z)\nl2_lat (Latitude from L2 files, degrees_north)\nl2_lon (Longitude from L2 files, degrees_north)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/coastwatchSMOSv662SSS1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/coastwatchSMOSv662SSS1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/coastwatchSMOSv662SSS1day/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/sea-surface-salinity/miras-smos.html (external link) https://polarwatch.noaa.gov/erddap/rss/coastwatchSMOSv662SSS1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=coastwatchSMOSv662SSS1day&showErrors=false&email= NOAA NESDIS CoastWatch coastwatchSMOSv662SSS1day
https://polarwatch.noaa.gov/erddap/griddap/coastwatchSMOSv662SSS1day_Lon0360 https://polarwatch.noaa.gov/erddap/griddap/coastwatchSMOSv662SSS1day_Lon0360.graph https://polarwatch.noaa.gov/erddap/wms/coastwatchSMOSv662SSS1day_Lon0360/request https://polarwatch.noaa.gov/erddap/files/coastwatchSMOSv662SSS1day_Lon0360/ Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, Daily, Lon0360 Sea Surface Salinity - Near Real Time - Miras SMOS Daily Composite. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the ESA MIRAS SMOS Level-2 swath Network Common Data Format (NetCDF) files (currently V6.62; see release \"https://earth.esa.int/documents/10174/1854503/SMOS-Level-2-Ocean-Salinity-v662-release-note\" ). There are two SSS variables in V6.62 L2 NetCDF files, SSS_corr (corrected for land-sea contamination) and SSS_uncorr. The CoastWatch L3 product ingests the SSS_corr  with values between 25 - 40 Practical Salinity Scale (PSS). These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nsss (Sea Surface Salinity, PSU)\nsss_dif (SMOS Sea Surface Salinity minus World Ocean Atlas Value, PSU)\nl2_time (Time from L2 files, seconds since 1970-01-01T00:00:00Z)\nl2_lat (Latitude from L2 files, degrees_north)\nl2_lon (Longitude from L2 files, degrees_north)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/coastwatchSMOSv662SSS1day_Lon0360_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/coastwatchSMOSv662SSS1day_Lon0360_iso19115.xml https://polarwatch.noaa.gov/erddap/info/coastwatchSMOSv662SSS1day_Lon0360/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/sea-surface-salinity/miras-smos.html (external link) https://polarwatch.noaa.gov/erddap/rss/coastwatchSMOSv662SSS1day_Lon0360.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=coastwatchSMOSv662SSS1day_Lon0360&showErrors=false&email= NOAA NESDIS CoastWatch coastwatchSMOSv662SSS1day_Lon0360
https://polarwatch.noaa.gov/erddap/griddap/erdPH2ssta8day https://polarwatch.noaa.gov/erddap/griddap/erdPH2ssta8day.graph https://polarwatch.noaa.gov/erddap/wms/erdPH2ssta8day/request https://polarwatch.noaa.gov/erddap/files/erdPH2ssta8day/ SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2006, Science Quality (8 Day Composite) This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m Wind Speed, m s-1)\nl2p_flags\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH2ssta8day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH2ssta8day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdPH2ssta8day/index.htmlTable https://pathfinder.nodc.noaa.gov (external link) https://polarwatch.noaa.gov/erddap/rss/erdPH2ssta8day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH2ssta8day&showErrors=false&email= NOAA NCEI erdPH2ssta8day
https://polarwatch.noaa.gov/erddap/griddap/erdPH2ssta1day https://polarwatch.noaa.gov/erddap/griddap/erdPH2ssta1day.graph https://polarwatch.noaa.gov/erddap/wms/erdPH2ssta1day/request https://polarwatch.noaa.gov/erddap/files/erdPH2ssta1day/ SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite) This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m Wind Speed, m s-1)\nl2p_flags\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH2ssta1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH2ssta1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdPH2ssta1day/index.htmlTable https://pathfinder.nodc.noaa.gov (external link) https://polarwatch.noaa.gov/erddap/rss/erdPH2ssta1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH2ssta1day&showErrors=false&email= NOAA NCEI erdPH2ssta1day
https://polarwatch.noaa.gov/erddap/griddap/erdPH2sstamday https://polarwatch.noaa.gov/erddap/griddap/erdPH2sstamday.graph https://polarwatch.noaa.gov/erddap/wms/erdPH2sstamday/request https://polarwatch.noaa.gov/erddap/files/erdPH2sstamday/ SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite) This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m Wind Speed, m s-1)\nl2p_flags\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH2sstamday_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH2sstamday_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdPH2sstamday/index.htmlTable https://pathfinder.nodc.noaa.gov (external link) https://polarwatch.noaa.gov/erddap/rss/erdPH2sstamday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH2sstamday&showErrors=false&email= NOAA NCEI erdPH2sstamday
https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstd8day https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstd8day.graph https://polarwatch.noaa.gov/erddap/wms/erdPH53sstd8day/request https://polarwatch.noaa.gov/erddap/files/erdPH53sstd8day/ SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite) This dataset contains 8-day-composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m wind speed, m s-1)\nl2p_flags\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH53sstd8day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH53sstd8day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdPH53sstd8day/index.htmlTable https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:AVHRR_Pathfinder-NCEI-L3C-v5.3 (external link) https://polarwatch.noaa.gov/erddap/rss/erdPH53sstd8day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH53sstd8day&showErrors=false&email= NOAA NCEI erdPH53sstd8day
https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstdmday https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstdmday.graph https://polarwatch.noaa.gov/erddap/wms/erdPH53sstdmday/request https://polarwatch.noaa.gov/erddap/files/erdPH53sstdmday/ SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite) This dataset contains monthly composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m wind speed, m s-1)\nl2p_flags\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH53sstdmday_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH53sstdmday_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdPH53sstdmday/index.htmlTable https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:AVHRR_Pathfinder-NCEI-L3C-v5.3 (external link) https://polarwatch.noaa.gov/erddap/rss/erdPH53sstdmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH53sstdmday&showErrors=false&email= NOAA NCEI erdPH53sstdmday
https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstn8day https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstn8day.graph https://polarwatch.noaa.gov/erddap/wms/erdPH53sstn8day/request https://polarwatch.noaa.gov/erddap/files/erdPH53sstn8day/ SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite) This dataset contains 8-day-composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m wind speed, m s-1)\nl2p_flags\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH53sstn8day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH53sstn8day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdPH53sstn8day/index.htmlTable https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:AVHRR_Pathfinder-NCEI-L3C-v5.3 (external link) https://polarwatch.noaa.gov/erddap/rss/erdPH53sstn8day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH53sstn8day&showErrors=false&email= NOAA NCEI erdPH53sstn8day
https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstnmday https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstnmday.graph https://polarwatch.noaa.gov/erddap/wms/erdPH53sstnmday/request https://polarwatch.noaa.gov/erddap/files/erdPH53sstnmday/ SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite) This dataset contains monthly composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m wind speed, m s-1)\nl2p_flags\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH53sstnmday_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH53sstnmday_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdPH53sstnmday/index.htmlTable https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:AVHRR_Pathfinder-NCEI-L3C-v5.3 (external link) https://polarwatch.noaa.gov/erddap/rss/erdPH53sstnmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH53sstnmday&showErrors=false&email= NOAA NCEI erdPH53sstnmday
https://polarwatch.noaa.gov/erddap/griddap/erdQMwind1day_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdQMwind1day_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdQMwind1day_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdQMwind1day_LonPM180/ Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day), Lon+/-180 NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdQMwind1day_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdQMwind1day_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdQMwind1day_LonPM180/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdQMwind1day_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdQMwind1day_LonPM180&showErrors=false&email= NOAA NMFS SWFSC ERD erdQMwind1day_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdQMwind3day_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdQMwind3day_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdQMwind3day_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdQMwind3day_LonPM180/ Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day), Lon+/-180 NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 3 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdQMwind3day_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdQMwind3day_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdQMwind3day_LonPM180/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdQMwind3day_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdQMwind3day_LonPM180&showErrors=false&email= NOAA NMFS SWFSC ERD erdQMwind3day_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdQMwind8day_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdQMwind8day_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdQMwind8day_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdQMwind8day_LonPM180/ Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day), Lon+/-180 NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is an 8 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdQMwind8day_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdQMwind8day_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdQMwind8day_LonPM180/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdQMwind8day_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdQMwind8day_LonPM180&showErrors=false&email= NOAA NMFS SWFSC ERD erdQMwind8day_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdQMwindmday_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdQMwindmday_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdQMwindmday_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdQMwindmday_LonPM180/ Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180 NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdQMwindmday_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdQMwindmday_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdQMwindmday_LonPM180/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdQMwindmday_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdQMwindmday_LonPM180&showErrors=false&email= NOAA NMFS SWFSC ERD erdQMwindmday_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdQBwind1day_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdQBwind1day_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdQBwind1day_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdQBwind1day_LonPM180/ Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day), Lon+/-180 NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdQBwind1day_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdQBwind1day_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdQBwind1day_LonPM180/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/QB_ux10_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdQBwind1day_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdQBwind1day_LonPM180&showErrors=false&email= NOAA NMFS SWFSC ERD erdQBwind1day_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdQBwind3day_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdQBwind3day_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdQBwind3day_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdQBwind3day_LonPM180/ Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day), Lon+/-180 NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 3 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdQBwind3day_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdQBwind3day_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdQBwind3day_LonPM180/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/QB_ux10_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdQBwind3day_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdQBwind3day_LonPM180&showErrors=false&email= NOAA NMFS SWFSC ERD erdQBwind3day_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdQBwind8day_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdQBwind8day_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdQBwind8day_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdQBwind8day_LonPM180/ Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day), Lon+/-180 NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is an 8 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdQBwind8day_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdQBwind8day_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdQBwind8day_LonPM180/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/QB_ux10_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdQBwind8day_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdQBwind8day_LonPM180&showErrors=false&email= NOAA NMFS SWFSC ERD erdQBwind8day_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdQBwindmday_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdQBwindmday_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdQBwindmday_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdQBwindmday_LonPM180/ Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180 NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdQBwindmday_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdQBwindmday_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdQBwindmday_LonPM180/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/QB_ux10_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdQBwindmday_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdQBwindmday_LonPM180&showErrors=false&email= NOAA NMFS SWFSC ERD erdQBwindmday_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_1day https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_1day.graph https://polarwatch.noaa.gov/erddap/wms/wvcharmV3_1day/request https://polarwatch.noaa.gov/erddap/files/wvcharmV3_1day/ X-experimental - C-HARM v3, 1-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present Version 3. The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite NOAA S-National Polar-orbiting Partnership (NPP) Visible and Infrared Imager/Radiometer Suite (VIIRS) observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS Regional Ocean Modeling System (ROMS). The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npseudo_nitzschia (Probability of Pseudo-nitzschia > 10,000 cells/L, 1)\nparticulate_domoic (Probability of Particulate Domoic Acid > 500 nanograms/L, 1)\ncellular_domoic (Probability of Cellular Domoic Acid > 10 picograms/cell, 1)\nchla_filled (S-NPP NOAA VIIRS Chlorophyll Fields Gap-Filled with DINEOF, mg m^-3)\nr486_filled (S-NPP NOAA VIIRS 486nm Reflectance Fields Gap-Filled with DINEOF)\nr551_filled (S-NPP NOAA VIIRS 551nm Reflectance Fields Gap-Filled with DINEOF)\nsalinity (WCOFS Surface Salinity, PSU)\nwater_temparture (WCOFS Surface Water Temperature, degree_C)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/wvcharmV3_1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/wvcharmV3_1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/wvcharmV3_1day/index.htmlTable https://www.cencoos.org/observations/models-forecasts (external link) https://polarwatch.noaa.gov/erddap/rss/wvcharmV3_1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=wvcharmV3_1day&showErrors=false&email= NOAA/NMFS/SWFSC/ERD, CoastWatch West Coast wvcharmV3_1day
https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_2day https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_2day.graph https://polarwatch.noaa.gov/erddap/wms/wvcharmV3_2day/request https://polarwatch.noaa.gov/erddap/files/wvcharmV3_2day/ X-experimental - C-HARM v3, 2-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present Version 3. The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite NOAA S-National Polar-orbiting Partnership (NPP) Visible and Infrared Imager/Radiometer Suite (VIIRS) observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS Regional Ocean Modeling System (ROMS). The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npseudo_nitzschia (Probability of Pseudo-nitzschia > 10,000 cells/L, 1)\nparticulate_domoic (Probability of Particulate Domoic Acid > 500 nanograms/L, 1)\ncellular_domoic (Probability of Cellular Domoic Acid > 10 picograms/cell, 1)\nchla_filled (S-NPP NOAA VIIRS Chlorophyll Fields Gap-Filled with DINEOF, mg m^-3)\nr486_filled (S-NPP NOAA VIIRS 486nm Reflectance Fields Gap-Filled with DINEOF)\nr551_filled (S-NPP NOAA VIIRS 551nm Reflectance Fields Gap-Filled with DINEOF)\nsalinity (WCOFS Surface Salinity, PSU)\nwater_temparture (WCOFS Surface Water Temperature, degree_C)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/wvcharmV3_2day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/wvcharmV3_2day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/wvcharmV3_2day/index.htmlTable https://www.cencoos.org/observations/models-forecasts (external link) https://polarwatch.noaa.gov/erddap/rss/wvcharmV3_2day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=wvcharmV3_2day&showErrors=false&email= NOAA/NMFS/SWFSC/ERD, CoastWatch West Coast wvcharmV3_2day
https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_3day https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_3day.graph https://polarwatch.noaa.gov/erddap/wms/wvcharmV3_3day/request https://polarwatch.noaa.gov/erddap/files/wvcharmV3_3day/ X-experimental - C-HARM v3, 3-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present Version 3. The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite NOAA S-National Polar-orbiting Partnership (NPP) Visible and Infrared Imager/Radiometer Suite (VIIRS) observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS Regional Ocean Modeling System (ROMS). The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npseudo_nitzschia (Probability of Pseudo-nitzschia > 10,000 cells/L, 1)\nparticulate_domoic (Probability of Particulate Domoic Acid > 500 nanograms/L, 1)\ncellular_domoic (Probability of Cellular Domoic Acid > 10 picograms/cell, 1)\nchla_filled (S-NPP NOAA VIIRS Chlorophyll Fields Gap-Filled with DINEOF, mg m^-3)\nr486_filled (S-NPP NOAA VIIRS 486nm Reflectance Fields Gap-Filled with DINEOF)\nr551_filled (S-NPP NOAA VIIRS 551nm Reflectance Fields Gap-Filled with DINEOF)\nsalinity (WCOFS Surface Salinity, PSU)\nwater_temparture (WCOFS Surface Water Temperature, degree_C)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/wvcharmV3_3day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/wvcharmV3_3day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/wvcharmV3_3day/index.htmlTable https://www.cencoos.org/observations/models-forecasts (external link) https://polarwatch.noaa.gov/erddap/rss/wvcharmV3_3day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=wvcharmV3_3day&showErrors=false&email= NOAA/NMFS/SWFSC/ERD, CoastWatch West Coast wvcharmV3_3day
https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_0day https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_0day.graph https://polarwatch.noaa.gov/erddap/wms/wvcharmV3_0day/request https://polarwatch.noaa.gov/erddap/files/wvcharmV3_0day/ X-experimental - C-HARM v3, Nowcast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present Version 3. The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite NOAA S-National Polar-orbiting Partnership (NPP) Visible and Infrared Imager/Radiometer Suite (VIIRS) observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS Regional Ocean Modeling System (ROMS). The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npseudo_nitzschia (Probability of Pseudo-nitzschia > 10,000 cells/L, 1)\nparticulate_domoic (Probability of Particulate Domoic Acid > 500 nanograms/L, 1)\ncellular_domoic (Probability of Cellular Domoic Acid > 10 picograms/cell, 1)\nchla_filled (S-NPP NOAA VIIRS Chlorophyll Fields Gap-Filled with DINEOF, mg m^-3)\nr486_filled (S-NPP NOAA VIIRS 486nm Reflectance Fields Gap-Filled with DINEOF)\nr551_filled (S-NPP NOAA VIIRS 551nm Reflectance Fields Gap-Filled with DINEOF)\nsalinity (WCOFS Surface Salinity, PSU)\nwater_temparture (WCOFS Surface Water Temperature, degree_C)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/wvcharmV3_0day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/wvcharmV3_0day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/wvcharmV3_0day/index.htmlTable https://www.cencoos.org/observations/models-forecasts (external link) https://polarwatch.noaa.gov/erddap/rss/wvcharmV3_0day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=wvcharmV3_0day&showErrors=false&email= NOAA/NMFS/SWFSC/ERD, CoastWatch West Coast wvcharmV3_0day
https://polarwatch.noaa.gov/erddap/griddap/noaa_snpp_poc https://polarwatch.noaa.gov/erddap/griddap/noaa_snpp_poc.graph https://polarwatch.noaa.gov/erddap/wms/noaa_snpp_poc/request https://polarwatch.noaa.gov/erddap/files/noaa_snpp_poc/ X-Experimental POC from NOAA S-NPP VIIRS Source Data Particulate Organic Carbon in Ocean Surface Water, Sea-Wide Field-of-View Sensor (SeaWiFS), 9km, NASA Standard Mapped Image (SMI), Stramski 2022\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npoc (Particulate Organic Carbon, D. Stramski, 2022, mg m^-3)\nRrs_443 (Remote Sensing Reflectance at 443 nm, sr^-1)\nRrs_486 (Remote Sensing Reflectance at 486 nm, sr^-1)\nRrs_551 (Remote Sensing Reflectance at 551 nm, W m^-2 um^-1 sr^-1)\nRrs_510v (Virtual Remote Sensing Reflectance at 510 nm, W m^-2 um^-1 sr^-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_snpp_poc_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_snpp_poc_iso19115.xml https://polarwatch.noaa.gov/erddap/info/noaa_snpp_poc/index.htmlTable https://coastwatch.noaa.gov (external link) https://polarwatch.noaa.gov/erddap/rss/noaa_snpp_poc.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_snpp_poc&showErrors=false&email= STAR noaa_snpp_poc
https://polarwatch.noaa.gov/erddap/griddap/jpss_rrs_alaska https://polarwatch.noaa.gov/erddap/griddap/jpss_rrs_alaska.graph https://polarwatch.noaa.gov/erddap/wms/jpss_rrs_alaska/request https://polarwatch.noaa.gov/erddap/files/jpss_rrs_alaska/ X-Experimental Remote Sensing Reflectance, S-NPP VIIR, Alaska, Daily Ocean color standard products include normalized water-leaving radiances, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_410 (SNPP Remote Sensing Reflectance at 410 nm, sr^-1)\nRrs_443 (Remove Sensing Reflectance 443nm, sr^-1)\nRrs_486 (Remove Sensing Reflectance 486nm, sr^-1)\nRrs_551 (Remove Sensing Reflectance 551nm, sr^-1)\nRrs_638 (Remove Sensing Reflectance 638nm)\nRrs_671 (Remove Sensing Reflectance 671nm, sr^-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/jpss_rrs_alaska_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/jpss_rrs_alaska_iso19115.xml https://polarwatch.noaa.gov/erddap/info/jpss_rrs_alaska/index.htmlTable http://www.star.nesdis.noaa.gov/socd/mecb/color/ (external link) https://polarwatch.noaa.gov/erddap/rss/jpss_rrs_alaska.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=jpss_rrs_alaska&showErrors=false&email= NOAA NESDIS STAR jpss_rrs_alaska

 
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