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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/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

 
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