griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://spraydata.ucsd.edu/erddap/griddap/esa_occci_v6_ca https://spraydata.ucsd.edu/erddap/griddap/esa_occci_v6_ca.graph https://spraydata.ucsd.edu/erddap/wms/esa_occci_v6_ca/request https://spraydata.ucsd.edu/erddap/files/esa_occci_v6_ca/ ESA CCI, EOCIS Ocean Colour Product, and Copernicus Climate Change Service 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]):\nMERIS_nobs_sum (Count of the number of observations from the MERIS sensor contributing to this bin cell)\nMODISA_nobs_sum (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)\nOLCI_A_nobs_sum (Count of the number of observations from the OLCI (Sentinel-3a) sensor contributing to this bin cell)\nOLCI_B_nobs_sum (Count of the number of observations from the OLCI (Sentinel-3b) sensor contributing to this bin cell)\nSeaWiFS_nobs_sum (Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell)\nVIIRS_nobs_sum (Count of the number of observations from the VIIRS sensor contributing to this bin cell)\nchlor_a (Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships, milligram m-3)\nchlor_a_log10_bias (Bias of log10-transformed chlorophyll-a concentration in seawater.)\nchlor_a_log10_rmsd (Root-mean-square-difference of log10-transformed chlorophyll-a concentration in seawater.)\ntotal_nobs_sum (Count of the total number of observations contributing to this bin cell)\n https://spraydata.ucsd.edu/erddap/metadata/fgdc/xml/esa_occci_v6_ca_fgdc.xml https://spraydata.ucsd.edu/erddap/metadata/iso19115/xml/esa_occci_v6_ca_iso19115.xml https://spraydata.ucsd.edu/erddap/info/esa_occci_v6_ca/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://spraydata.ucsd.edu/erddap/rss/esa_occci_v6_ca.rss https://spraydata.ucsd.edu/erddap/subscriptions/add.html?datasetID=esa_occci_v6_ca&showErrors=false&email= Plymouth Marine Laboratory esa_occci_v6_ca

 
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