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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
http://basin.ceoe.udel.edu/erddap/griddap/Aqua_1day_Climatology http://basin.ceoe.udel.edu/erddap/griddap/Aqua_1day_Climatology.graph http://basin.ceoe.udel.edu/erddap/wms/Aqua_1day_Climatology/request MODIS Aqua 1-Day 1 km Climatology Northwest Atlantic 1-Day Climatology is the average of the record of MODIS Aqua 1-Day 1 km Composite by day from 2003-2017. Daily climatology includes counts of observations per 1 km pixel. Because optical products are not normally distributed, they were first Log10 transformed, then averaged, then back transformed to represent the mean. Ocean color and sst calculation by SeaDas; Regridded to Mercator lon/lat projection. Processed at the University of Delaware. Computed for the Mid-Atlantic Regional Association Coastal Ocean Observing System.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time2][latitude][longitude]):\nsst (Sea Surface Temperature, Celsius)\nsst_count (Count of sst data points at pixel location)\nchl_oc3 (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)\nchl_oc3_count (Count of chl_oc3 data points at pixel location)\npoc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)\npoc_count (Count of poc data points at pixel location)\npic (Calcite Concentration, Balch and Gordon, mol m^-3)\npic_count (Count of pic data points at pixel location)\nRrs_412 (Remote sensing reflectance at 412 nm, sr^-1)\nRrs_412_count (Count of Rrs_412 data points at pixel location)\nRrs_443 (Remote sensing reflectance at 443 nm, sr^-1)\nRrs_443_count (Count of Rrs_443 data points at pixel location)\nRrs_469 (Remote sensing reflectance at 469 nm, sr^-1)\nRrs_469_count (Count of Rrs_469 data points at pixel location)\nRrs_488 (Remote sensing reflectance at 488 nm, sr^-1)\nRrs_488_count (Count of Rrs_488 data points at pixel location)\nRrs_531 (Remote sensing reflectance at 531 nm, sr^-1)\nRrs_531_count (Count of Rrs_531 data points at pixel location)\nRrs_547 (Remote sensing reflectance at 547 nm, sr^-1)\nRrs_547_count (Count of Rrs_547 data points at pixel location)\nRrs_555 (Remote sensing reflectance at 555 nm, sr^-1)\nRrs_555_count (Count of Rrs_555 data points at pixel location)\n... (38 more variables)\n http://basin.ceoe.udel.edu/erddap/metadata/fgdc/xml/Aqua_1day_Climatology_fgdc.xml http://basin.ceoe.udel.edu/erddap/metadata/iso19115/xml/Aqua_1day_Climatology_iso19115.xml http://basin.ceoe.udel.edu/erddap/info/Aqua_1day_Climatology/index.htmlTable https://aqua.nasa.gov/modis (external link) http://basin.ceoe.udel.edu/erddap/rss/Aqua_1day_Climatology.rss http://basin.ceoe.udel.edu/erddap/subscriptions/add.html?datasetID=Aqua_1day_Climatology&showErrors=false&email= University of Delaware Aqua_1day_Climatology
http://basin.ceoe.udel.edu/erddap/griddap/Aqua_gapfilled_1day http://basin.ceoe.udel.edu/erddap/griddap/Aqua_gapfilled_1day.graph http://basin.ceoe.udel.edu/erddap/wms/Aqua_gapfilled_1day/request MODIS Aqua 1-Day 1 km DinEOF Gapfilled Composite Forecast Delaware Bay MODIS Aqua 1-Day Composites over Delaware Bay, gapfilled via the DinEOF algorithm, providing selected reconstructed products for a 3-day forecast.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][forecast_time][latitude][longitude]):\nforecast_sst (Sea Surface Temperature, Degree_C)\nforecast_a_443_qaa (m^-1)\nforecast_Rrs_555 (sr^-1)\nforecast_chl_oc3 (mg m^-3)\n http://basin.ceoe.udel.edu/erddap/metadata/fgdc/xml/Aqua_gapfilled_1day_fgdc.xml http://basin.ceoe.udel.edu/erddap/metadata/iso19115/xml/Aqua_gapfilled_1day_iso19115.xml http://basin.ceoe.udel.edu/erddap/info/Aqua_gapfilled_1day/index.htmlTable http://modb.oce.ulg.ac.be/mediawiki/index.php/DINEOF (external link) http://basin.ceoe.udel.edu/erddap/rss/Aqua_gapfilled_1day.rss http://basin.ceoe.udel.edu/erddap/subscriptions/add.html?datasetID=Aqua_gapfilled_1day&showErrors=false&email= University of Delaware Aqua_gapfilled_1day
http://basin.ceoe.udel.edu/erddap/griddap/VIIRS_GAPFILLED http://basin.ceoe.udel.edu/erddap/griddap/VIIRS_GAPFILLED.graph http://basin.ceoe.udel.edu/erddap/wms/VIIRS_GAPFILLED/request VIIRS Suomi NPP 1-Day 750 m DinEOF Gapfilled Composite Forecast Delaware Bay VIIRS Suomi NPP 1-Day Composites over Delaware Bay, gapfilled via the DinEOF algorithm, providing selected reconstructed products for a 3-day forecast.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][forecast_time][latitude][longitude]):\nforecast_sst (Sea Surface Temperature, Degree_C)\nforecast_a_443_qaa (m^-1)\nforecast_Rrs_551 (sr^-1)\nforecast_chl_oc3 (mg m^-3)\n http://basin.ceoe.udel.edu/erddap/metadata/fgdc/xml/VIIRS_GAPFILLED_fgdc.xml http://basin.ceoe.udel.edu/erddap/metadata/iso19115/xml/VIIRS_GAPFILLED_iso19115.xml http://basin.ceoe.udel.edu/erddap/info/VIIRS_GAPFILLED/index.htmlTable http://modb.oce.ulg.ac.be/mediawiki/index.php/DINEOF (external link) http://basin.ceoe.udel.edu/erddap/rss/VIIRS_GAPFILLED.rss http://basin.ceoe.udel.edu/erddap/subscriptions/add.html?datasetID=VIIRS_GAPFILLED&showErrors=false&email= University of Delaware VIIRS_GAPFILLED

 
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