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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Institution Dataset ID
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoast3dayMedian https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoast3dayMedian.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnNPPVIIRSSQchlaEastCoast3dayMedian/request Chlorophyll, NOAA S-NPP VIIRS, Science Quality, U.S. East Coast 750m, Level 3, 2012-present, 3-day Median 3-day median chlorophyll-a concentration for the U.S. East Coast from the VIIRS instrument aboard the S-NPP satellite, 2012-present, is produced using the blue-green reflectance ratio empirical approach of O'Reilly et al. (1998), adjusting the algorithm for the VIIRS spectral bands. Specifically, the algorithm is a 3-band algorithm (OC3V) whose inputs are the water-leaving radiance at wavelengths of 443, 486, and 551 nm (NOAA VIIRS ATBD, 2017). Atmospheric correction uses the near-infrared (NIR) approach of Jiang and Wang (2014), referred to as the BMW atmospheric correction. The individual overpasses are composited into daily grids (~840m), then the median 3-day gridded chlorophyll-a is calculated from the daily grids. Data in the last year of the series represent near real-time data and are of lesser accuracy than the science-quality data of the years before the last year. Updates from near real-time to science-quality may occur more frequently than yearly. More info: https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, Default Algorithm, mg m^-3)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnNPPVIIRSSQchlaEastCoast3dayMedian_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnNPPVIIRSSQchlaEastCoast3dayMedian_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnNPPVIIRSSQchlaEastCoast3dayMedian/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnNPPVIIRSSQchlaEastCoast3dayMedian.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnNPPVIIRSSQchlaEastCoast3dayMedian
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoast7dayMedian https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoast7dayMedian.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnNPPVIIRSSQchlaEastCoast7dayMedian/request Chlorophyll, NOAA S-NPP VIIRS, Science Quality, U.S. East Coast 750m, Level 3, 2012-present, 7-day Median 7-day median chlorophyll-a concentration for the U.S. East Coast from the VIIRS instrument aboard the S-NPP satellite, 2012-present, is produced using the blue-green reflectance ratio empirical approach of O'Reilly et al. (1998), adjusting the algorithm for the VIIRS spectral bands. Specifically, the algorithm is a 3-band algorithm (OC3V) whose inputs are the water-leaving radiance at wavelengths of 443, 486, and 551 nm (NOAA VIIRS ATBD, 2017). Atmospheric correction uses the near-infrared (NIR) approach of Jiang and Wang (2014), referred to as the BMW atmospheric correction. The individual overpasses are composited into daily grids (~840m), then the median 7-day gridded chlorophyll-a is calculated from the daily grids. Data in the last year of the series represent near real-time data and are of lesser accuracy than the science-quality data of the years before the last year. Updates from near real-time to science-quality may occur more frequently than yearly. More info: https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, Default Algorithm, mg m^-3)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnNPPVIIRSSQchlaEastCoast7dayMedian_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnNPPVIIRSSQchlaEastCoast7dayMedian_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnNPPVIIRSSQchlaEastCoast7dayMedian/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnNPPVIIRSSQchlaEastCoast7dayMedian.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnNPPVIIRSSQchlaEastCoast7dayMedian
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoastAnnual https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoastAnnual.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnNPPVIIRSSQchlaEastCoastAnnual/request https://coastwatch.noaa.gov/erddap/files/noaacwecnNPPVIIRSSQchlaEastCoastAnnual/ Chlorophyll, NOAA S-NPP VIIRS, Science Quality, U.S. East Coast 750m, Level 3, 2012-present, Annual Annual average chlorophyll-a concentration for the U.S. East Coast from the VIIRS instrument aboard the S-NPP satellite, 2012-present, is produced using the blue-green reflectance ratio empirical approach of O'Reilly et al. (1998), adjusting the algorithm for the VIIRS spectral bands. Specifically, the algorithm is a 3-band algorithm (OC3V) whose inputs are the water-leaving radiance at wavelengths of 443, 486, and 551 nm (NOAA VIIRS ATBD, 2017). Atmospheric correction uses the near-infrared (NIR) approach of Jiang and Wang (2014), referred to as the BMW atmospheric correction. The individual overpasses are composited into daily mean grids (~840m), then the daily mean grids are averaged into annual gridded chlorophyll-a. More info: https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnNPPVIIRSSQchlaEastCoastAnnual_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnNPPVIIRSSQchlaEastCoastAnnual_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnNPPVIIRSSQchlaEastCoastAnnual/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnNPPVIIRSSQchlaEastCoastAnnual.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnNPPVIIRSSQchlaEastCoastAnnual
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoastSeasonal https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoastSeasonal.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnNPPVIIRSSQchlaEastCoastSeasonal/request https://coastwatch.noaa.gov/erddap/files/noaacwecnNPPVIIRSSQchlaEastCoastSeasonal/ Chlorophyll, NOAA S-NPP VIIRS, Science Quality, U.S. East Coast 750m, Level 3, 2012-present, Seasonal Seasonal average chlorophyll-a concentration for the U.S. East Coast from the VIIRS instrument aboard the S-NPP satellite, 2012-present, is produced using the blue-green reflectance ratio empirical approach of O'Reilly et al. (1998), adjusting the algorithm for the VIIRS spectral bands. Specifically, the algorithm is a 3-band algorithm (OC3V) whose inputs are the water-leaving radiance at wavelengths of 443, 486, and 551 nm (NOAA VIIRS ATBD, 2017). Atmospheric correction uses the near-infrared (NIR) approach of Jiang and Wang (2014), referred to as the BMW atmospheric correction. The individual overpasses are composited into daily mean grids (~840m), then the daily mean grids are averaged into seasonal gridded chlorophyll-a. Data in the last year of the series represent near real-time data and are of lesser accuracy than the science-quality data of the years before the last year. Seasons represent the periods January to March, April to June, July to September, and October to December. More info: https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, Default Algorithm, mg m^-3)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnNPPVIIRSSQchlaEastCoastSeasonal_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnNPPVIIRSSQchlaEastCoastSeasonal_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnNPPVIIRSSQchlaEastCoastSeasonal/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnNPPVIIRSSQchlaEastCoastSeasonal.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnNPPVIIRSSQchlaEastCoastSeasonal
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus20132019 https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus20132019.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus20132019/request Chlorophyll, NOAA S-NPP VIIRS, Science Quality, U.S. East Coast 750m, Level 3, 7-day Median Climatology 2012-2022 (minus 2013,2019) Climatological 7-day median chlorophyll-a concentration for the U.S. East Coast from the VIIRS instrument aboard the S-NPP satellite, 2012-2022, is produced using the blue-green reflectance ratio empirical approach of O'Reilly et al. (1998), adjusting the algorithm for the VIIRS spectral bands. Specifically, the algorithm is a 3-band algorithm (OC3V) whose inputs are the water-leaving radiance at wavelengths of 443, 486, and 551 nm (NOAA VIIRS ATBD, 2017). Atmospheric correction uses the near-infrared (NIR) approach of Jiang and Wang (2014), referred to as the BMW atmospheric correction. The individual overpasses are composited into daily grids (~840m) using a pixel closest-to-nadir approach. A 7-day median time series is calculated from the daily grids for all years 2012-2022, and then a climatology is calculated for each 7-day period (median), i.e. there are 52 7-day periods each representing a 2012-2022 chlorophyll median for that period. The years 2013 and 2019 are not included to accommodate a research project. More info: https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [sevenDayPeriodOfYear][level][latitude][longitude]):\nchlor_a (Climatological 7-day Median Chl, 2012-2022, mg m^-3)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus20132019_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus20132019_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus20132019/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus20132019.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus20132019
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus2019 https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus2019.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus2019/request Chlorophyll, NOAA S-NPP VIIRS, Science Quality, U.S. East Coast 750m, Level 3, 7-day Median Climatology 2012-2022 (minus 2019) Climatological 7-day median chlorophyll-a concentration, 2012-2022, for the U.S. East Coast, from the VIIRS instrument aboard the S-NPP satellite, is produced using the blue-green reflectance ratio empirical approach of O'Reilly et al. (1998), adjusting the algorithm for the VIIRS spectral bands. Specifically, the algorithm is a 3-band algorithm (OC3V) whose inputs are the water-leaving radiance at wavelengths of 443, 486, and 551 nm (NOAA VIIRS ATBD, 2017). Atmospheric correction uses the near-infrared (NIR) approach of Jiang and Wang (2014), referred to as the BMW atmospheric correction. The individual overpasses are composited into daily grids (~840m) using a pixel closest-to-nadir approach. A 7-day median time series is calculated from the daily grids for all years 2012-2022, and then a climatology is calculated for each 7-day period (median), i.e. there are 52 7-day periods each representing a 2012-2022 chlorophyll median for that period. The year 2019 is not included because of high outlier chlorophyll values due to extreme freshwater flow conditions that year. More info: https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [sevenDayPeriodOfYear][level][latitude][longitude]):\nchlor_a (Climatological 7-day Median Chl, 2012-2022, mg m^-3)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus2019_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus2019_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus2019/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_viirs_chl.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus2019.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnNPPVIIRSSQchlaEastCoast7dayClimatolMinus2019
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQkd490EastCoastAnnual https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQkd490EastCoastAnnual.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnNPPVIIRSSQkd490EastCoastAnnual/request https://coastwatch.noaa.gov/erddap/files/noaacwecnNPPVIIRSSQkd490EastCoastAnnual/ Kd490, NOAA S-NPP VIIRS, Science Quality, U.S. East Coast 750m, Level 3, 2012-present, Annual Annual average diffuse attenuation coefficient at 490nm (Kd490) for the U.S. East Coast, from the VIIRS instrument aboard the S-NPP satellite, 2012-present, is produced using the Wang et al. (2009) algorithm, in which separate algorithms for clear open ocean and turbid coastal waters are weighted into a combined product. This approach improves accuracy across ocean conditions. Atmospheric correction uses the near-infrared (NIR) approach of Jiang and Wang (2014), referred to as the BMW atmospheric correction. The individual overpasses are composited into daily mean grids (~840m), then the daily mean grids are averaged into annual gridded chlorophyll-a. More info: https://eastcoast.coastwatch.noaa.gov/cw_viirs_k490.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nkd_490 (Diffuse Attenuation Coefficient at 490 nm, m^-1)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnNPPVIIRSSQkd490EastCoastAnnual_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnNPPVIIRSSQkd490EastCoastAnnual_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnNPPVIIRSSQkd490EastCoastAnnual/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_viirs_k490.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnNPPVIIRSSQkd490EastCoastAnnual.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnNPPVIIRSSQkd490EastCoastAnnual
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQkd490EastCoastSeasonal https://coastwatch.noaa.gov/erddap/griddap/noaacwecnNPPVIIRSSQkd490EastCoastSeasonal.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnNPPVIIRSSQkd490EastCoastSeasonal/request https://coastwatch.noaa.gov/erddap/files/noaacwecnNPPVIIRSSQkd490EastCoastSeasonal/ Kd490, NOAA S-NPP VIIRS, Science Quality, U.S. East Coast 750m, Level 3, 2012-present, Seasonal Seasonal average diffuse attenuation coefficient at 490nm (Kd490) for the U.S. East Coast, from the VIIRS instrument aboard the S-NPP satellite, 2012-present, is produced using the Wang et al. (2009) algorithm, in which separate algorithms for clear open ocean and turbid coastal waters are weighted into a combined product. This approach improves accuracy across ocean conditions. Atmospheric correction uses the near-infrared (NIR) approach of Jiang and Wang (2014), referred to as the BMW atmospheric correction. The individual overpasses are composited into daily mean grids (~840m), then the daily mean grids are averaged into seasonal gridded chlorophyll-a. Data in the last year of the series represent near real-time data and are of lesser accuracy than the science-quality data of the years before the last year. Seasons represent the periods January to March, April to June, July to September, and October to December. More info: https://eastcoast.coastwatch.noaa.gov/cw_viirs_k490.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nkd_490 (Diffuse Attenuation Coefficient at 490 nm, m^-1)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnNPPVIIRSSQkd490EastCoastSeasonal_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnNPPVIIRSSQkd490EastCoastSeasonal_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnNPPVIIRSSQkd490EastCoastSeasonal/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_viirs_k490.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnNPPVIIRSSQkd490EastCoastSeasonal.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnNPPVIIRSSQkd490EastCoastSeasonal
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoast3Day https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoast3Day.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnAVHRRmultisatsstEastCoast3Day/request https://coastwatch.noaa.gov/erddap/files/noaacwecnAVHRRmultisatsstEastCoast3Day/ Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, 3-Day 3-day average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded 3-day temperature averages. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nsst (sea_surface_temperature, degree_C)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnAVHRRmultisatsstEastCoast3Day_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnAVHRRmultisatsstEastCoast3Day_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnAVHRRmultisatsstEastCoast3Day/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnAVHRRmultisatsstEastCoast3Day.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnAVHRRmultisatsstEastCoast3Day
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoast7Day https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoast7Day.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnAVHRRmultisatsstEastCoast7Day/request https://coastwatch.noaa.gov/erddap/files/noaacwecnAVHRRmultisatsstEastCoast7Day/ Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, 7-Day 7-day average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded 7-day temperature averages. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nsst (sea_surface_temperature, degree_C)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnAVHRRmultisatsstEastCoast7Day_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnAVHRRmultisatsstEastCoast7Day_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnAVHRRmultisatsstEastCoast7Day/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnAVHRRmultisatsstEastCoast7Day.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnAVHRRmultisatsstEastCoast7Day
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoastAnnual https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoastAnnual.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnAVHRRmultisatsstEastCoastAnnual/request https://coastwatch.noaa.gov/erddap/files/noaacwecnAVHRRmultisatsstEastCoastAnnual/ Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, Annual Annual average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded monthly temperature averages. Then the monthly temperatures are averaged into annual temperatures. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nsst (sea_surface_temperature, degree_C)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnAVHRRmultisatsstEastCoastAnnual_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnAVHRRmultisatsstEastCoastAnnual_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnAVHRRmultisatsstEastCoastAnnual/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnAVHRRmultisatsstEastCoastAnnual.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnAVHRRmultisatsstEastCoastAnnual
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoastMonthly https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoastMonthly.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnAVHRRmultisatsstEastCoastMonthly/request https://coastwatch.noaa.gov/erddap/files/noaacwecnAVHRRmultisatsstEastCoastMonthly/ Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, Monthly Monthly average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded monthly temperature averages. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nsst (sea_surface_temperature, degree_C)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnAVHRRmultisatsstEastCoastMonthly_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnAVHRRmultisatsstEastCoastMonthly_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnAVHRRmultisatsstEastCoastMonthly/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnAVHRRmultisatsstEastCoastMonthly.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnAVHRRmultisatsstEastCoastMonthly
https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoastSeasonal https://coastwatch.noaa.gov/erddap/griddap/noaacwecnAVHRRmultisatsstEastCoastSeasonal.graph https://coastwatch.noaa.gov/erddap/wms/noaacwecnAVHRRmultisatsstEastCoastSeasonal/request https://coastwatch.noaa.gov/erddap/files/noaacwecnAVHRRmultisatsstEastCoastSeasonal/ Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, Seasonal Seasonal average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded monthly temperature averages. Then the monthly temperatures are averaged into seasonal temperatures. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nsst (sea_surface_temperature, degree_C)\n https://coastwatch.noaa.gov/erddap/metadata/fgdc/xml/noaacwecnAVHRRmultisatsstEastCoastSeasonal_fgdc.xml https://coastwatch.noaa.gov/erddap/metadata/iso19115/xml/noaacwecnAVHRRmultisatsstEastCoastSeasonal_iso19115.xml https://coastwatch.noaa.gov/erddap/info/noaacwecnAVHRRmultisatsstEastCoastSeasonal/index.htmlTable https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php (external link) https://coastwatch.noaa.gov/erddap/rss/noaacwecnAVHRRmultisatsstEastCoastSeasonal.rss NOAA NESDIS CoastWatch East Coast Node noaacwecnAVHRRmultisatsstEastCoastSeasonal

 

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