VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, K490, v2016, 2012-2017, 8-Day, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Diffuse Attenuation Coefficient K490, 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
k490 (Diffuse attenuation coefficient at 490 nm, KD2 algorithm, m^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, K490, v2016, 2012-2017, 8-Day, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, K490, v2016, 2012-2017, Daily, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Diffuse Attenuation Coefficient K490, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
k490 (Diffuse attenuation coefficient at 490 nm, KD2 algorithm, m^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, K490, v2016, 2012-2017, Daily, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, K490, v2016, 2012-2017, Monthly, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Diffuse Attenuation Coefficient K490, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
k490 (Diffuse attenuation coefficient at 490 nm, KD2 algorithm, m^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, K490, v2016, 2012-2017, Monthly, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, R2018, 2012-present, 8-Day

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Photosynthetically Available Radiation (PAR), 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
par (Photosynthetically Available Radiation, R. Frouin, einstein m^-2 day^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, R2018, 2012-present, 8-Day, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, R2018, 2012-present, Daily

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Photosynthetically Available Radiation (PAR), Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
par (Photosynthetically Available Radiation, R. Frouin, einstein m^-2 day^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, R2018, 2012-present, Daily, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, R2018, 2012-present, Monthly

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Photosynthetically Available Radiation (PAR), Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
par (Photosynthetically Available Radiation, R. Frouin, einstein m^-2 day^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, R2018, 2012-present, Monthly, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, v2016, 2012-2017, 8-Day, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Photosynthetically Available Radiation (PAR), 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
par (Photosynthetically Available Radiation, R. Frouin, einstein m^-2 day^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, v2016, 2012-2017, 8-Day, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, v2016, 2012-2017, Daily, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Photosynthetically Available Radiation (PAR), Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
par (Photosynthetically Available Radiation, R. Frouin, einstein m^-2 day^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, v2016, 2012-2017, Daily, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, v2016, 2012-2017, Monthly, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Photosynthetically Available Radiation (PAR), Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
par (Photosynthetically Available Radiation, R. Frouin, einstein m^-2 day^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PAR, v2016, 2012-2017, Monthly, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, R2018, 2012-present, 8-Day

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC), 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pic (Calcite Concentration, Balch and Gordon, mol m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, R2018, 2012-present, 8-Day, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, R2018, 2012-present, Daily

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC), Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pic (Calcite Concentration, Balch and Gordon, mol m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, R2018, 2012-present, Daily, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, R2018, 2012-present, Monthly

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC), Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pic (Calcite Concentration, Balch and Gordon, mol m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, R2018, 2012-present, Monthly, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, v2016, 2012-2017, 8-Day, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC), 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pic (Calcite Concentration, Balch and Gordon, mol m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, v2016, 2012-2017, 8-Day, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, v2016, 2012-2017, Daily, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC), Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pic (Calcite Concentration, Balch and Gordon, mol m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, v2016, 2012-2017, Daily, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, v2016, 2012-2017, Monthly, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC), Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pic (Calcite Concentration, Balch and Gordon, mol m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, v2016, 2012-2017, Monthly, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, R2018, 2012-present, 8-Day

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, R2018, 2012-present, 8-Day, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, R2018, 2012-present, Daily

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, R2018, 2012-present, Daily, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, R2018, 2012-present, Monthly

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, R2018, 2012-present, Monthly, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, v2016, 2012-2017, 8-Day, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, v2016, 2012-2017, 8-Day, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, v2016, 2012-2017, Daily, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, v2016, 2012-2017, Daily, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, v2016, 2012-2017, Monthly, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, v2016, 2012-2017, Monthly, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, R2018, 2012-present, 8-Day

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Remote Sensing Reflectance at 671 nm, 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
r671 (Remote sensing reflectance at 671 nm, sr^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, R2018, 2012-present, 8-Day, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, R2018, 2012-present, Daily

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Remote Sensing Reflectance at 671 nm, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
r671 (Remote sensing reflectance at 671 nm, sr^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, R2018, 2012-present, Daily, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, R2018, 2012-present, Monthly

R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Remote Sensing Reflectance at 671 nm, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
r671 (Remote sensing reflectance at 671 nm, sr^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, R2018, 2012-present, Monthly, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, v2016, 2012-2017, 8-Day, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Remote Sensing Reflectance at 671 nm, 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
r671 (Remote sensing reflectance at 671 nm, sr^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, v2016, 2012-2017, 8-Day, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, v2016, 2012-2017, Daily, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Remote Sensing Reflectance at 671 nm, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
r671 (Remote sensing reflectance at 671 nm, sr^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, v2016, 2012-2017, Daily, DEPRECATED, Lon0360


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, v2016, 2012-2017, Monthly, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Remote Sensing Reflectance at 671 nm, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2016-04-01.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
r671 (Remote sensing reflectance at 671 nm, sr^-1)


VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Reflectance at 671 nm, v2016, 2012-2017, Monthly, DEPRECATED, Lon0360


Virginia Beach Tsunami Forecast Grids for MOST Model (VirginiaBeachVA A)

Virginia Beach Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)

NOAA OAR PMEL Center for Tsunami Research


Virginia Beach Tsunami Forecast Grids for MOST Model (VirginiaBeachVA B), 0.005°


Virginia Beach Tsunami Forecast Grids for MOST Model (VirginiaBeachVA C)


Virginia Beach, Virginia Coastal Digital Elevation Model (virginia beach 13 mhw 2007), 9.259259E-5°

Virginia Beach, Virginia Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/423; Virginia Beach, VA 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vpstr.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/LTMs1950-1979/vpstr.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpstr (v-wind pseudoStress Monthly Long Term Mean at Surface, m^2/s^2)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vpstr.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/enh/LTMs1950-1979/vpstr.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpstr (v-wind pseudoStress Monthly Long Term Mean at Surface, m^2/s^2)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vpstr.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/LTMs1950-1979/vpstr.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpstr (v-wind pseudoStress Monthly Long Term Mean at Surface, m^2/s^2)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vpstr.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/enh/LTMs1950-1979/vpstr.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpstr (v-wind pseudoStress Monthly Long Term Mean at Surface, m^2/s^2)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vpstr.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/enh/LTMs1950-1979/vpstr.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpstr (v-wind pseudoStress Monthly Long Term Mean at Surface, m^2/s^2)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vpstr.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/LTMs1950-1979/vpstr.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpstr (v-wind pseudoStress Monthly Long Term Mean at Surface, m^2/s^2)


vvel.hl1.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (vvel.hl1.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
vvel (Long Term Monthly Mean Pressure Vertical Velocity, Pa/s)

National Centers for Environmental Prediction


Monthly NARR (vvel.hl1.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


vwnd.10m.day.ltm (Daily NARR) [time][y][x], 0001

Daily NARR (vwnd.10m.day.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/vwnd.10m.day.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
vwnd (Daily long term mean v-wind at 10 m: Smoothed, m/s)


Daily NARR (vwnd.10m.day.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/vwnd.10m.day.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


vwnd.10m.mon.1981-2010.ltm (monthly mean u wind), 0001

monthly mean u wind. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vwnd (Monthly Long Term Mean V wind at 10 m, m/s)
valid_yr_count (count of non-missing values used in mean)


vwnd.10m.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (vwnd.10m.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
vwnd (Monthly Long Term Mean v-wind at 10 m, m/s)


Monthly NARR (vwnd.10m.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


Daily NARR (vwnd.day.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/pressure/vwnd.day.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][y][x]):
vwnd (Daily Long Term Mean V-wind on Pressure Levels, m/s)
not_missing_count (count of non-missing values used in mean)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vwnd.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/LTMs1950-1979/vwnd.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vwnd (v-wind Monthly Long Term Mean at Surface, m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vwnd.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/LTMs1950-1979/vwnd.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vwnd (v-wind Monthly Long Term Mean at Surface, m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vwnd.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/enh/LTMs1950-1979/vwnd.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vwnd (v-wind Monthly Long Term Mean at Surface, m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vwnd.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/enh/LTMs1950-1979/vwnd.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vwnd (v-wind Monthly Long Term Mean at Surface, m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vwnd.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/enh/LTMs1950-1979/vwnd.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vwnd (v-wind Monthly Long Term Mean at Surface, m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (vwnd.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/LTMs1950-1979/vwnd.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vwnd (v-wind Monthly Long Term Mean at Surface, m/s)


vwsh.tropo.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (vwsh.tropo.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
vwsh (Long Term Monthly Mean Vertical Speed Shear, 1/s)

National Centers for Environmental Prediction


vwsh.tropo.mon.ltm (Monthly NARR) [y][x]

Monthly NARR (vwsh.tropo.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


vwsh.tropo.mon.mean (NARR Monthly Means) [time][y][x], 1979-present

NARR Monthly Means (vwsh.tropo.mon.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
vwsh (Monthly Vertical Speed Shear, 1/s)


vwsh.tropo.mon.mean (NARR Monthly Means) [y][x]

NARR Monthly Means (vwsh.tropo.mon.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


w12.molefrac. NOAA Earth System Research Laboratory (ESRL) data from https://psl.noaa.gov/thredds/dodsC/Datasets/CarbonTracker/w12.molefrac.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
co2 (Mole Fraction Of Carbon Dioxide In Air, micromol mol-1)
pressure (Air Pressure, pascal)


Wake Island Coastal Digital Elevation Model (wake island 13 mhw 2009), 9.259259E-5°

Wake Island Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/634; Wake Island 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Wake Island Coastal Digital Elevation Model (wake island 3 mhw 2009), 8.3333335E-4°

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/636; Wake Island 3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Wake Island Tsunami Forecast Grids for MOST Model (WakeIsland A), 0.008333333°

Wake Island Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)

NOAA OAR PMEL Center for Tsunami Research


Wake Island Tsunami Forecast Grids for MOST Model (WakeIsland B), 8.333333E-4°


Wake Island Tsunami Forecast Grids for MOST Model (WakeIsland C), 2.7777778E-4°


Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) 7-day model with a 5-day hourly forecast at approximately 50-km or 0.5-deg resolution. The global model is forced with NOAA/NCEP's Global Forecast System (GFS) winds. This model is designed to capture the large-scale ocean waves and provide spectral boundary conditions for the Hawaii and other Pacific regional WW3 models. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)

Pacific Islands Ocean Observing System (PacIOOS)


WaveWatch III (WW3) Global Wave Model, Lon+/-180


WaveWatch III (WW3) Hawaii Regional Wave Model

Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Hawaii regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. Hawaii WW3 is forced with winds from the University of Hawaii Meteorology Department's operational mesoscale model, which has a more suitable spatial resolution than the global scale wind field. The Hawaii regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Hawaii Regional Wave Model, Lon+/-180


WaveWatch III (WW3) Mariana Regional Wave Model

Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Mariana Islands regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. The Mariana regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Northwestern Hawaiian Islands (NWHI) Regional Wave Model

Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Northwestern Hawaiian Islands (NWHI) regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. NWHI WW3 is forced with winds from the University of Hawaii Meteorology Department's operational mesoscale model, which has a more suitable spatial resolution than the global scale wind field. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Northwestern Hawaiian Islands (NWHI) Regional Wave Model, Lon+/-180


WaveWatch III (WW3) Samoa Regional Wave Model

Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Samoa regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. The Samoa regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Samoa Regional Wave Model, Lon+/-180


wcconv.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
wcconv (Long Term Monthly Mean Water Condensate Flux Convergence Accumulation at Entire Atmosphere Considered as a Single Layer, kg/m^2)

National Centers for Environmental Prediction


Monthly NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


wcinc.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
wcinc (Long Term Monthly Mean Water Condensate Added by Precip. Assimilation Accumulation at Entire Atmosphere Considered as a Single Layer, kg/m^2)


wcuflx.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
wcuflx (Long Term Monthly Mean Water Condensate Zonal Flux Accumulation at Entire Atmosphere Considered as a Single Layer, kg/m)


wcvflx.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
wcvflx (Long Term Monthly Mean Water Condensate Meridional Flux Accumulation at Entire Atmosphere Considered as a Single Layer, kg/m)


weasd.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (weasd.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/weasd.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
weasd (Long Term Monthly Mean Accumulated Snow at Surface, kg/m^2)


Monthly NARR (weasd.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/weasd.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


weasd.sfc.mon.1981-2010.ltm (NCEP-NCAR Reanalysis 1), 0001

National Centers for Environmental Prediction (NCEP)-National Center for Atmospheric Research (NCAR) Reanalysis 1. Data is from NCEP initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
weasd (Long Term Mean Monthly Mean Water Equiv. of Accum. Snow Depth at surface, kg/m^2)
valid_yr_count (count of non-missing values used in mean)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: CNMI

Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the Commonwealth of the Northern Mariana Islands (CNMI) at approximately 12-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)

Pacific Islands Ocean Observing System (PacIOOS)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Guam

Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the island of Guam at approximately 3-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Main Hawaiian Islands

Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the Main Hawaiian Islands (MHI) at approximately 6-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Maui-Oahu

Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the Hawaiian islands of Oahu, Maui, Molokai, Lanai, and Kahoolawe at approximately 2-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Oahu

Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 3.5-day hourly forecast for the region surrounding the Hawaiian island of Oahu at approximately 1.5-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Samoa

Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the islands of Samoa at approximately 3-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


West Coast Operational Forecast System (WCOFS): Forecast, Fields (Best Time Series) [boundary]

West Coast Operational Forecast System (WCOFS): Forecast - Fields. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [boundary]):
FSobc_in (free-surface inflow, nudging inverse time scale, second-1)
FSobc_out (free-surface outflow, nudging inverse time scale, second-1)
M2obc_in (2D momentum inflow, nudging inverse time scale, second-1)
M2obc_out (2D momentum outflow, nudging inverse time scale, second-1)
M3obc_in (3D momentum inflow, nudging inverse time scale, second-1)
M3obc_out (3D momentum outflow, nudging inverse time scale, second-1)


West Coast Operational Forecast System (WCOFS): Forecast, Fields (Best Time Series) [boundary][tracer]

West Coast Operational Forecast System (WCOFS): Forecast - Fields. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [boundary][tracer]):
Tobc_in (tracers inflow, nudging inverse time scale, second-1)
Tobc_out (tracers outflow, nudging inverse time scale, second-1)


West Coast Operational Forecast System (WCOFS): Forecast, Fields (Best Time Series) [eta_psi][xi_psi]

West Coast Operational Forecast System (WCOFS): Forecast - Fields. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [eta_psi][xi_psi]):
lon_psi (longitude of PSI-points, degrees_east)
lat_psi (latitude of PSI-points, degrees_north)
mask_psi (mask on PSI-points)


West Coast Operational Forecast System (WCOFS): Forecast, Fields (Best Time Series) [eta_rho][xi_rho]

West Coast Operational Forecast System (WCOFS): Forecast - Fields. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [eta_rho][xi_rho]):
lon_rho (longitude of RHO-points, degrees_east)
lat_rho (latitude of RHO-points, degrees_north)
h (time-independent bathymetry, meter)
f (Coriolis parameter, second-1)
pm (curvilinear coordinate metric in XI, meter-1)
pn (curvilinear coordinate metric in ETA, meter-1)
angle (angle between XI-axis and EAST, radians)
mask_rho (mask on RHO-points)


West Coast Operational Forecast System (WCOFS): Forecast, Fields (Best Time Series) [eta_u][xi_u]

West Coast Operational Forecast System (WCOFS): Forecast - Fields. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [eta_u][xi_u]):
lon_u (longitude of U-points, degrees_east)
lat_u (latitude of U-points, degrees_north)
mask_u (mask on U-points)


West Coast Operational Forecast System (WCOFS): Forecast, Fields (Best Time Series) [eta_v][xi_v]

West Coast Operational Forecast System (WCOFS): Forecast - Fields. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [eta_v][xi_v]):
lon_v (longitude of V-points, degrees_east)
lat_v (latitude of V-points, degrees_north)
mask_v (mask on V-points)


West Coast Operational Forecast System (WCOFS): Forecast, Fields (Best Time Series) [s_rho]

West Coast Operational Forecast System (WCOFS): Forecast - Fields. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [s_rho]):
Cs_r (S-coordinate stretching curves at RHO-points)


West Coast Operational Forecast System (WCOFS): Forecast, Fields (Best Time Series) [s_w]

West Coast Operational Forecast System (WCOFS): Forecast - Fields. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [s_w]):
Cs_w (S-coordinate stretching curves at W-points)


West Coast Operational Forecast System (WCOFS): Forecast, Fields (Best Time Series) [tracer]

West Coast Operational Forecast System (WCOFS): Forecast - Fields. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [tracer]):
nl_tnu2 (nonlinear model Laplacian mixing coefficient for tracers, meter2 second-1)
LtracerSponge (horizontal diffusivity sponge activation switch)
Akt_bak (background vertical mixing coefficient for tracers, meter2 second-1)
Tnudg (Tracers nudging/relaxation inverse time scale, day-1)
LtracerSrc (tracer point sources and sink activation switch)
LtracerCLM (tracer climatology processing switch)
LnudgeTCLM (tracer climatology nudging activation switch)


Westport, Washington Tsunami Forecast Grids for MOST Model (WestportWA A)

Westport, Washington Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)

NOAA OAR PMEL Center for Tsunami Research


Westport, Washington Tsunami Forecast Grids for MOST Model (WestportWA B), 0.005°


Westport, Washington Tsunami Forecast Grids for MOST Model (WestportWA C)


Whittier, Alaska Coastal Digital Elevation Model (whittier 815 mhhw 2009), 1.4814814E-4°

Whittier, Alaska Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/530; Whittier, AK 8/15 arc-second MHHW DEM; Download page for accessing DEM, metadata record and development report.; download


Willapa Bay (P270) Bathymetric Digital Elevation Model (willapa bay P270 2018), 9.259259E-5°

Willapa Bay (P270) Bathymetric Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day), Lon+/-180


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day), Lon+/-180


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day), Lon+/-180


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day), Lon+/-180


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (1 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (1 Day), Lon+/-180


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (14 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (14 Day), Lon+/-180


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (3 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (3 Day), Lon+/-180


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (8 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (8 Day), Lon+/-180


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (Monthly)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (Monthly), Lon+/-180


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day), Lon+/-180


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day), Lon+/-180


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day), Lon+/-180


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day), Lon+/-180


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (1 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (1 Day), Lon+/-180


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (14 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (14 Day), Lon+/-180


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (3 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (3 Day), Lon+/-180


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (8 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Meridional Wind Diffusivity Current, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (8 Day), Lon+/-180


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (Monthly)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
u_current (Zonal Wind Diffusivity Current, m s-1)
v_current (Wind Diffusivity Current Meridional, m s-1)
mod_current (Modulus of Wind Diffusivity Current, m s-1)


Wind Diffusivity Current, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (Monthly), Lon+/-180


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day), Lon+/-180


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day), Lon+/-180


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day), Lon+/-180


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day), Lon+/-180


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (1 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (1 Day), Lon+/-180


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (14 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (14 Day), Lon+/-180


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (3 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (3 Day), Lon+/-180


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (8 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (8 Day), Lon+/-180


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (Monthly)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (Monthly), Lon+/-180


Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins 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.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day), Lon+/-180