nLw410, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw410, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_410 (Normalized water-leaving radiance at 410 nm, W m^-2 um^-1 sr^-1)


nLw410, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw410, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_410 (Normalized water-leaving radiance at 410 nm, W m^-2 um^-1 sr^-1)


nLw410, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Daily

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 412nm (nLw412), Global, Daily, EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_410 (Normalized Water-leaving Radiance at 410.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw410, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Weekly

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 412nm (nLw412), Global, Weekly, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_410 (Normalized Water-leaving Radiance at 410.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw443, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw443, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized water-leaving radiance at 443 nm, W m^-2 um^-1 sr^-1)


nLw443, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw443, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized water-leaving radiance at 443 nm, W m^-2 um^-1 sr^-1)


nLw443, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw443, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized water-leaving radiance at 443 nm, W m^-2 um^-1 sr^-1)


nLw443, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Daily

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 445nm (nLw445), Global, Daily, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized Water-leaving Radiance at 443.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw443, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Weekly

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 445nm (nLw445), Global, Weekly, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized Water-leaving Radiance at 443.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw486, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw486, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized water-leaving radiance at 486 nm, W m^-2 um^-1 sr^-1)


nLw486, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw486, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized water-leaving radiance at 486 nm, W m^-2 um^-1 sr^-1)


nLw486, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw486, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized water-leaving radiance at 486 nm, W m^-2 um^-1 sr^-1)


nLw486, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Daily

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 488nm (nLw488), Global, Daily, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized Water-leaving Radiance at 486.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw486, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Weekly

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 488nm (nLw488), Global, Weekly, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized Water-leaving Radiance at 486.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw551, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw551, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized water-leaving radiance at 551 nm, W m^-2 um^-1 sr^-1)


nLw551, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw551, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized water-leaving radiance at 551 nm, W m^-2 um^-1 sr^-1)


nLw551, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw551, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized water-leaving radiance at 551 nm, W m^-2 um^-1 sr^-1)


nLw551, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Daily

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 555nm (nLw555), Global, Daily, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized Water-leaving Radiance at 551.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw551, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Weekly

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 555nm (nLw555), Global, Weekly, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized Water-leaving Radiance at 551.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw638ag, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Daily

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 672nm (nLw672), Global, Weekly, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_638_ag (Normalized Water-leaving Radiance at 638.0 nm (aggregated from high resolution), mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw638ag, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Weekly


nLw671, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw671, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized water-leaving radiance at 671 nm, W m^-2 um^-1 sr^-1)


nLw671, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw671, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized water-leaving radiance at 671 nm, W m^-2 um^-1 sr^-1)


nLw671, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Summary:
Level-3 Standard Mapped Image (SMI), Global, 4km, nLw671, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized water-leaving radiance at 671 nm, W m^-2 um^-1 sr^-1)


nLw671, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Daily

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 672nm (nLw672), Global, Daily, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized Water-leaving Radiance at 671.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


nLw671, NOAA S-NPP, VIIRS, Near Real-Time, Global 4km, 2017-present,  Weekly

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Normalized Water-Leaving radiance at 672nm (nLw672), Global, Weekly, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized Water-leaving Radiance at 671.0 nm, mW cm^-2 um^-1 sr^-1)
graphics (graphics overlay planes)


NOAA Coral Reef Watch Daily Global 5km Satellite Bleaching Alert Area 7-day Maximum Composite

Summary:
This is a product of NOAA Coral Reef Watch Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mask (pixel characteristics flag array, pixel_classification)
bleaching_alert_area (bleaching alert area 7-day maximum composite, stress_level)

NOAA/NESDIS/STAR Coral Reef Watch Program


NOAA Coral Reef Watch Daily Global 5km Satellite Coral Bleaching Degree Heating Week

Summary:
This is a product of NOAA Coral Reef Watch Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mask (pixel characteristics flag array, pixel_classification)
degree_heating_week (degree_Celsius_weeks)


NOAA Coral Reef Watch Daily Global 5km Satellite Coral Bleaching HotSpot

Summary:
This is a product of NOAA Coral Reef Watch Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mask (pixel characteristics flag array, pixel_classification)
hotspot (coral bleaching hotspot, degree_C)


Ocean Heat Content Product Suite (North Atlantic), 0.25°

Summary:
The Satellite Ocean Heat Content (Office of Habitat Conservation (OHC)) Suite system produces two OHC files in ASCII and Network Common Data Format (NetCDF) where the output is defined on a 0.25 degree grid. For the daily files, the fields are: latitude, longitude, sea surface temperature (SST) in degrees Celsius, sea surface height anomaly (SSHA) in centimeters, mapping error, depths of 20degC (D20) and 26degC (D26) isotherms, ocean mixed layer depth (MLD), all in meters, and a satellite derived ocean heat content (OHC) in kJ/cm2. It runs once daily. OHC is mapped at 0.25 degree resolution with an accuracy within 10 to 15% of in situ data and a latency of 36 hours due to the receipt/processing required for the Sea Surface Height Anomaly data. Five GIF images were also to be created each day for OHC, SST, 20 degree isotherm, 26 degree isotherm, and Mixed Layer Depth.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ohc (ocean heat content, kJ cm^-2)
sst (sea surface temperature, degree_Celsius)
ssha (sea surface height above mean sea level, centimeter)
sshaE (error in objective analysis of sea surface height above mean sea level, 1)
iso20C (depth of the 20 degree Celsius isotherm, meter)
iso26C (depth of the 26 degree Celsius isotherm, meter)
omld (ocean mixed layer thickness, meter)
landmask (1)


Ocean Heat Content Product Suite (North Pacific), 0.25°, 2020-present


Ocean Heat Content Product Suite (South Pacific), 0.25°, 2020-present


Sea Surface Height Anomalies, Altimetry (S-3A/B,CryoSat2,Jason-2/3,SARAL), Delayed, Global 0.25°, 2012-2019, Daily

Summary:
The altimetry data are from RADS (http://rads.tudelft.nl/rads/rads.shtml), the Radar Altimetry Database System, first developed at Delft University of Technology, now also at the NOAA and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The RADS data for each mission is updated with state of the art corrections for tides, atmospheric path delay, etc. Because they are all computed consistently between the various missions, this avoids the possibility of introducing biases and drifts because of the different implementation of the various corrections by different agencies. The goals of RADS are to provide a homogenous dataset of sea level anomalies, wave heights, and wind speeds, along with database selection and analysis tools.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea Level Anomalies, m)


Sea Surface Height Anomalies, Altimetry (S-3A/B,CryoSat2,Jason-2/3,SARAL), Near Real-Time, Global 0.25°, 2017-present, Daily


Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, 3 Day Composite

Summary:
Sea Surface Salinity - Near Real Time - Miras SMOS 3-Day Mean. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the ESA MIRAS SMOS Level-2 swath Network Common Data Format (NetCDF) files (currently V6.62; see release "https://earth.esa.int/documents/10174/1854503/SMOS-Level-2-Ocean-Salinity-v662-release-note" ). There are two SSS variables in V6.62 L2 NetCDF files, SSS_corr (corrected for land-sea contamination) and SSS_uncorr. The CoastWatch L3 product ingests the SSS_corr  with values between 25 - 40 Practical Salinity Scale (PSS). These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sss (Sea Surface Salinity, PSU)
sss_dif (SMOS Sea Surface Salinity minus World Ocean Atlas Value, PSU)


Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, Daily

Summary:
Sea Surface Salinity - Near Real Time - Miras SMOS Daily Composite. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the ESA MIRAS SMOS Level-2 swath Network Common Data Format (NetCDF) files (currently V6.62; see release "https://earth.esa.int/documents/10174/1854503/SMOS-Level-2-Ocean-Salinity-v662-release-note" ). There are two SSS variables in V6.62 L2 NetCDF files, SSS_corr (corrected for land-sea contamination) and SSS_uncorr. The CoastWatch L3 product ingests the SSS_corr  with values between 25 - 40 Practical Salinity Scale (PSS). These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sss (Sea Surface Salinity, PSU)
sss_dif (SMOS Sea Surface Salinity minus World Ocean Atlas Value, PSU)
l2_time (Time from L2 files, seconds since 1970-01-01T00:00:00Z)
l2_lat (Latitude from L2 files, degrees_north)
l2_lon (Longitude from L2 files, degrees_north)


Sea Surface Salinity, SMAP, Near Real-Time, Global 0.25°, 2015-present, Daily

Summary:
Sea Surface Salinity - Near Real Time - SMAP Daily Composite. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the NASA Jet Propulsion Laboratory (JPL) SMAP Level-2B SSS near real time swath HDF5 files. These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sss (SMAP Sea Surface Salinity, PSU)
sss_dif (SMAP Sea Surface Salinity minus World Ocean Atlas Value, PSU)
ssw (SMAP Wind Speed, m/sec)
l2_time (Time from L2 files, seconds since 1970-01-01T00:00:00Z)
l2_lat (Latitude from L2 files, degrees_north)
l2_lon (Longitude from L2 files, degrees_north)


Sea Surface Temperature Anomaly, NOAA Coral Reef Watch Daily Global 5km Satellite SST Anomaly, 1985-present, Daily

Summary:
NOAA Coral Reef Watch (v3.1 CoralTemp) Daily Global 5km Satellite Sea Surface Temperature Anomaly. This is a product of NOAA Coral Reef Watch Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature_anomaly (degree_C)
mask (pixel characteristics flag array, pixel_classification)


Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, 3-Day

Summary:
3-day average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded 3-day temperature averages. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
sst (sea_surface_temperature, degree_C)


Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, 7-Day

Summary:
7-day average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded 7-day temperature averages. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
sst (sea_surface_temperature, degree_C)


Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, Annual

Summary:
Annual average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded monthly temperature averages. Then the monthly temperatures are averaged into annual temperatures. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
sst (sea_surface_temperature, degree_C)


Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, Monthly

Summary:
Monthly average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded monthly temperature averages. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
sst (sea_surface_temperature, degree_C)


Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, Seasonal

Summary:
Seasonal average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded monthly temperature averages. Then the monthly temperatures are averaged into seasonal temperatures. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr.php

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
sst (sea_surface_temperature, degree_C)


Sea Surface Temperature, Multi-scale Ultra-high Resolution (MUR JPL), Annually Composited 1km East Coast EEZ, 2003-2021

Summary:
Jet Propulsion Laboratory data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
sst (Analysed SST with land and ice masks applied, degree_C)


Sea Surface Temperature, Multi-scale Ultra-high Resolution (MUR JPL), Daily 1km East Coast EEZ, 2003-2021

Summary:
Jet Propulsion Laboratory SST MUR data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
sst (Analysed SST with land and ice masks applied, degree_C)


Sea Surface Temperature, Multi-scale Ultra-high Resolution (MUR JPL), Monthly Composited East Coast EEZ 1km, 2003-2021


Sea Surface Temperature, NOAA Coral Reef Watch Daily Global 5km Satellite SST (CoralTemp), 1985-present, Daily

Summary:
NOAA Coral Reef Watch Daily (v3.1) Global 5km Satellite Sea Surface Temperature (CoralTemp). CoralTemp is derived from three different but related 5km daily gap-free SST data sets and provides an internally consistent SST product that stretches from 1985 to present: Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) Sea Surface Temperature Reanalysis (1985-2002), Geo-Polar Blended Night-only Sea Surface Temperature Reanalysis (2002-2016), Geo-Polar Blended Night-only Sea Surface Temperature Near Real-Time (2017 to present).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (analysed sea surface temperature, degree_C)
sea_ice_fraction (1)


Sea Surface Wind Stress, NOAA NCEI blended 6 hour averaged 0.25° Version 2.0, Near Real-time (last ~45 days), 6 hour

Summary:
This netCDF file  contains 0.25-degree globally gridded and 6-hourly ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI) using wind directions estimated from GFS0.25 Forecast Wind vectors.The dataset covers from July 1987 to present with quasi-daily updates. Averaged daily and monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau
y_tau
mask (Blended Wind land/ocean/lake/river/model mask, degrees)


Sea Surface Wind Stress, NOAA NCEI blended 6 hour averaged 0.25° Version 2.0, Science Quality (1987-recent), 6 hour

Summary:
This netCDF file  contains 0.25-degree globally gridded and 6-hourly ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI) using wind directions estimated from ERA-5 Wind vectors.The dataset covers from July 1987 to present with quasi-daily updates. Averaged daily and monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau (Sea Surface Wind Stress: x-component, N m-2)
y_tau (Sea Surface Wind Stress: y-component, N m-2)
mask (Blended Wind land/ocean/lake/river/model mask)


Sea Surface Wind Stress, NOAA NCEI blended daily averaged 0.25° Version 2.0, Near Real-time (last ~45 days), Daily

Summary:
This netCDF file  contains 0.25-degree globally gridded daily mean ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. 6-hourly and averaged monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau
y_tau
mask (Blended Wind land/ocean/lake/river mask, degrees)


Sea Surface Wind Stress, NOAA NCEI blended daily averaged 0.25° Version 2.0, Science Quality (1987-recent), Daily

Summary:
This netCDF file  contains 0.25-degree globally gridded daily mean ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. 6-hourly and averaged monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau (Sea Surface Wind Stress: x-component, N m-2)
y_tau (Sea Surface Wind Stress: y-component, N m-2)
mask (Blended Wind land/ocean/lake/river mask)


Sea Surface Wind Stress, NOAA NCEI blended monthly averaged 0.25° Version 2.0, Science Quality (1987-recent), Monthly

Summary:
This netCDF file  contains 0.25-degree globally gridded Monthly mean ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI). The dataset covers from July 1987 to present, with monthly resolution in this dataset. 6-hourly and averaged daily data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau (Sea Surface Wind Stress: x-component, N m-2)
y_tau (Sea Surface Wind Stress: y-component, N m-2)
mask (Blended Wind land/ocean/lake/river mask)


Sea Surface Wind, NOAA NCEI blended 6hr averaged 0.25° Version 2.0, Near real-time (last ~45 days), 6 hour

Summary:
This netCDF file  contains 0.25-degree globally gridded and 6-hourly ocean surface vector winds created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. Averaged daily and monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
u_wind (zonal wind component, m s-1)
v_wind (meridional wind component, m s-1)
mask (Blended Wind land/ocean/lake/river/model mask, degrees)


Sea Surface Wind, NOAA NCEI blended 6hr averaged 0.25° Version 2.0, Science Quality (1987-recent), 6 hour

Summary:
This netCDF file  contains 0.25-degree globally gridded and 6-hourly ocean surface vector winds created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. Averaged daily and monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
u_wind (zonal wind component, m s-1)
v_wind (meridional wind component, m s-1)
mask (Blended Wind land/ocean/lake/river/model mask)


Sea Surface Wind, NOAA NCEI blended daily averaged 0.25° Version 2.0, Near real-time (last ~45 days), Daily

Summary:
This netCDF file  contains 0.25-degree globally gridded daily mean ocean surface vector winds created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. 6-hourly and averaged monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
windspeed (magnitude of the wind velocity, m s-1)
mask (Blended Wind land/ocean/lake/river mask)
u_wind (zonal wind component, m s-1)
v_wind (meridional wind component, m s-1)


Sea Surface Wind, NOAA NCEI blended daily averaged 0.25° Version 2.0, Science Quality (1987-recent), Daily


Sea Surface Wind, NOAA NCEI blended monthly averaged 0.25° Version 2.0, Science Quality (1987-recent), Monthly

Summary:
This netCDF file  contains 0.25-degree globally gridded Monthly mean ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI). The dataset covers from July 1987 to present, with monthly resolution in this dataset. 6-hourly and averaged daily data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
windspeed (magnitude of the wind velocity, m s-1)
mask (Blended Wind land/ocean/lake/river mask)
u_wind (zonal wind component, m s-1)
v_wind (meridional wind component, m s-1)


Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts Reanalysis, 2012-present, Daily (L3S-LEO degrees C)

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, degree_C)
sses_bias (SSES bias estimate, degree_C)
sses_standard_deviation (degree_C)
l2p_flags
l3s_flags
sst_count (Count of input L3U SST pixels)
quality_level (quality level of SST pixel)
sst_source (Source of major (highest weight) contribution to sst)
satellite_zenith_angle (degrees)
dt_analysis (deviation from SST reference, kelvin)
sea_ice_fraction (1)
wind_speed (m s-1)
sst_dtime (time difference from reference time, seconds)
measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds)
sst_gradient_magnitude (SST gradient magnitude value, kelvin/km)
sst_front_position (Binary SST front position indicator)


Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts Reanalysis, 2012-present, Daily (L3S-LEO Kelvin)

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, kelvin)
sses_bias (SSES bias estimate, kelvin)
sses_standard_deviation (kelvin)
l2p_flags
l3s_flags
sst_count (Count of input L3U SST pixels)
quality_level (quality level of SST pixel)
sst_source (Source of major (highest weight) contribution to sst)
satellite_zenith_angle (degrees)
dt_analysis (deviation from SST reference, kelvin)
sea_ice_fraction (1)
wind_speed (m s-1)
sst_dtime (time difference from reference time, seconds)
measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds)
sst_gradient_magnitude (SST gradient magnitude value, kelvin/km)
sst_front_position (Binary SST front position indicator)


Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near real-time, Daily (L3S-LEO degrees C)


Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near Real-time, Daily (L3S-LEO Kelvin)


Sea-Surface Temperature, NOAA ACSPO NOAA-20 VIIRS CoastWatch Co-gridded 4km Daily (degrees C)

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from Visible and Infrared Imager/Radiometer Suite (VIIRS) sensor

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, degree_C)


Sea-Surface Temperature, NOAA ACSPO S-NPP VIIRS CoastWatch Co-gridded 4km Daily (degrees C)

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from Visi                                      ble and Infrared Imager/Radiometer Suite (VIIRS) sensor

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, degree_C)


Sea-Surface Temperature, NOAA Geo-polar Blended Analysis Day+Night, GHRSST, Near Real-Time, Global 5km, 2019-Present, Daily

Summary:
Analysed blended sea surface temperature over the global ocean using day and night input data. An SST estimation scheme which combines multi-satellite retrievals of sea surface temperature datasets available from polar orbiters, geostationary InfraRed (IR) and microwave sensors into a single global analysis. This global SST ananlysis provide a daily gap free map of the foundation sea surface temperature at 0.05o spatial resolution.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (analysed sea surface temperature, degree_C)
analysis_error (estimated error standard deviation of analysed_sst, degree_C)
sea_ice_fraction (1)
mask (sea/land/ice bit mask)


Sea-Surface Temperature, NOAA Geo-polar Blended Analysis Diurnal Correction (Day+Night), GHRSST, Near Real-Time, Global 5km, 2019-Present, Daily

Summary:
Analysed blended sea surface temperature over the global ocean using day and night input data. An SST estimation scheme which combines multi-satellite retrievals of sea surface temperature datasets available from polar orbiters, geostationary InfraRed (IR) and microwave sensors into a single global analysis. This global SST ananlysis provide a daily gap free map of the foundation sea surface temperature at 0.05o spatial resolution.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysis_error (estimated error standard deviation of analysed_sst, degree_C)
sea_ice_fraction (1)
mask (sea/land/ice bit mask)
analysed_sst (analysed sea surface temperature, degree_C)


Sea-Surface Temperature, NOAA Geo-polar Blended Analysis Night Only, GHRSST, Near Real-Time, Global 5km, 2002-Present, Daily

Summary:
Analyzed blended sea surface temperature over the global ocean using night only input data. An SST estimation scheme which combines multi-satellite retrieva
ls of sea surface temperature datasets available from polar orbiters, geostationary InfraRed (IR) and microwave sensors into a single global analysis. This global SST analysis provides
 a daily gap-free map of the foundation sea surface temperature at 0.05Âº spatial resolution. Note 2002-2016 is a reanalysis.  2017-present is near real-time processing.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (analysed sea surface temperature, kelvin)
analysis_error (estimated error standard deviation of analysed_sst, degree_C)
mask (sea/land/ice bit mask)
sea_ice_fraction (1)


Sea-Surface Temperature, NOAA Geo-polar Blended Analysis Night Only, GHRSST, Near Real-Time, Global 5km, 2002-Present, Daily (degree C)

Summary:
Analyzed blended sea surface temperature over the global ocean using night only input data. An SST estimation scheme which combines multi-satellite retrieva
ls of sea surface temperature datasets available from polar orbiters, geostationary InfraRed (IR) and microwave sensors into a single global analysis. This global SST analysis provides
 a daily gap-free map of the foundation sea surface temperature at 0.05Âº spatial resolution. Note 2002-2016 is a reanalysis.  2017-present is near real-time processing.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (analysed sea surface temperature, degree_C)
analysis_error (estimated error standard deviation of analysed_sst, kelvin)
mask (sea/land/ice bit mask)
sea_ice_fraction (1)


Soil Moisture, NOAA Soil Moisture Products System (SMOPS) Climate Data Record, 25km, Global, Daily

Summary:
Science Lead: Jifu Yin, UMD/ESSIC/CISESS, jifu.yin@noaa.gov

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sm (SMOPS Climate Data Record Soil Moisture, m^3/m^3)
q_flag (Quality flag)

NOAA/NESDIS Center for Satellite Applications and Research


Suspended Particulate Matter (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 2km, 2018-recent, Daily

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP and NOAA-20 (VIIRS) and Sentinel-3A OLCI DINEOF gap filled L4 data. NOAA National Environmental Satellite, Data, and Information Service (NESDIS) STAR data. Sentinel-3A courtesy of Copernicus Program

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
spm (Wei, J., Wang, M., Jiang, L., Yu, X., Mikelsons, K., Shen, F., 2021. Global estimation of suspended particulate matter from satellite ocean color imagery. J. Geophys. Res. Oceans 126, e2021JC017303, 10.1029/2021JC017303., mg L^-1)


Suspended Particulate Matter (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 9km, 2018-recent, Daily

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP and NOAA-20 (VIIRS) and Sentinel-3A OLCI DINEOF gap filled L4 data. NOAA National Environmental Satellite, Data, and Information Service (NESDIS) STAR data. Sentinel-3A courtesy of Copernicus Program

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
spm (Suspended Particulate Matter, mg l-1)


zChlorophyll-a, Sentinel-3 experimental product for Chesapeake Bay, up to 10 day composite, 300m

Summary:
Copernicus Program data processed and composited by NOAA NCCOS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
chlora (Chlorophyll-a from 2-band RE10 Coastal Processing, mg m^-3)


ZZ Special Project Copernicus Program S-3A OLCI Chlorophyll and Reflectance for Puerto Rico 2017-2019 ZZ

Summary:
Copernicus Program select products for Puerto Rico

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
CHL_OC4ME (log10 scaled (OC4ME) Algal pigment concentration, lg(re mg.m-3))
Oa03_reflectance (Reflectance for OLCI acquisition band Oa03)
Oa06_reflectance (Reflectance for OLCI acquisition band Oa06)
swath_latitude (DEM corrected latitude, degrees_north)
swath_longitude (DEM corrected longitude, degrees_east)


ZZ Special Project Copernicus Program S-3A+B OLCI Chlorophyll-a and Reflectance for Puerto Rico ZZ


ZZ Special Project Copernicus Program S-3B OLCI Chlorophyll and Reflectance for Puerto Rico 2017-2019 ZZ