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Description

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Office of Satellite and Product Operations (OSPO) using optimal interpolation (OI) on a global 0.054 degree grid.
The Geo-Polar Blended Sea Surface Temperature (SST) Analysis combines multi-satellite retrievals of sea surface temperature into a single analysis of SST. This analysis uses both daytime and nighttime data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Visible Infrared Imager Radiometer Suite (VIIRS), the Geostationary Operational Environmental Satellite (GOES) imager, the Japanese Advanced Meteorological Imager (JAMI) and in situ data from ships, drifting and moored buoys. This analysis was specifically produced to be used as a lower boundary condition in Numerical Weather Prediction (NWP) models. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.

Product Summary

Platforms
GOES-16 ,
Himawari-9 ,
GOES-15 ,
Suomi-NPP ,
METOP-B ,
METEOSAT-10
Instruments
ABI ,
AHI ,
GOES-15 Imager ,
VIIRS ,
AVHRR-3 ,
SEVIRI
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
0.05 Decimal Degrees x 0.05 Decimal Degrees
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2014-06-02
Data Partner
Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA (NASA/JPL/PODAAC) ,
Office of Satellite and Product Operations, NESDIS, NOAA, U.S. Department of Commerce (DOC/NOAA/NESDIS/OSPO)
Concept ID
C2036877754-POCLOUD
Data State
ACTIVE
Number of Files/Granules
4257
Processing Level
4
Published
Updated
Science Keywords
Sea Surface Temperature

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

OSPO. (2015). GHRSST Level 4 OSPO Global Foundation Sea Surface Temperature Analysis (GDS version 2) [Data set]. NASA Physical Oceanography Distributed Active Archive Center. https://doi.org/10.5067/GHGPB-4FO02 Date Accessed: 2026-05-31

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
Model sensitivity across scales: a case study of simulating an offshore low-level jet Hawbecker, Patrick, Lassman, William, Juliano, Timothy W., Kosovic, Branko, Haupt, Sue Ellen Sea Surface Temperature, Geopotential Height, Altitude, Surface Temperature, Skin Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone, Sea Surface Topography, Vertical Profiles, Ozone Profiles, Sea Surface Temperature, Sea Surface Temperature, Sea Surface Temperature, Sea Surface Temperature, Longwave Radiation, Shortwave Radiation, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Temperature, Soil Infiltration, Soil Infiltration, Soil Moisture/Water Content, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Evaporation, Surface Water, Runoff Rate, Average Flow, Average Flow, Precipitation, Snow/Ice, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI), Heat Flux, Heat Flux, Heat Flux, Heat Flux, Longwave Radiation, Shortwave Radiation, Water Vapor Tendency, Water Vapor Flux, Cloud Dynamics, Cloud Microphysics, Ice Fraction, Sea Surface Skin Temperature, Skin Temperature
Lessons learned in coupling atmospheric models across scales for onshore and offshore wind energy Haupt, Sue Ellen, Kosovic, Branko, Berg, Larry K., Kaul, Colleen M., Churchfield, Matthew, Mirocha, Jeffrey, Allaerts, Dries, Brummet, Thomas, Davis, Shannon, DeCastro, Amy, Dettling, Susan, Draxl, Caroline, Gagne, David John, Hawbecker, Patrick, Jha, Pankaj, Juliano, Timothy, Lassman, William, Quon, Eliot, Rai, Raj K., Robinson, Michael, Shaw, William, Thedin, Regis Sea Surface Temperature, Sea Surface Temperature, Sea Surface Temperature, Sea Surface Temperature, Sea Surface Temperature
Rotating horizontal convection Gayen, Bishakdatta, Griffiths, Ross W. Sea Surface Temperature
Simulating the Chesapeake Bay breeze: sensitivities to water surface temperature Hawbecker, Patrick, Knievel, Jason C. Sea Surface Temperature, Sea Surface Temperature, Sea Surface Temperature, Sea Surface Temperature, Sea Surface Temperature
A new high-resolution sea surface temperature blended analysis Harris, Andy, Mittaz, Jonathan, Sapper, John, Wick, Gary, Zhu, Xiaofang, Dash, Prasanjit, Koner, Prabhat Sea Surface Temperature
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Variables

The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.

For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor Offset
analysed_sst Analysed SST for each ocean grid point Kelvin short -32768 -200 to 3500 0.01 273.15
analysis_error Estimate of internal analysis accuracy Kelvin short -32768 0 to 500 0.01 273.15
lat equirectangular projection degrees_north float N/A -90 to 90 1 N/A
lon equirectangular projection degrees_east float N/A -180 to 180 1 N/A
mask b0: 1=grid cell is water, b1: 1=grid cell is land, b2: 1=grid cell is ice N/A byte 0 1 to 4 1 N/A
sea_ice_fraction Percentage of ice 1 byte -128 0 to 100 0.01 N/A
time Nominal time of Level 4 analysis seconds since 1981-01-01 00:00:00 int N/A N/A 1 N/A
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