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Description

A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.09-degree grid at Remote Sensing Systems. This product uses optimal interpolation (OI) from microwave (MW) sensors including the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the WindSat on the Coriolis satellite, the Global Precipitation Measurement (GPM) Microwave Imager (GMI), and the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, as well as infrared (IR) sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms and the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi-NPP and NOAA-20 satellites. These MW sensors are used through the SST production based on the sensor data availability. The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST) while infrared radiometers (i.e., MODIS) have a higher spatial resolution. This analysis does not use any in situ SST data such as drifting buoy SST. Compared with the previous version 5.0 dataset, version 5.1 is processed using updated input files, VIIRS on NOAA-20 is included, the sensor-specific error statistics (SSES) for each microwave sensor are updated, and deficiencies in the OI processing have been addressed.

Product Summary

Platforms
Aqua ,
Terra ,
GPM ,
Suomi-NPP ,
GCOM-W1 ,
NOAA-20 ,
TRMM ,
CORIOLIS
Instruments
MODIS ,
GMI ,
VIIRS ,
AMSR2 ,
AMSR-E ,
TMI ,
WINDSAT
Spatial Extent

N: 90 S: -90 E: 180 W: -179

Spatial Resolution
0.09 Decimal Degrees x 0.09 Decimal Degrees
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2002-06-01
Data Partner
Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA (NASA/JPL/PODAAC) ,
Remote Sensing Systems (RSS)
Concept ID
C2205102254-POCLOUD
Data State
ACTIVE
Number of Files/Granules
8759
Processing Level
4
Published
Updated
Science Keywords
Sea Surface Foundation 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

REMSS. (2022). GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature analysis version 5.1 from REMSS [Data set]. NASA Physical Oceanography Distributed Active Archive Center. https://doi.org/10.5067/GHMWI-4FR51 Date Accessed: 2026-05-27

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
Upper-Ocean Thermal Rejuvenation Within the Typhoon Inactivity Duration Li, Zhengbao, Zheng, Zhaofeng, Wang, Zixuan, Ju, Xia, Song, Zhuanling, Su, Ruitong, Sun, Kang, Hu, Xiaomin, Sun, Jia Sea Surface Foundation Temperature
Composite Three-Dimensional Biogeochemical Responses to Tropical Zheng, Hui, Zhang, WenZhou, Mei, Zhiguo Salinity, Sea Surface Foundation Temperature
How Did the Merger With a Tropical Depression Amplify the Rapid Zheng, Minglin, Zhang, Ze, Zhang, Weimin Sea Surface Foundation Temperature
Enhanced Ocean Mixing During the Passage of Tropical Cyclone Falor, Devang, Gayen, Bishakhdatta, Sengupta, Debasis, Chaudhuri, Dipanjan Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Pressure Thickness, U/V Wind Components, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Upper Air Temperature, Air Temperature, Relative Humidity, Specific Humidity, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Cloud Fraction, Altitude, Geopotential Height, Ozone Profiles, Salinity, Sea Surface Foundation Temperature
Influence of Spatial Heterogeneity in Sea Surface Temperature on Sun, Jia, Jin, Shanshan, Ju, Xia, He, Hailun, Ding, Ruibin, Hu, Xiaomin, Xiong, Xuejun Sea Surface Foundation Temperature
Mapping high-resolution surface current by incorporating geostrophic equilibrium with surface quasigeostrophic theory using multi-source satellite observations Chen, Zhiqiang, Wang, Xidong, Cao, Haijin, Song, Xiangzhou Sea Surface Foundation Temperature
Revisiting Winter Southern Ocean CO<sub>2</sub> Uptake Based on CALIPSO Huang, Hao, Zhang, Ke, Zhang, Zhaoru, Smith, Walker, He, Jianfeng, Liu, Na, Le, Chengfeng Sea Surface Foundation Temperature
Numerical study of the response of typhoon Hato (2017) to grouped mesoscale eddies in the northern South China Sea Sun, Jia, Ju, Xia, Zheng, Quanan, Wang, Guihua, Li, Lingli, Xiong, Xuejun Sea Surface Foundation Temperature
Poleward Migration of Spatial Asymmetry in Tropical Cyclone Ju, Xia, Sun, Jia, Wu, Dijia, Li, Lingli, Hu, Xiaomin, Ren, Zhaopeng, Guo, Yanliang, Yu, Long, Hui, Zhenli, Xiong, Xuejun Total Surface Precipitation Rate, Sea Surface Foundation 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 sea surface temperature K short -32768 -32767 to 32767 0.000839259 295.65
analysis_error estimated error standard deviation of analysed_sst K short -32768 -32767 to 32767 1.5259255E-5 0.5
lat geographical coordinates, WGS84 datum degrees_north float N/A -90 to 90 1 N/A
lon geographical coordinates, WGS84 datum degrees_east float N/A -180 to 180 1 N/A
mask land sea ice lake bit mask N/A byte -128 0 to 127 1 N/A
sea_ice_fraction sea ice area fraction N/A byte -128 0 to 100 0.01 N/A
time nominal time of L4 analysis seconds since 1981-01-01 00:00:00 int N/A N/A 1 N/A
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