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Description

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.25 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains an additional SST anomaly variable derived from a MUR climatology (average between 2003 and 2014). This dataset was originally funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects ) and the NASA CEOS COVERAGE project and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.

Product Summary

Platforms
Aqua ,
CORIOLIS ,
Terra ,
NOAA-19 ,
BUOYS ,
GCOM-W1
Instruments
MODIS ,
AMSR-E ,
WINDSAT ,
AVHRR-3 ,
DRIFTING BUOYS ,
AMSR2
Spatial Extent

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

Spatial Resolution
0.25 Decimal Degrees x 0.25 Decimal Degrees
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2002-08-31
Data Partner
Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA (NASA/JPL/PODAAC) ,
Jet Propulsion Laboratory, NASA (NASA/JPL)
Concept ID
C2036880657-POCLOUD
Data State
ACTIVE
Number of Files/Granules
8649
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

NASA/JPL. (2019). GHRSST Level 4 MUR 0.25deg Global Foundation Sea Surface Temperature Analysis (v4.2) [Data set]. NASA Physical Oceanography Distributed Active Archive Center. https://doi.org/10.5067/GHM25-4FJ42 Date Accessed: 2026-05-08

Documents

SHOWING 3 OF 3

Publications Citing This Dataset

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Title Year Author Topic
Retrieving cloud-base height and geometric thickness using the oxygen Nagao, Takashi M., Suzuki, Kentaroh, Kuji, Makoto Atmospheric Ozone, Sea Level Pressure, Surface Pressure, 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, Altitude, Geopotential Height, Ozone Profiles, Surface Temperature, Skin Temperature, Atmospheric Winds, Surface Winds, Atmospheric Pressure, Total Precipitable Water, Oxygen Compounds, Boundary Layer Winds, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Sea Surface Temperature
Assessing the accuracy of MUR high resolution satellite sea surface temperature data St. Amand, Frankie M., Maasch, Kirk A., Sandweiss, Daniel H. Sea Surface Temperature
Predicting species distributions in the open ocean with convolutional neural networks Morand, Gaetan, Joly, Alexis, Rouyer, Tristan, Lorieul, Titouan, Barde, Julien Sea Surface Temperature
Learning Sea Surface Height Interpolation From Multi-Variate Simulated Archambault, Theo, Filoche, Arthur, Charantonis, Anastase, Bereziat, Dominique, Thiria, Sylvie Sea Surface Temperature
Trends and Interannual Variability of the Hydroxyl Radical in the Remote Anderson, Daniel C., Duncan, Bryan N., Liu, Junhua, Nicely, Julie M., Strode, Sarah A., FolletteCook, Melanie B., Souri, Amir H., Ziemke, Jerry R., GonzalezAbad, Gonzalo, Ayazpour, Zolal Tropopause, Surface Pressure, Air Temperature, Upper Air Temperature, Total Precipitable Water, Water Vapor, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Sea Surface Temperature, Skin Temperature, Carbon Monoxide, Geopotential Height, Humidity, Water Vapor Profiles, Cloud Liquid Water/Ice, Outgoing Longwave Radiation, Methane, Atmospheric Ozone, Reflectance, Nitrogen Dioxide, Sea Surface Temperature, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Transmittance, Atmospheric Stability, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms
Internal solitary waves within the cold tongue of the equatorial pacific generated by buoyant gravity currents Santos-Ferreira, A. M., Silva, J. C. B. da, St-Denis, B., Bourgault, D., Maas, L. R. M. Sea Surface Temperature
Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its driversfirst steps toward assessing the feasibility of a global observation ... Anderson, Daniel C., Duncan, Bryan N., Nicely, Julie M., Liu, Junhua, Strode, Sarah A., Follette-Cook, Melanie B. Sea Surface Temperature, Atmospheric Ozone, Reflectance, Carbon Monoxide, Geopotential Height, Tropopause, Methane, Surface Pressure, Outgoing Longwave Radiation, Air Temperature, Upper Air Temperature, Humidity, Total Precipitable Water, Water Vapor, Water Vapor Profiles, Cloud Liquid Water/Ice, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Skin Temperature, Sea Surface Temperature, Nitrogen Dioxide, Carbon And Hydrocarbon Compounds, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Transmittance, Atmospheric Stability, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Nitric Acid, Nitric Oxide, Nitrogen Oxides, Nitrous Oxide, Biomass Burning, Halocarbons And Halogens, Sulfur Compounds, Air Quality, Atmospheric Carbon Monoxide, Non-methane Hydrocarbons/Volatile Organic Compounds, Fossil Fuel Burning, Industrial Emissions, Atmospheric Carbon Dioxide
Predicting sea surface temperatures with coupled reservoir computers Walleshauser, Benjamin, Bollt, Erik Sea Surface Temperature
Substratum and bioregion specificity of lithobiontic communities in the rocky intertidal zone of the British Isles Wyness, Adam J., Orostica, Mauricio H., Monsinjon, Jonathan, McQuaid, Christopher D. Sea Surface Temperature
Super typhoons Hato (1713) and Mangkhut (1822), partII: challenges in Choy, Chun Wing, Lau, Dick Shum, He, Yuheng 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 "Final" version using Multi-Resolution Variational Analysis (MRVA) method for interpolation kelvin short -32768 -32767 to 32767 0.001 298.15
analysis_error uncertainty in "analysed_sst" kelvin short -32768 0 to 32767 0.01 N/A
lat geolocations inherited from the input data without correction degrees_north float N/A -90 to 90 1 N/A
lon geolocations inherited from the input data without correction degrees_east float N/A -180 to 180 1 N/A
mask flag interpretation as integer values: 1=water, 2=land, 5=lake, 9=water with ice in the grid, 13=lake with ice in the grid, 17=river N/A byte -128 1 to 31 1 N/A
sea_ice_fraction ice fraction is a dimensionless quantity between 0 and 1; it has been interpolated by a nearest neighbor approach. N/A byte -128 0 to 100 0.01 N/A
sst_anomaly anomaly reference to the day-of-year average between 2003 and 2014 kelvin short -32768 -32767 to 32767 0.001 N/A
time Nominal time of analyzed fields seconds since 1981-01-01 00:00:00 UTC int N/A N/A 1 N/A
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