Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature analysis version 5.0 from REMSS

Metadata Updated: December 7, 2023

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 both microwave (MW) sensors including the Global Precipitation Measurement (GPM) Microwave Imager (GMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, and WindSat operates on the Coriolis satellite, and infrared (IR) sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platform and the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi-NPP satellite. 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. Comparing with previous version 4.0 dataset, the version 5.0 has made the updates in several areas, including the diurnal warming model, the sensor-specific error statistics (SSES) for each microwave sensor, the sensor correlation model, and the quality mask.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date December 1, 2022
Metadata Updated Date December 7, 2023

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Thumbnail

Additional Metadata

Resource Type Dataset
Metadata Created Date December 1, 2022
Metadata Updated Date December 7, 2023
Publisher NASA/JPL/PODAAC
Maintainer
Identifier C2036878045-POCLOUD
Data First Published 2017-09-30
Language en-US
Data Last Modified 2017-09-30
Category GHRSST, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Remote Sensing Systems. 2017-12-29. GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature Analysis. Version 5.0. MWIR optimum interpolated SST data set. Santa Rosa, CA, USA. Archived by National Aeronautics and Space Administration, U.S. Government, Remote Sensing Systems. https://doi.org/10.5067/GHMWI-4FR05. http://www.remss.com.
Creator Remote Sensing Systems
Graphic Preview Description Thumbnail
Graphic Preview File https://podaac.jpl.nasa.gov/Podaac/thumbnails/MW_IR_OI-REMSS-L4-GLOB-v5.0.jpg
Harvest Object Id 422c049c-cc44-4f4d-a084-890c305fd8f6
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/GHMWI-4FR05
Metadata Type geospatial
Old Spatial -179.0 -90.0 180.0 90.0
Program Code 026:001
Release Place Santa Rosa, CA, USA
Series Name GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature Analysis
Source Datajson Identifier True
Source Hash de49407a682de90e05a3497be33465ab35a037f54bac90bc02502ce339f06f6b
Source Schema Version 1.1
Spatial
Temporal 2002-06-01T00:00:00Z/2023-03-01T00:00:00Z

Didn't find what you're looking for? Suggest a dataset here.