GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS version 2)

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the UK Met Office using optimal interpolation (OI) on a global 0.054 degree grid. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) analysis uses satellite data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Geostationary Operational Environmental Satellite (GOES) imager, the Infrared Atmospheric Sounding Interferometer (IASI), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) 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.

Data and Resources

Field Value
accessLevel public
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
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catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
citation UK Met Office. 2012-12-19. GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis. Version 2.0. OSTIA L4 SST Analysis (GDS2). Met Office, Exeter, UK. Archived by National Aeronautics and Space Administration, U.S. Government, UK Met Office. https://doi.org/10.5067/GHOST-4FK02. UK Met Office, UK Met Office, 2012-12-19, GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS version 2), none.
creator UK Met Office
graphic-preview-description Thumbnail
graphic-preview-file https://podaac.jpl.nasa.gov/Podaac/thumbnails/OSTIA-UKMO-L4-GLOB-v2.0.jpg
identifier C1652972902-PODAAC
issued 2013-02-14
landingPage https://doi.org/10.5067/GHOST-4FK02
language {en-US}
metadata_type geospatial
modified 2017-04-28
programCode {026:001}
publisher NASA/JPL/PODAAC
release-place Met Office, Exeter, UK
resource-type Dataset
series-name GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis
source_datajson_identifier true
source_hash a2195155147c7a3516f65dc88efb02cc022cd65c
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [180.0, -90.0], [180.0, 90.0], [-180.0, 90.0], [-180.0, -90.0]]]}
temporal 2006-12-31T00:00:00Z/2020-11-30T00:00:00Z
theme {GHRSST,geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • earth-science
  • geo
  • geoss
  • national
  • north-america
  • ocean-temperature
  • oceans
  • sea-ice
  • united-states
isopen False
license_id notspecified
license_title License not specified
maintainer Edward Armstrong
maintainer_email edward.m.armstrong@jpl.nasa.gov
metadata_created 2025-11-22T16:12:23.613953
metadata_modified 2025-11-22T16:12:23.613957
notes A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the UK Met Office using optimal interpolation (OI) on a global 0.054 degree grid. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) analysis uses satellite data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Geostationary Operational Environmental Satellite (GOES) imager, the Infrared Atmospheric Sounding Interferometer (IASI), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) 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.
num_resources 11
num_tags 12
title GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS version 2)