NOAA 0.25-degree Daily Optimum Interpolation Sea Surface Temperature (OISST), Version 2.1

Description

This high-resolution sea surface temperature (SST) analysis product was developed using an optimum interpolation (OI) technique. The OISST analysis has a spatial grid resolution of 0.25 degree and temporal resolution of 1 day, spanning from September 1981 to present. The analysis was constructed by combining observations from different platforms on a regular global grid, including Advanced Very High Resolution Radiometer (AVHRR) satellite data, ships, buoys and Argo floats. A spatially complete SST map was produced by interpolating to fill in spatial gaps. The methodology includes bias adjustment of satellite and ship observations (referenced to buoys) to compensate for platform differences and sensor biases. This proved critical during the Mt. Pinatubo eruption in 1991, when the widespread presence of volcanic aerosols resulted in infrared satellite temperatures that were much cooler than actual ocean temperatures, and other degradation of satellite observations. Released in March 2020, Version 2.1 supersedes the previous Version 2. For the January 2016 to present time period, changes include: 1) In-Situ ship and buoy data changed from the NCEP Traditional Alphanumeric Codes (TAC) to the NCEI merged TAC + Binary Universal Form for the Representation (BUFR) data; 2) Addition of Argo float observed SST data; 3) Satellite input changed from METOP-A and NOAA-19 to METOP-A and METOP-B; 4) Revised ship-buoy SST corrections and revised sea-ice-concentration to SST conversion. The data before January 1, 2016 remain the same as Version 2.0. Preliminary product files are produced daily in near real-time (1-day latency) and can be updated in the first few days if critical input data become available after the initial production time. After two weeks, a complete or final product is generated and archived with no additional changes expected. The product is available in netCDF-4 with metadata attributes.

Resources

Name Format Description Link
0 ERDDAP Data Service for the dataset. https://www.ncei.noaa.gov/erddap/search/index.html?page=1&itemsPerPage=1000&searchFor=OISST
0 Direct download for the dataset. https://www.ncei.noaa.gov/data/sea-surface-temperature-optimum-interpolation/v2.1/access/avhrr/
21 THREDDS Data Server (TDS) for the dataset. https://www.ncei.noaa.gov/thredds/blended-global/oisst-catalog.html
0 Information on AWS data access. https://registry.opendata.aws/noaa-cdr-oceanic/
21 Information on Microsoft Azure data access. https://microsoft.github.io/AIforEarthDataSets/data/noaa-cdr.html
0 Landing page for the dataset. https://doi.org/10.25921/RE9P-PT57
0 CDR overview and documentation. https://www.ncei.noaa.gov/products/climate-data-records/sea-surface-temperature-optimum-interpolation
0 Description of the data and related resources. https://www.ncei.noaa.gov/products/optimum-interpolation-sst
0 Related dataset landing page. https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.nodc:GHRSST-AVHRR_OI-NCEI-L4-GLOB/html
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords
21 Browse view to explore the S3 bucket. https://noaa-cdr-sea-surface-temp-optimum-interpolation-pds.s3.amazonaws.com/index.html
0 Information on Google Earth Engine data access. https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_OISST_V2_1
0 NCEI home page with information, data access and contact information. https://www.ncei.noaa.gov
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords
0 Overview of the GCOS Essential Climate Variables. https://public.wmo.int/en/programmes/global-climate-observing-system/essential-climate-variables
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords
0 Banzon, V., T.M. Smith, M. Steele, B. Huang, and H. Zhang, 2020: Improved Estimation of Proxy Sea Surface Temperature in the Arctic. J. Atmos. Oceanic Technol., 37, 341–349, https://doi.org/10.1175/JTECH-D-19-0177.1 https://doi.org/10.1175/JTECH-D-19-0177.1
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords

Tags

  • vertical location
  • sea surface
  • nesdis
  • sea surface temperature
  • oceans
  • advanced very high resolution radiometer
  • noaa
  • global ocean
  • ocean temperature
  • u.s. department of commerce
  • earth science
  • geographic region
  • climate indicators
  • doc/noaa/nesdis/ncei
  • oceanic - surface - sea-surface temperature
  • atmospheric/ocean indicators
  • avhrr
  • national centers for environmental information

Topics

Categories