Cited by 1,394Oceanographic and Atmospheric ProcessesMeteorological Phenomena and SimulationsOcean Waves and Remote Sensing

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The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system

Donlon, Craig J., Martin, Matthew, Stark, John, Roberts-Jones, Jonah, Fiedler, Emma, Wimmer, Werenfrid·2012·Remote Sensing of Environment

DOI 10.1016/j.rse.2010.10.017

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Abstract

This paper describes a new Sea surface temperature (SST) analysis that is produced with global coverage on a daily basis at the Met Office called the Operational SST and Sea Ice Analysis (OSTIA) system. OSTIA uses satellite SST data provided by international agencies via the Group for High Resolution SST (GHRSST) Regional/Global Task Sharing (R/GTS) framework. GHRSST products include data from microwave and infrared satellite instruments with accompanying uncertainty estimates. The system also uses in situ SST data available over the Global Telecommunications System (GTS) and a sea-ice concentration product from the EUMETSAT Ocean and Sea Ice Satellite Applications Facility (OSI-SAF). The SST analysis is a multi-scale optimal interpolation that is designed for applications in numerical weather prediction and ocean forecasting systems. The background error covariance matrix is specified using ocean model data and the analysis uses correlation length scales of 10km and 100km. The OSTIA system produces a foundation SST estimate (SSTfnd, which is the SST free of diurnal variability) at an output grid resolution of 1/20° (~6km) although the smallest analysis feature resolution is based on the correlation length scale of 10km. All satellite SST data are adjusted for bias errors based on a combination of ENVISAT Advanced Along Track Scanning Radiometer (AATSR) SST data and in situ SST measurements from drifting buoys. Data are filtered (based on surface wind speed data) to remove di…

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Authors: Donlon, C. J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E., & Wimmer, W.
Affiliations: Met Office (GB)
National Oceanography Centre (GB)
Corresponding author: Donlon, Craig J.
ORCID: Donlon, Craig J.
Martin, Matthew
Fiedler, Emma
Wimmer, Werenfrid
Venue: Remote Sensing of Environment
Publisher: Elsevier BV
Published: 2012-01
Volume: 116
Pages: 140-158
ISSN: 0034-4257 (ISSN-L)
DOI: 10.1016/j.rse.2010.10.017
OpenAlex: W1978648105
Cited by: 1,394
References: 66
Citations by year: 2026: 91 · 2025: 101 · 2024: 163 · 2023: 122 · 2022: 143 · 2021: 124 · 2020: 135 · 2019: 116 · 2018: 92 · 2017: 69 · 2016: 72 · 2015: 59 · 2014: 54 · 2013: 33 · 2012: 13
FWCI: 23.23
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Remote Sensing of Environment (publishedVersion)
ePrints Soton (University of Southampton) (submittedVersion)
Topics: Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Physical Sciences › Earth and Planetary Sciences › Oceanography › Ocean Waves and Remote Sensing
Keywords: Ostia, sea ice concentration, optimal interpolation, satellite SST, GHRSST, AATSR, drifting buoys, background error covariance, ocean forecasting, SST validation

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