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Satellite-based time-series of sea-surface temperature since 1980 for climate applications.
Embury, Owen; Merchant, Christopher J; Good, Simon A; Rayner, Nick A; Høyer, Jacob L; Atkinson, Chris; Block, Thomas; Alerskans, Emy; Pearson, Kevin J; Worsfold, Mark; McCarroll, Niall; Donlon, Craig.
Afiliação
  • Embury O; Department of Meteorology, University of Reading, Reading, UK. o.embury@reading.ac.uk.
  • Merchant CJ; National Centre for Earth Observation, University of Reading, Reading, UK. o.embury@reading.ac.uk.
  • Good SA; Department of Meteorology, University of Reading, Reading, UK.
  • Rayner NA; National Centre for Earth Observation, University of Reading, Reading, UK.
  • Høyer JL; Met Office, Exeter, UK.
  • Atkinson C; Met Office, Exeter, UK.
  • Block T; Danish Meteorological Institute, Copenhagen Ø, Denmark.
  • Alerskans E; Met Office, Exeter, UK.
  • Pearson KJ; Brockmann Consult GmbH, Hamburg, Germany.
  • Worsfold M; Danish Meteorological Institute, Copenhagen Ø, Denmark.
  • McCarroll N; Swansea University, Swansea, UK.
  • Donlon C; Met Office, Exeter, UK.
Sci Data ; 11(1): 326, 2024 Mar 29.
Article em En | MEDLINE | ID: mdl-38553544
ABSTRACT
A 42-year climate data record of global sea surface temperature (SST) covering 1980 to 2021 has been produced from satellite observations, with a high degree of independence from in situ measurements. Observations from twenty infrared and two microwave radiometers are used, and are adjusted for their differing times of day of measurement to avoid aliasing and ensure observational stability. A total of 1.5 × 1013 locations are processed, yielding 1.4 × 1012 SST observations deemed to be suitable for climate applications. The corresponding observation density varies from less than 1 km-2 yr-1 in 1980 to over 100 km-2 yr-1 after 2007. Data are provided at their native resolution, averaged on a global 0.05° latitude-longitude grid (single-sensor with gaps), and as a daily, merged, gap-free, SST analysis at 0.05°. The data include the satellite-based SSTs, the corresponding time-and-depth standardised estimates, their standard uncertainty and quality flags. Accuracy, spatial coverage and length of record are all improved relative to a previous version, and the timeseries is routinely extended in time using consistent methods.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article