Satellite-based time-series of sea-surface temperature since 1980 for climate applications

被引:27
作者
Embury, Owen [1 ,2 ]
Merchant, Christopher J. [1 ,2 ]
Good, Simon A. [3 ]
Rayner, Nick A. [3 ]
Hoyer, Jacob L. [4 ]
Atkinson, Chris [3 ]
Block, Thomas [5 ]
Alerskans, Emy [4 ]
Pearson, Kevin J. [6 ]
Worsfold, Mark [3 ]
Mccarroll, Niall [1 ,2 ]
Donlon, Craig [7 ]
机构
[1] Univ Reading, Dept Meteorol, Reading, England
[2] Univ Reading, Natl Ctr Earth Observat, Reading, England
[3] Met Off, Exeter, England
[4] Danish Meteorol Inst, Copenhagen, Denmark
[5] Brockmann Consult GmbH, Hamburg, Germany
[6] Swansea Univ, Swansea, Wales
[7] European Space Agcy, Noordwijk, Netherlands
基金
英国工程与自然科学研究理事会; 英国自然环境研究理事会;
关键词
TRACK SCANNING RADIOMETERS; BAYESIAN CLOUD DETECTION; DIURNAL VARIABILITY; FEATURE RESOLUTION; DATA ASSIMILATION; INFRARED IMAGERY; VALIDATION; MODEL; SKIN; UNCERTAINTY;
D O I
10.1038/s41597-024-03147-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 x 1013 locations are processed, yielding 1.4 x 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 degrees latitude-longitude grid (single-sensor with gaps), and as a daily, merged, gap-free, SST analysis at 0.05 degrees. 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.
引用
收藏
页数:22
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