Sea Surface Temperature Intercomparison in the Framework of the Copernicus Climate Change Service (C3S)

Author:

Yang Chunxue1,Leonelli Francesca Elisa12,Marullo Salvatore13,Artale Vincenzo13,Beggs Helen4,Nardelli Bruno Buongiorno5,Chin Toshio M.6,De Toma Vincenzo37,Good Simon8,Huang Boyin9,Merchant Christopher J.10,Sakurai Toshiyuki11,Santoleri Rosalia1,Vazquez-Cuervo Jorge5,Zhang Huai-Min7,Pisano Andrea1

Affiliation:

1. a Institute of Marine Sciences, National Research Council of Italy, Rome, Italy

2. b Department of Mathematics Guido Castelnuovo, University of Rome La Sapienza, Rome, Italy

3. c Italian National Agency for New Technologies, Energy, and Sustainable Economic Development (ENEA), Frascati, Italy

4. d Bureau of Meteorology, Melbourne, Victoria, Australia

5. e Institute of Marine Sciences, National Research Council of Italy, Naples, Italy

6. f Jet Propulsion Laboratory–California Institute of Technology, Pasadena, California

7. g Department of Physics and Istituto Nazionale di Fisica Nucleare, Tor Vergata University of Rome, Rome, Italy

8. h Met Office, Exeter, United Kingdom

9. i NOAA National Centers for Environmental Information, Asheville, North Carolina

10. j University of Reading, and National Centre for Earth Observation, Reading, United Kingdom

11. k Japan Meteorological Agency, Tokyo, Japan

Abstract

AbstractA joint effort between the Copernicus Climate Change Service (C3S) and the Group for High Resolution Sea Surface Temperature (GHRSST) has been dedicated to an intercomparison study of eight global gap-free sea surface temperature (SST) products to assess their accurate representation of the SST relevant to climate analysis. In general, all SST products show consistent spatial patterns and temporal variability during the overlapping time period (2003–18). The main differences between each product are located in the western boundary current and Antarctic Circumpolar Current regions. Linear trends display consistent SST spatial patterns among all products and exhibit a strong warming trend from 2012 to 2018 with the Pacific Ocean basin as the main contributor. The SST discrepancy between all SST products is very small compared to the significant warming trend. Spatial power spectral density shows that the interpolation into 1° spatial resolution has negligible impacts on our results. The global mean SST time series reveals larger differences among all SST products during the early period of the satellite era (1982–2002) when there were fewer observations, indicating that the observation frequency is the main constraint of the SST climatology. The maturity matrix scores, which present the maturity of each product in terms of documentation, storage, and dissemination but not the scientific quality, demonstrate that ESA-CCI and OSTIA SST are well documented for users’ convenience. Improvements could be made for MGDSST and BoM SST. Finally, we have recommended that these SST products can be used for fundamental climate applications and climate studies (e.g., El Niño).

Publisher

American Meteorological Society

Subject

Atmospheric Science

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