Sea Surface Temperature Intercomparison in the Framework of the Copernicus Climate Change Service (C3S)
A 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 rele...
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| Veröffentlicht in: | Journal of climate 2021-07, Vol.34 (13), p.5257-5283 |
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| creator | Yang, Chunxue Leonelli, Francesca Elisa Marullo, Salvatore Artale, Vincenzo Beggs, Helen Nardelli, Bruno Buongiorno Chin, Toshio M. De Toma, Vincenzo Good, Simon Huang, Boyin Merchant, Christopher J. Sakurai, Toshiyuki Santoleri, Rosalia Vazquez-Cuervo, Jorge Zhang, Huai-Min Pisano, Andrea |
| description | A 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). |
| doi_str_mv | 10.1175/jcli-d-20-0793.1 |
| format | Article |
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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).</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/jcli-d-20-0793.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Algorithms ; Antarctic Circumpolar Current ; Boundary conditions ; Boundary currents ; Climate change ; Climate studies ; Climatic analysis ; Climatology ; Datasets ; El Nino ; El Nino phenomena ; Intercomparison ; Interpolation ; Ocean basins ; Power spectral density ; Radiometers ; Resolution ; Satellites ; Sea surface ; Sea surface temperature ; Sensors ; Spatial discrimination ; Spatial resolution ; Storage ; Surface temperature ; Temporal variability ; Temporal variations ; Time series</subject><ispartof>Journal of climate, 2021-07, Vol.34 (13), p.5257-5283</ispartof><rights>2021 American Meteorological Society</rights><rights>Copyright American Meteorological Society Jul 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c401t-1d02d38cf945db769076c495f19dec10e43c8375ceac07ef196f3d4b72b723f93</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/27076884$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/27076884$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,3668,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Yang, Chunxue</creatorcontrib><creatorcontrib>Leonelli, Francesca Elisa</creatorcontrib><creatorcontrib>Marullo, Salvatore</creatorcontrib><creatorcontrib>Artale, Vincenzo</creatorcontrib><creatorcontrib>Beggs, Helen</creatorcontrib><creatorcontrib>Nardelli, Bruno Buongiorno</creatorcontrib><creatorcontrib>Chin, Toshio M.</creatorcontrib><creatorcontrib>De Toma, Vincenzo</creatorcontrib><creatorcontrib>Good, Simon</creatorcontrib><creatorcontrib>Huang, Boyin</creatorcontrib><creatorcontrib>Merchant, Christopher J.</creatorcontrib><creatorcontrib>Sakurai, Toshiyuki</creatorcontrib><creatorcontrib>Santoleri, Rosalia</creatorcontrib><creatorcontrib>Vazquez-Cuervo, Jorge</creatorcontrib><creatorcontrib>Zhang, Huai-Min</creatorcontrib><creatorcontrib>Pisano, Andrea</creatorcontrib><title>Sea Surface Temperature Intercomparison in the Framework of the Copernicus Climate Change Service (C3S)</title><title>Journal of climate</title><description>A 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).</description><subject>Algorithms</subject><subject>Antarctic Circumpolar Current</subject><subject>Boundary conditions</subject><subject>Boundary currents</subject><subject>Climate change</subject><subject>Climate studies</subject><subject>Climatic analysis</subject><subject>Climatology</subject><subject>Datasets</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>Intercomparison</subject><subject>Interpolation</subject><subject>Ocean basins</subject><subject>Power spectral density</subject><subject>Radiometers</subject><subject>Resolution</subject><subject>Satellites</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Sensors</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Storage</subject><subject>Surface 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Andrea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sea Surface Temperature Intercomparison in the Framework of the Copernicus Climate Change Service (C3S)</atitle><jtitle>Journal of climate</jtitle><date>2021-07-01</date><risdate>2021</risdate><volume>34</volume><issue>13</issue><spage>5257</spage><epage>5283</epage><pages>5257-5283</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>A 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).</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/jcli-d-20-0793.1</doi><tpages>27</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Antarctic Circumpolar Current Boundary conditions Boundary currents Climate change Climate studies Climatic analysis Climatology Datasets El Nino El Nino phenomena Intercomparison Interpolation Ocean basins Power spectral density Radiometers Resolution Satellites Sea surface Sea surface temperature Sensors Spatial discrimination Spatial resolution Storage Surface temperature Temporal variability Temporal variations Time series |
| title | Sea Surface Temperature Intercomparison in the Framework of the Copernicus Climate Change Service (C3S) |
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