Journal cover Journal topic
Ocean Science An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.289 IF 2.289
  • IF 5-year value: 2.756 IF 5-year
    2.756
  • CiteScore value: 2.76 CiteScore
    2.76
  • SNIP value: 1.050 SNIP 1.050
  • SJR value: 1.554 SJR 1.554
  • IPP value: 2.65 IPP 2.65
  • h5-index value: 30 h5-index 30
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 41 Scimago H
    index 41
Discussion papers
https://doi.org/10.5194/os-2018-137
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-2018-137
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 10 Dec 2018

Research article | 10 Dec 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Ocean Science (OS).

Testing the validity of regional detail in global analyses of Sea surface temperature – the case of Chinese coastal waters

Yan Li1, Hans von Storch2,3, Qingyyuan Wang4, and Qingliang Zhou5 Yan Li et al.
  • 1National Marine Data and Information Service, Tianjin, People's Republic of China
  • 2Institut für Küstenforschung, Helmholtz zentrum Geesthacht, Germany
  • 3Ocean University of China, Qingdao, People's Republic of China
  • 4Tianjin Meteorological Observatory, Tianjin, People's Republic of China
  • 5Chinese Meteorological Administration, Beijing, People's Republic of China

Abstract. We have designed a method for testing the quality of multidecadal analyses of SST in regional seas by using a set of high-quality local SST observations. In recognizing that local data may reflect local effects, we focus on dominant EOFs of the local data and of the localized data of the analyses. We examine patterns, and the variability as well as the trends of the principal components. This method is applied to examine four different SST analyses, namely HadISST1, ERSST, COBE SST, and NOAA OISST. They are assessed using a newly constructed high-quality data set of SST at 26 coastal stations along the Chinese coast in 1960–2015 which underwent careful examination with respect to quality, and a number of corrections of inhomogeneities. The four gridded analyses perform by and large well, in particular since 1980. However, for the pre-satellite time period, before 1980, the analyses differ among each other and show some inconsistencies with the local data, such as artificial break points, periods of bias and differences in trends. We conclude that gridded SST-analyses need improvement in the pre-satellite time (prior to 1980s), by re-examining in detail archives of local quality-controlled SST data in many data-sparse regions of the world.

Yan Li et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Topic Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Yan Li et al.
Yan Li et al.
Viewed  
Total article views: 384 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
337 40 7 384 6 6
  • HTML: 337
  • PDF: 40
  • XML: 7
  • Total: 384
  • BibTeX: 6
  • EndNote: 6
Views and downloads (calculated since 10 Dec 2018)
Cumulative views and downloads (calculated since 10 Dec 2018)
Viewed (geographical distribution)  
Total article views: 179 (including HTML, PDF, and XML) Thereof 179 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 19 Mar 2019
Publications Copernicus
Download
Short summary
The main goals are to study the performance of gridded SST datasets in the coastal waters by comparing to the homogenized in situ SST records. In recognizing that local data may reflect local effects, we focus on dominant EOFs of the in situ SSTs and localized gridded datasets, examining patterns, variabilities and trends. We conclude that gridded datasets need improvement in the pre-satellite time, by re-examining in detail archives of local SST records in many data-sparse regions.
The main goals are to study the performance of gridded SST datasets in the coastal waters by...
Citation