Articles | Volume 15, issue 6
https://doi.org/10.5194/os-15-1455-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-15-1455-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Nov 2019
Research article |
| 08 Nov 2019
| 08 Nov 2019
Testing the validity of regional detail in global analyses of sea surface temperature – the case of Chinese coastal waters
Yan Li
CORRESPONDING AUTHOR
National Marine Data and Information Service, Tianjin, People's
Republic of China
Hans von Storch
Institut für Küstenforschung, Helmholtz Zentrum Geesthacht, Geesthacht,
Germany
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, People's Republic of China
Qingyuan Wang
Tianjin Meteorological Observatory, Tianjin, People's Republic of
China
Qingliang Zhou
Chinese Meteorological Administration, Beijing, People's Republic of
China
Shengquan Tang
Institut für Küstenforschung, Helmholtz Zentrum Geesthacht, Geesthacht,
Germany
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, People's Republic of China
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In order to construct a long-term homogeneous surface air temperature (SAT) series (more than 100 years), based on quality control, interpolation and homogeneity methods, we objectively establish a set of homogenized monthly SAT series in Qingdao, China from 1899 to 2014. Then long-term climate change trends can be described. The SAT in Qingdao has a notable warming of 0.11 °C per decade during 1899–2014. The coldest period occurred in 1909–1918 and the warmest period occurred in 1999–2008.
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Short summary
The main goals are to study the performance of gridded SST datasets in coastal waters by comparing to homogenized in situ SST records. In recognizing that local data may reflect local effects, we focus on the 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 era by reexamining 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 coastal waters by...
