Analysis of variability and long-term trends of sea surface temperature over the China Seas derived from a newly merged regional data set

作者：Li, Yan; Mu, Lin^*; Liu, Yulong; Wang, Guosong; Zhang, Dongsheng; Li, Huan; Han, Xue

来源：Climate Research, 2017, 73(3): 217-231.

DOI：10.3354/cr01471

• Sea surface temperature
• China Seas
• Data set
• Observation
• Climate change

A sea surface temperature (SST) data set was recently reconstructed for the China Seas and their adjacent waters (100-150 degrees E, 0-50 degrees N). Hereafter, we refer to this new regional data set as SST-CS. SST-CS has a monthly temporal resolution and a spatial resolution of 1 degrees latitude by 1 degrees longitude for the period from January 1960 to December 2012. This data set is merged by SST observations from the State Oceanic Administration (SOA) of China and the SST observations from Release 2.5 of the International Comprehensive Ocean-Atmosphere Data Set (ICOADS R2.5) from 1960-2012. SST-CS has improved the data coverage over the China Seas (105-130 degrees E, 15-45 degrees N) compared with ICOADS R2.5. Results show that SST-CS is more consistent with SST observations over the China Seas than COBE SST2 and HadISST1, especially in the offshore areas, and can better capture the temporal and spatial variability of SST in the China Seas. The warming rate of the annual mean SST derived from SST-CS is about 0.153 degrees C every 10 yr for the past 53 yr over the China Seas. Regarding seasonal variation, the most significant warming trend appears in winter, about 0.181 degrees C per 10 yr, and the lowest warming trend occurs in summer (0.102 degrees C per 10 yr). SST-CS can provide a more suitable and available data source for climatic and oceanographic studies in the China Seas and their adjacent waters.

• 出版日期2017
• 单位中国地质大学（北京）; 国家海洋信息中心; 国家海洋环境预报中心