DOI: 10.3354/cr01471
Scopus记录号: 2-s2.0-85028715445
论文题名: 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 Y. ; Mu L. ; Liu Y. ; Wang G. ; Zhang D. ; Li H. ; Han X.
刊名: Climate Research
ISSN: 0936577X
出版年: 2017
卷: 73, 期: 3 起始页码: 217
结束页码: 231
语种: 英语
英文关键词: China Seas
; Climate change
; Data set
; Observation
; Sea surface temperature
Scopus关键词: analytical method
; climate change
; data set
; observational method
; sea surface temperature
; seasonal variation
; spatiotemporal analysis
; trend analysis
; warming
; Pacific Ocean
; South China Sea
英文摘要: A sea surface temperature (SST) data set was recently reconstructed for the China Seas and their adjacent waters (100-150° E, 0-50° 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° latitude by 1° 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°E, 15-45° 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°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°C per 10 yr, and the lowest warming trend occurs in summer (0.102°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. © Inter-Research 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116319
Appears in Collections: 气候减缓与适应
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Recommended Citation:
Li Y.,Mu L.,Liu Y.,et al. Analysis of variability and long-term trends of sea surface temperature over the China Seas derived from a newly merged regional data set[J]. Climate Research,2017-01-01,73(3)