School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters, SUN Yat-Sen University, Guangzhou, China
Chinese Academy of Meteorological Sciences, CMA, Beijing, China
National Centers of Environmental Information, NOAA, Asheville, USA
Jiayi Cheng
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters, SUN Yat-Sen University, Guangzhou, China
Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Zhuhai, China
Wenhui Xu
National Meteorological Information Center, CMA, Beijing, China
Shaobo Qiao
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters, SUN Yat-Sen University, Guangzhou, China
Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Zhuhai, China
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters, SUN Yat-Sen University, Guangzhou, China
Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Zhuhai, China
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189
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PDF: 1,809
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EndNote: 189
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Total article views: 5,137 (including HTML, PDF, and XML)
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3,976
1,033
128
5,137
123
176
HTML: 3,976
PDF: 1,033
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Total: 5,137
BibTeX: 123
EndNote: 176
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Total article views: 1,600 (including HTML, PDF, and XML)
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814
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1,600
13
13
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Total article views: 6,737 (including HTML, PDF, and XML)
Thereof 6,022 with geography defined
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Total article views: 5,137 (including HTML, PDF, and XML)
Thereof 4,646 with geography defined
and 491 with unknown origin.
Total article views: 1,600 (including HTML, PDF, and XML)
Thereof 1,376 with geography defined
and 224 with unknown origin.
Global ST datasets have been blamed for underestimating the recent warming trend. This study merged ERSSTv5 with our newly developed C-LSAT, producing a global land and marine surface temperature dataset – CMST. Comparing with existing datasets, the statistical significance of the GMST warming trend during the past century remains unchanged, while the recent warming trend since 1998 increases slightly and is statistically significant.
Global ST datasets have been blamed for underestimating the recent warming trend. This study...