气候变化领域集成服务门户(CCPortal): An updated evaluation of the global mean land surface air temperature and surface temperature trends based on CLSAT and CMST

CCPortal

DOI	10.1007/s00382-020-05502-0
	An updated evaluation of the global mean land surface air temperature and surface temperature trends based on CLSAT and CMST
	Li Q.; Sun W.; Yun X.; Huang B.; Dong W.; Wang X.L.; Zhai P.; Jones P.
发表日期	2021
ISSN	0930-7575
起始页码	1953
结束页码	1968
卷号	56 期号:2021-01-02
英文摘要	Past versions of global surface temperature (ST) datasets have been shown to have underestimated the recent warming trend over 1998–2012. This study uses a newly updated global land surface air temperature and a land and marine surface temperature dataset, referred to as China global land surface air temperature (C-LSAT) and China merged surface temperature (CMST), to estimate trends in the global mean ST (combining land surface air temperature and sea surface temperature anomalies) with the data uncertainties being taken into account. Comparing with existing datasets, the statistical significance of the global mean ST warming trend during the past century (1900–2017) remains unchanged, while the recent warming trend during the “hiatus” period (1998–012) increases obviously, which is statistically significant at 95% level when fitting uncertainty is considered as in previous studies (including IPCC AR5) and is significant at 90% level when both fitting and data uncertainties are considered. Our analysis shows that the global mean ST warming trends in this short period become closer among the newly developed global observational data (CMST), remotely sensed/Buoy network infilled datasets, and reanalysis data. Based on the new datasets, the warming trends of global mean land SAT as derived from C-LSAT 2.0 for the period of 1979–2019, 1951–2019, 1900–2019 and 1850–2019 were estimated to be 0.296, 0.219, 0.119 and 0.081 °C/decade, respectively. The warming trends of global mean ST as derived from CMST for the periods of 1998–2019, 1979–2019, 1951–2019 and 1900–2019 were estimated to be 0.195, 0.173, 0.145 and 0.091 °C/decade, respectively. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Dataset; Global land surface air temperature (GLSAT); Global mean surface temperature (GMST); Sea surface temperature (SST); Trends
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/183557
作者单位	School of Atmospheric Sciences and Key Laboratory of Tropical Atmosphere–Ocean System, Ministry of Education, SUN Yat-Sen University, Zhuhai, China; Chinese Academy of Meteorological Sciences, CMA, Beijing, China; National Centers of Environmental Information, NOAA, Asheville, United States; Climate Research Division, Environment and Climate Change Canada, Toronto, Canada; Climate Research Unit, University of East Anglia, Norwich, United Kingdom; Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Sun Yat-Sen University, Zhuhai, 519082, China
推荐引用方式 GB/T 7714	Li Q.,Sun W.,Yun X.,et al. An updated evaluation of the global mean land surface air temperature and surface temperature trends based on CLSAT and CMST[J],2021,56(2021-01-02).
APA	Li Q..,Sun W..,Yun X..,Huang B..,Dong W..,...&Jones P..(2021).An updated evaluation of the global mean land surface air temperature and surface temperature trends based on CLSAT and CMST.Climate Dynamics,56(2021-01-02).
MLA	Li Q.,et al."An updated evaluation of the global mean land surface air temperature and surface temperature trends based on CLSAT and CMST".Climate Dynamics 56.2021-01-02(2021).