干旱区生态环境知识资源中心(Arid): A Significant Bias of T-max and T-min Average Temperature and Its Trend

Arid

DOI	10.1175/JAMC-D-19-0001.1
	A Significant Bias of T-max and T-min Average Temperature and Its Trend
	Liu, Yulian 1,2; Ren, Guoyu 1,3; Kang, Engyuan 4; Sun, Xiubao 3
通讯作者	Ren, Guoyu
来源期刊	JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
ISSN	1558-8424
EISSN	1558-8432
出版年	2019
卷号	58 期号:10 页码:2235-2246
英文摘要	The systematic bias of the estimated average temperature using daily T-max and T-min records relative to the standard average temperature of four time-equidistant observations and its effect on the estimated trend of long-term temperature change have not been well understood. This paper attempts to evaluate the systematic bias across mainland China using the daily data of national observational stations. The results revealed that the positive bias of annual mean temperature was large, reaching 0.58 degrees C nationally on average; regional average bias was lowest in the northwest arid region and highest in the Qinghai-Tibetan Plateau; the bias was low in spring and summer and high in autumn and winter, reaching its lowest point in mid- and late May and highest point in early November. Furthermore, the bias showed a significant upward trend in the past 50 years, with a rising rate of 0.021 degrees C (10 yr)(-1), accounting for about 12% of the overall warming as estimated from the data of the observational network; the largest positive trend bias was found in the northwest arid region, while the east monsoon region experienced the smallest change; the most remarkable increase of the bias occurred after early 1990s. These results indicate that the customarily applied method to calculate daily and monthly mean temperature using T-max and T-min significantly overestimates the climatological mean and the long-term trend of surface air temperature in mainland China.
英文关键词	Climate change Climate variability Surface temperature Data processing Bias Trends
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000489758800001
WOS关键词	MAINLAND CHINA ; SURFACE ; INDEXES ; SERIES
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216685
作者单位	1.China Univ Geosci, Sch Environm Sci, Dept Atmospher Sci, Wuhan, Hubei, Peoples R China; 2.Heilongjiang Climate Ctr, Harbin, Heilongjiang, Peoples R China; 3.China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing, Peoples R China; 4.Harbin Meteorol Bur, Harbin, Heilongjiang, Peoples R China
推荐引用方式 GB/T 7714	Liu, Yulian,Ren, Guoyu,Kang, Engyuan,et al. A Significant Bias of T-max and T-min Average Temperature and Its Trend[J],2019,58(10):2235-2246.
APA	Liu, Yulian,Ren, Guoyu,Kang, Engyuan,&Sun, Xiubao.(2019).A Significant Bias of T-max and T-min Average Temperature and Its Trend.JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY,58(10),2235-2246.
MLA	Liu, Yulian,et al."A Significant Bias of T-max and T-min Average Temperature and Its Trend".JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY 58.10(2019):2235-2246.