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DOI10.1007/s00382-019-04757-6
On the min–max estimation of mean daily temperatures
Tsonis A.A.; Pan X.; Wang G.; Nicolis C.
发表日期2019
ISSN0930-7575
起始页码1981
结束页码1989
卷号53期号:2020-03-04
英文摘要Modern data analyses of hourly temperature records reveal the existence, in addition to the daily cycle, of multiple forcings of different frequencies. As a result the routine approach of estimating daily local mean temperature directly from the average of the minimum and maximum is heavily compromised. A simple dynamical model subjected to two periodic forcings of different frequencies, amplitudes and phases is solved analytically and shown to induce substantial deviations from the min–max method that depend crucially on the values of the parameters involved. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词Driving forces; Mean daily temperature; Slow feature analysis
语种英语
scopus关键词atmospheric dynamics; atmospheric forcing; diurnal variation; estimation method; numerical model; temperature effect
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/146081
作者单位Department of Mathematical Sciences, Atmospheric Sciences Group, University of Wisconsin-Milwaukee, Milwaukee, United States; Hydrologic Research Center, San Diego, United States; Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Institut Royal Meteorologique de Belgique, 3 Avenue Circulaire, Brussels, 1180, Belgium
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Tsonis A.A.,Pan X.,Wang G.,等. On the min–max estimation of mean daily temperatures[J],2019,53(2020-03-04).
APA Tsonis A.A.,Pan X.,Wang G.,&Nicolis C..(2019).On the min–max estimation of mean daily temperatures.Climate Dynamics,53(2020-03-04).
MLA Tsonis A.A.,et al."On the min–max estimation of mean daily temperatures".Climate Dynamics 53.2020-03-04(2019).
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