气候变化领域集成服务门户(CCPortal): A new approach to homogenize global subdaily radiosonde temperature data from 1958 to 2018

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DOI	10.1175/JCLI-D-20-0352.1
	A new approach to homogenize global subdaily radiosonde temperature data from 1958 to 2018
	Zhou C.; Wang J.; Dai A.; Thorne P.W.
发表日期	2021
ISSN	0894-8755
起始页码	1163
结束页码	1183
卷号	34 期号:3
英文摘要	This study develops an innovative approach to homogenize discontinuities in both mean and variance in global subdaily radiosonde temperature data from 1958 to 2018. First, temperature natural variations and changes are estimated using reanalyses and removed from the radiosonde data to construct monthly and daily difference series. A penalized maximal F test and an improved Kolmogorov-Smirnov test are then applied to the monthly and daily difference series to detect spurious shifts in the mean and variance, respectively. About 60% (40%) of the changepoints appear in the mean (variance), and;56% of them are confirmed by available metadata. The changepoints display a country-dependent pattern likely due to changes in national radiosonde networks. Mean segment length is 7.2 (14.6) years for the mean (variance)-based detection. A mean (quantile)-matching method using up to 5 years of data from two adjacent mean (variance)-based segments is used to adjust the earlier segments relative to the latest segment. The homogenized series is obtained by adding the two homogenized difference series back to the subtracted reference series. The homogenized data exhibit more spatially coherent trends and temporally consistent variations than the raw data, and lack the spurious tropospheric cooling over North China and Mongolia seen in several reanalyses and raw datasets. The homogenized data clearly show a warming maximum around 300 hPa over 308S-308N, consistent with model simulations, in contrast to the raw data. The results suggest that spurious changes are numerous and significant in the radiosonde records and our method can greatly improve their homogeneity. © 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
英文关键词	Computational complexity; Consistent variation; Innovative approaches; Kolmogorov-Smirnov test; Matching methods; Model simulation; Natural variation; Radiosonde datas; Radiosonde temperature; Radiosondes
语种	英语
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/170941
作者单位	Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, NY, United States; New York State Mesonet, University at Albany, State University of New York, Albany, NY, United States; Irish Climate Analysis and Research Units, Department of Geography, Maynooth University, Maynooth, Ireland
推荐引用方式 GB/T 7714	Zhou C.,Wang J.,Dai A.,et al. A new approach to homogenize global subdaily radiosonde temperature data from 1958 to 2018[J],2021,34(3).
APA	Zhou C.,Wang J.,Dai A.,&Thorne P.W..(2021).A new approach to homogenize global subdaily radiosonde temperature data from 1958 to 2018.Journal of Climate,34(3).
MLA	Zhou C.,et al."A new approach to homogenize global subdaily radiosonde temperature data from 1958 to 2018".Journal of Climate 34.3(2021).