Intercomparisons of multiproxy-based gridded precipitation datasets in Monsoon Asia: cross-validation and spatial patterns with different phase combinations of multidecadal oscillations

doi:10.1007/s10584-021-03072-6

	Intercomparisons of multiproxy-based gridded precipitation datasets in Monsoon Asia: cross-validation and spatial patterns with different phase combinations of multidecadal oscillations
	Liu, Yang 1; Hao, Zhixin 1,2; Zhang, Xuezhen 1,2; Zheng, Jingyun 1,2
刊名	CLIMATIC CHANGE
	2021-03-01
卷号	165 期号:1-2 页码:16
关键词	Precipitation reconstruction Gridded dataset Asia Multidecadal oscillation Spatial pattern
ISSN号	0165-0009
DOI	10.1007/s10584-021-03072-6
通讯作者	Zheng, Jingyun(zhengjy@igsnrr.ac.cn)
英文摘要	Proxy-based reconstructions are essential for investigating precipitation change in Asia on multidecadal to centennial timescales. Thus far, a total of four gridded precipitation/drought datasets for the past half millennium have been developed, including reconstructed Asian summer precipitation (RAP), May-September precipitation in China (IGGPRE), warm season precipitation for Asia (WSP), and Monsoon Asia Drought Atlas (MADA). This study uses some independent evidence to evaluate and compare the four reconstructions and then examine the spatial patterns of precipitation under different phase combinations of the Atlantic multidecadal oscillation (AMO) and Pacific decadal oscillation (PDO). The results suggest that RAP and IGGPRE capture most variance of observations in eastern China, WSP performs better in central Asia and India, while MADA shows skill over Mongolia and the eastern Tibet Plateau. When proxies are evenly distributed in space, increasing the sample size contributes more to the explained variance than increasing the signal-to-noise ratio. In terms of the responses to the multidecadal oscillations, the spatial correlation coefficients are all negative between pairs of patterns, with only one of the oscillations residing in opposite phase. This means that all four reconstructed datasets capture the reverse spatial pattern when the phase of multidecadal oscillation changes. The WSP is the only dataset that shows positively correlated spatial patterns when the AMO and the PDO reverse together. The RAP and IGGPRE are more sensitive to the AMO than to the PDO, because the negative correlations caused by the AMO exhibit higher confidence levels. The spatial pattern in history is similar to that in the twentieth century when the PDO and AMO are both in positive phase, which indicates that the mechanism in this situation is stable over the long-term period.
资助项目	National Key R&D Program of China on Global change[2017YFA0603300] ; National Natural Science Foundation of China[42005043] ; National Natural Science Foundation of China[41831174]
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000633381600001
资助机构	National Key R&D Program of China on Global change ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162140]
专题	中国科学院地理科学与资源研究所
通讯作者	Zheng, Jingyun
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Liu, Yang,Hao, Zhixin,Zhang, Xuezhen,et al. Intercomparisons of multiproxy-based gridded precipitation datasets in Monsoon Asia: cross-validation and spatial patterns with different phase combinations of multidecadal oscillations[J]. CLIMATIC CHANGE,2021,165(1-2):16.
APA	Liu, Yang,Hao, Zhixin,Zhang, Xuezhen,&Zheng, Jingyun.(2021).Intercomparisons of multiproxy-based gridded precipitation datasets in Monsoon Asia: cross-validation and spatial patterns with different phase combinations of multidecadal oscillations.CLIMATIC CHANGE,165(1-2),16.
MLA	Liu, Yang,et al."Intercomparisons of multiproxy-based gridded precipitation datasets in Monsoon Asia: cross-validation and spatial patterns with different phase combinations of multidecadal oscillations".CLIMATIC CHANGE 165.1-2(2021):16.