Assessment of Three Common Methods for Estimating Terrestrial Water Storage Change with Three Reanalysis Datasets

doi:10.1175/JCLI-D-18-0637.1

	Assessment of Three Common Methods for Estimating Terrestrial Water Storage Change with Three Reanalysis Datasets
	Deng, Shanshan ; Liu, Suxia 1; Mo, Xingguo
刊名	JOURNAL OF CLIMATE
	2020
卷号	33 期号:2 页码:511-525
关键词	Hydrology Water budget balance
ISSN号	0894-8755
DOI	10.1175/JCLI-D-18-0637.1
通讯作者	Liu, Suxia(liusx@igsnrr.ac.cn)
英文摘要	Terrestrial water storage change (TWSC) plays a crucial role in the hydrological cycle and climate system. To date, methods including 1) the terrestrial water balance method (PER), 2) the combined atmospheric and terrestrial water balance method (AT), and 3) the summation method (SS) have been developed to estimate TWSC, but the accuracy of these methods has not been systematically compared. This paper compares the spatial and temporal differences of the TWSC estimates by the three methods comprehensively with the GRACE data during the 2002-13 period. To avoid the impact of different inputs in the comparison, three advanced reanalysis datasets are used, namely 1) the National Centers for Environmental Prediction (NCEP)-Department of Energy (DOE) Reanalysis II (NCEP R2), 2) the ECMWF interim reanalysis (ERA-Interim), and 3) the Japanese 55-Year Reanalysis (JRA-55). The results show that all estimates with PER and AT considerably overestimate the long-term mean on a regional scale because the data assimilation in the reanalysis opens the water budget. The difficulty of atmospheric observation and simulation in arid and polar tundra regions is the documented reason for the failure of the AT method to represent the TWSC phase over 30% of the region found in this study. Although the SS result exhibited the best overall agreement with GRACE, the amplitude of TWSC based on SS differed substantially from that of GRACE and the similarity coefficient of the global distribution between the SS-derived estimate and GRACE is still not high. More detailed considerations of groundwater and human activities, for example, irrigation and reservoir impoundments, can help SS to achieve a higher accuracy.
资助项目	National KeyResearch and Development Program of China[2017YFA0603702] ; National KeyResearch and Development Program of China[2018YFE0106500] ; National Program on Key Basic Research Project of China[2012CB957802] ; Danida Fellowship Centre EOForChina project[12-31359-K] ; China Scholarship Council
WOS关键词	SEASONAL-VARIATIONS ; TEMPORAL VARIATION ; RIVER-BASIN ; GRACE ; AMAZON ; MODEL ; ASSIMILATION ; PERFORMANCE ; DROUGHT ; BALANCE
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	AMER METEOROLOGICAL SOC
WOS记录号	WOS:000502749100002
资助机构	National KeyResearch and Development Program of China ; National Program on Key Basic Research Project of China ; Danida Fellowship Centre EOForChina project ; China Scholarship Council
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/130756]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Suxia
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Sino Danish Coll, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Deng, Shanshan,Liu, Suxia,Mo, Xingguo. Assessment of Three Common Methods for Estimating Terrestrial Water Storage Change with Three Reanalysis Datasets[J]. JOURNAL OF CLIMATE,2020,33(2):511-525.
APA	Deng, Shanshan,Liu, Suxia,&Mo, Xingguo.(2020).Assessment of Three Common Methods for Estimating Terrestrial Water Storage Change with Three Reanalysis Datasets.JOURNAL OF CLIMATE,33(2),511-525.
MLA	Deng, Shanshan,et al."Assessment of Three Common Methods for Estimating Terrestrial Water Storage Change with Three Reanalysis Datasets".JOURNAL OF CLIMATE 33.2(2020):511-525.