气候变化领域集成服务门户(CCPortal): Investigating the Ability of Multiple Reanalysis Datasets to Simulate Snow Depth Variability over Mainland China from 1981 to 2018

CCPortal

DOI	10.1175/JCLI-D-20-0804.1
	Investigating the Ability of Multiple Reanalysis Datasets to Simulate Snow Depth Variability over Mainland China from 1981 to 2018
	Zhang, Hongbo; Zhang, Fan; Che, Tao; Yan, Wei; Ye, Ming
通讯作者	Zhang, F (通讯作者)，Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China. ; Zhang, F (通讯作者)，CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China. ; Zhang, F (通讯作者)，Univ Chinese Acad Sci, Beijing, Peoples R China.
发表日期	2021
ISSN	0894-8755
EISSN	1520-0442
起始页码	9957
结束页码	9972
卷号	34 期号:24
英文摘要	Though the use of reanalysis datasets to analyze snow changes is increasingly popular, the snow depth variability in China simulated by multiple reanalysis datasets has not been well evaluated. Also, the extent of regional snow depth variability and its driving mechanisms are still unknown. In this study, monthly snow depth observations from 325 stations during the period of 1981-2018 were taken to evaluate the ability of five reanalysis datasets (JRA-55, MERRA-2, GLDAS2, ERAS, and ERASL) to simulate the spatial and temporal variability of snow depth in China. The evaluation results indicate that MERRA-2 has the lowest root-mean-square deviation of snow depth and a high spatial correlation coefficient with observations. This may be partly related to the high accuracy of precipitation and temperature in MERRA-2. Also, the 31 combinations of the five reanalysis datasets do not yield better accuracy in snow depth than MERRA-2 alone. This is because the other four datasets have larger uncertainty. Based on MERRA-2, four hot-spot regions with significant snow depth changes from 1981 to 2018 were identified, including the central Xinjiang (XJ-C), the southern part of the northeastern plain and mountain (NPM-S), and the southwestern (TP-SW) and southeastern (TP-SE) portions of the Tibetan Plateau. Snow depth changes mostly occurred in spring in TP-SW and winter in XJ-C, NPM-S, and TP-SE. The snow depth increase in XJ-C, NPM-S, and TP-SW is mainly caused by increased seasonal precipitation, while the snow depth decrease in TP-SE is attributed to the combined effects of decreased precipitation and warming temperature in winter.
关键词	LAND-SURFACE MODEL WATER EQUIVALENT TIBETAN PLATEAU GLOBAL REANALYSES IN-SITU COVER PRODUCTS ASSIMILATION THERMODYNAMICS PRECIPITATION
英文关键词	Atmosphere; Snow; Reanalysis data; Climate variability
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000752652100022
来源期刊	JOURNAL OF CLIMATE
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254969
作者单位	[Zhang, Hongbo] China Agr Univ, Coll Water Resources & Civil Engn, Beijing, Peoples R China; [Zhang, Hongbo; Zhang, Fan] Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China; [Zhang, Hongbo] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou, Peoples R China; [Zhang, Hongbo] Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Peoples R China; [Zhang, Fan] CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China; [Zhang, Fan] Univ Chinese Acad Sci, Beijing, Peoples R China; [Che, Tao] Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China; [Yan, Wei] Xinyang Normal Univ, Sch Geog Sci, Xinyang, Peoples R China; [Ye, Ming] Florida State Univ, Dept Earth Ocean & Atmospher Sci, Tallahassee, FL 32306 USA
推荐引用方式 GB/T 7714	Zhang, Hongbo,Zhang, Fan,Che, Tao,et al. Investigating the Ability of Multiple Reanalysis Datasets to Simulate Snow Depth Variability over Mainland China from 1981 to 2018[J]. 中国科学院西北生态环境资源研究院,2021,34(24).
APA	Zhang, Hongbo,Zhang, Fan,Che, Tao,Yan, Wei,&Ye, Ming.(2021).Investigating the Ability of Multiple Reanalysis Datasets to Simulate Snow Depth Variability over Mainland China from 1981 to 2018.JOURNAL OF CLIMATE,34(24).
MLA	Zhang, Hongbo,et al."Investigating the Ability of Multiple Reanalysis Datasets to Simulate Snow Depth Variability over Mainland China from 1981 to 2018".JOURNAL OF CLIMATE 34.24(2021).