气候变化领域集成服务门户(CCPortal): Evaluation of Remote Sensing and Reanalysis Snow Depth Datasets over the Northern Hemisphere during 1980-2016

CCPortal

DOI	10.3390/rs12193253
	Evaluation of Remote Sensing and Reanalysis Snow Depth Datasets over the Northern Hemisphere during 1980-2016
	Xiao, Lin; Che, Tao; Dai, Liyun
发表日期	2020
EISSN	2072-4292
卷号	12 期号:19
英文摘要	Snow cover is a key parameter of the climate system and its significant seasonal and annual variability have significant impacts on the surface energy balance and global water circulation. However, current snow depth datasets show large inconsistencies and uncertainties, which limit their applications in climate change projections and hydrological processes simulations. In this study, a comprehensive assessment of five hemispheric snow depth datasets was carried out against ground observations from 43,391 stations. The five snow depth datasets included three remote sensing datasets, i.e., Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E), Advanced Microwave Scanning Radiometer-2 (AMSR2), Global Snow Monitoring for Climate Research (GlobSnow), and two reanalysis datasets, i.e., ERA-Interim and the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). Assessment results imply that the spatial distribution of GlobSnow and ERA-Interim exhibit overall better agreements with ground observations than other datasets. GlobSnow and ERA-Interim exhibit less uncertainty during the snow accumulation and ablation periods, respectively. In plain and forested regions, GlobSnow, ERA-Interim and MERRA-2 show better performances, while in mountain and forested mountain areas, GlobSnow exhibits the best performance. AMSR-E and AMSR2 agree better with ground observations in shallow snow condition (0-10 cm), while MERRA-2 shows more satisfying performance when snow depth exceeds 50 cm. These systematic and integrated understanding of the five representative snow depth datasets provides information on data selection and data refinement, as well as data fusion, which is our next work of interest.
英文关键词	snow depth; remote sensing; reanalysis; evaluation; the Northern Hemisphere
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS关键词	WATER EQUIVALENT PRODUCTS ; IN-SITU MEASUREMENTS ; PASSIVE-MICROWAVE ; PHYSICAL-PROPERTIES ; GLOBAL REANALYSES ; BRITISH-COLUMBIA ; ALBEDO FEEDBACK ; RADIOMETER DATA ; MODEL ; CLIMATE
WOS记录号	WOS:000587207500001
来源期刊	REMOTE SENSING
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/241034
作者单位	[Xiao, Lin] Sichuan Agr Univ, Natl Forestry & Grassland Adm, Sichuan Prov Key Lab Ecol Forestry Engn Upper Rea, Coll Forestry,Key Lab Forest Resources Conservat, Chengdu 611130, Peoples R China; [Xiao, Lin; Che, Tao; Dai, Liyun] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China; [Dai, Liyun] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Xiao, Lin,Che, Tao,Dai, Liyun. Evaluation of Remote Sensing and Reanalysis Snow Depth Datasets over the Northern Hemisphere during 1980-2016[J]. 中国科学院西北生态环境资源研究院,2020,12(19).
APA	Xiao, Lin,Che, Tao,&Dai, Liyun.(2020).Evaluation of Remote Sensing and Reanalysis Snow Depth Datasets over the Northern Hemisphere during 1980-2016.REMOTE SENSING,12(19).
MLA	Xiao, Lin,et al."Evaluation of Remote Sensing and Reanalysis Snow Depth Datasets over the Northern Hemisphere during 1980-2016".REMOTE SENSING 12.19(2020).