气候变化领域集成服务门户(CCPortal): Validation of the SNTHERM Model Applied for Snow Depth, Grain Size, and Brightness Temperature Simulation at Meteorological Stations in China

CCPortal

DOI	10.3390/rs12030507
	Validation of the SNTHERM Model Applied for Snow Depth, Grain Size, and Brightness Temperature Simulation at Meteorological Stations in China
	Chen, Tao; Pan, Jinmei; Chang, Shunli; Xiong, Chuan; Shi, Jiancheng; Liu, Mingyu; Che, Tao; Wang, Lifu; Liu, Hongrui
发表日期	2020
EISSN	2072-4292
卷号	12 期号:3
英文摘要	Validation of the snow process model is an important preliminary work for the snow parameter estimation. The snow grain growth is a continuous and accumulative process, which cannot be evaluated without comparing with the observations in snow season scale. In order to understand the snow properties in the Asian Water Tower region (including Xinjiang province and the Tibetan Plateau) and enhance the use of modeling tools, an extended snow experiment at the foot of the Altay Mountain was designed to validate and improve the coupled physical Snow Thermal Model (SNTHERM) and the Microwave Emission Model of Layered Snowpacks (MEMLS). By matching simultaneously the observed snow depth, geometric grain size, and observed brightness temperature (T-B), with an RMSE of 1.91 cm, 0.47 mm, and 4.43 K (at 36.5 GHz, vertical polarization), respectively, we finalized the important model coefficients, which are the grain growth coefficient and the grain size to exponential correlation length conversion coefficients. When extended to 102 meteorological stations in the 2008-2009 winter, the SNTHERM predicted the daily snow depth with an accuracy of 2-4 cm RMSE, and the coupled SNTHERM-MEMLS model predicted the satellite-observed T-B with an accuracy of 13.34 K RMSE at 36.5 GHz, vertical polarization, with the fractional snow cover considered.
英文关键词	snow; snow process model validation; snow depth; snow grain size; passive microwave; SNTHERM; MEMLS
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	IN-SITU OBSERVATIONS ; LAND-SURFACE MODEL ; PHYSICAL-PROPERTIES ; MICROWAVE RADIANCE ; EMISSION MODEL ; SEASONAL SNOW ; COVER ; SOIL ; SCHEME ; CLIMATE
WOS记录号	WOS:000515393800166
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/241061
作者单位	[Chen, Tao; Pan, Jinmei; Shi, Jiancheng; Liu, Mingyu] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Chen, Tao; Chang, Shunli] Xinjiang Univ, Coll Resource & Environm Sci, Key Lab Oasis Ecol, Minist Educ, Urumqi 830046, Peoples R China; [Xiong, Chuan] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Peoples R China; [Liu, Mingyu] Northwest Univ, Shaanxi Key Lab Earth Sci Syst & Environm Carryin, Xian 710127, Peoples R China; [Che, Tao] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China; [Wang, Lifu; Liu, Hongrui] Altay Meteorol Bur, Altay 836500, Peoples R China
推荐引用方式 GB/T 7714	Chen, Tao,Pan, Jinmei,Chang, Shunli,et al. Validation of the SNTHERM Model Applied for Snow Depth, Grain Size, and Brightness Temperature Simulation at Meteorological Stations in China[J]. 中国科学院西北生态环境资源研究院,2020,12(3).
APA	Chen, Tao.,Pan, Jinmei.,Chang, Shunli.,Xiong, Chuan.,Shi, Jiancheng.,...&Liu, Hongrui.(2020).Validation of the SNTHERM Model Applied for Snow Depth, Grain Size, and Brightness Temperature Simulation at Meteorological Stations in China.REMOTE SENSING,12(3).
MLA	Chen, Tao,et al."Validation of the SNTHERM Model Applied for Snow Depth, Grain Size, and Brightness Temperature Simulation at Meteorological Stations in China".REMOTE SENSING 12.3(2020).