气候变化领域集成服务门户(CCPortal): Correcting basin-scale snowfall in a mountainous basin using a distributed snowmelt model and remote-sensing data

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DOI	10.5194/hess-18-747-2014
	Correcting basin-scale snowfall in a mountainous basin using a distributed snowmelt model and remote-sensing data
	Shrestha, M.; Wang, L.; Koike, T.; Tsutsui, H.; Xue, Y.; Hirabayashi, Y.
通讯作者	Shrestha, M (通讯作者)
发表日期	2014
ISSN	1027-5606
EISSN	1607-7938
起始页码	747
结束页码	761
卷号	18 期号:2
英文摘要	Adequate estimation of the spatial distribution of snowfall is critical in hydrologic modelling. However, this is a well-known problem in estimating basin-scale snowfall, especially in mountainous basins with data scarcity. This study focuses on correction and estimation of this spatial distribution, which considers topographic effects within the basin. A method is proposed that optimises an altitude-based snowfall correction factor (C-fsnow). This is done through multi-objective calibration of a spatially distributed, multilayer energy and water balance-based snowmelt model (WEB-DHM-S) with observed discharge and remotely sensed snow cover data from the Moderate Resolution Imaging Spectroradiometer (MODIS). The Shuffled Complex Evolution-University of Arizona (SCE-UA) automatic search algorithm is used to obtain the optimal value of C-fsnow for minimum cumulative error in discharge and snow cover simulations. Discharge error is quantified by Nash-Sutcliffe efficiency and relative volume deviation, and snow cover error was estimated by pixel-by-pixel analysis. The study region is the heavily snow-fed Yagisawa Basin of the Upper Tone River in northeast Japan. First, the system was applied to one snow season (2002-2003), obtaining an optimised C-fsnow of 0.0007m(-1). For validation purposes, the optimised C-fsnow was implemented to correct snowfall in 2004, 2002 and 2001. Overall, the system was effective, implying improvements in correlation of simulated versus observed discharge and snow cover. The 4 yr mean of basin-average snowfall for the corrected spatial snowfall distribution was 1160mm (780mm before correction). Execution of sensitivity runs against other model input and parameters indicated that C-fsnow could be affected by uncertainty in shortwave radiation and setting of the threshold air temperature parameter. Our approach is suitable to correct snowfall and estimate its distribution in poorly gauged basins, where elevation dependence of snowfall amount is strong.
关键词	UPPER TONE RIVER COVERED AREA SOLID PRECIPITATION HYDROLOGICAL MODEL RUNOFF WATER STREAMFLOW ASSIMILATION SIMULATIONS VALIDATION
语种	英语
WOS研究方向	Geology ; Water Resources
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS记录号	WOS:000332448800023
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258338
推荐引用方式 GB/T 7714	Shrestha, M.,Wang, L.,Koike, T.,et al. Correcting basin-scale snowfall in a mountainous basin using a distributed snowmelt model and remote-sensing data[J]. 中国科学院青藏高原研究所,2014,18(2).
APA	Shrestha, M.,Wang, L.,Koike, T.,Tsutsui, H.,Xue, Y.,&Hirabayashi, Y..(2014).Correcting basin-scale snowfall in a mountainous basin using a distributed snowmelt model and remote-sensing data.HYDROLOGY AND EARTH SYSTEM SCIENCES,18(2).
MLA	Shrestha, M.,et al."Correcting basin-scale snowfall in a mountainous basin using a distributed snowmelt model and remote-sensing data".HYDROLOGY AND EARTH SYSTEM SCIENCES 18.2(2014).