DOI: 10.5194/hess-18-747-2014
Scopus记录号: 2-s2.0-84896737779
论文题名: Correcting basin-scale snowfall in a mountainous basin using a distributed snowmelt model and remote-sensing data
作者: Shrestha M ; , Wang L ; , Koike T ; , Tsutsui H ; , Xue Y ; , Hirabayashi Y
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 2 起始页码: 747
结束页码: 761
语种: 英语
Scopus关键词: Correction factors
; Hydrologic modelling
; Moderate resolution imaging spectroradiometer
; Mountainous basins
; Multi-objective calibration
; Short-wave radiation
; Snow cover simulation
; Topographic effects
; Estimation
; Pixels
; Radiometers
; Remote sensing
; Satellite imagery
; Snow melting systems
; Spatial distribution
; Snow
; air temperature
; algorithm
; data set
; error analysis
; hydrological modeling
; MODIS
; pixel
; remote sensing
; shortwave radiation
; snow cover
; snowmelt
; spatial distribution
; topographic effect
; Gumma
; Honshu
; Japan
; Kanto
; Tone River [Kanto]
; Yagisawa Basin
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 (Cfsnow). 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 0.0007 m-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 1160 mm (780 mm 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. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78315
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil Engineering, University of Tokyo, Tokyo, Japan; Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; Department of Geography, University of California, Los Angeles, CA, United States; Institute of Engineering Innovation, University of Tokyo, Tokyo, Japan
Recommended Citation:
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]. Hydrology and Earth System Sciences,2014-01-01,18(2)