The snowmelt runoff model （SRM） has been widely used in simulation and forecast of streamflow in snow-dominated mountainous basins around the world. This paper presents an overall review of worldwide applications of...The snowmelt runoff model （SRM） has been widely used in simulation and forecast of streamflow in snow-dominated mountainous basins around the world. This paper presents an overall review of worldwide applications of SRM in mountainous watersheds, particularly jn data-sparse watersheds of northwestern China. Issues related to proper selection of input climate variables and parameters, and determination of the snow cover area （SCA）using remote sensing data in snowmelt runoff modeling are discussed through extensive review of literature. Preliminary applications of SRM in northwestern China have shown that the model accuracies are relatively acceptable although most of the watersheds lack measured hydro-meteorological data. Future research could explore the feasibility of modeling snowmelt runoff in data-sparse mountainous watersheds in northwestern China by utilizing snow and glacier cover remote sensing data, geographic information system （GIS） tools, field measurements, and innovative ways of model parameterization.展开更多
In this paper,the performance of the classic snowmelt runoff model(SRM)is evaluated in a daily discharge simulation with two different melt models,the empirical temperature-index melt model and the energy-based radiat...In this paper,the performance of the classic snowmelt runoff model(SRM)is evaluated in a daily discharge simulation with two different melt models,the empirical temperature-index melt model and the energy-based radiation melt model,through a case study from the data-sparse mountainous watershed of the Urumqi River basin in Xinjiang Uyghur Autonomous Region of China.The classic SRM,which uses the empirical temperature-index method,and a radiation-based SRM,incorporating shortwave solar radiation and snow albedo,were developed to simulate daily runoff for the spring and summer snowmelt seasons from 2005 to 2012,respectively.Daily meteorological and hydrological data were collected from three stations located in the watershed.Snow cover area(SCA)was extracted from satellite images.Solar radiation inputs were estimated based on a digital elevation model(DEM).The results showed that the overall accuracy of the classic SRM and radiation-based SRM for simulating snowmeltdischarge was relatively high.The classic SRM outperformed the radiation-based SRM due to the robust performance of the temperature-index model in the watershed snowmelt computation.No significant improvement was achieved by employing solar radiation and snow albedo in the snowmelt runoff simulation due to the inclusion of solar radiation as a temperature-dependent energy source and the local pattern of snowmelt behavior throughout the melting season.Our results suggest that the classic SRM simulates daily runoff with favorable accuracy and that the performance of the radiation-based SRM needs to be further improved by more ground-measured data for snowmelt energy input.展开更多
At a local scale,snow cover is influenced by terrain properties,and it affects water availability across some arid and semiarid regions.This study aimed to quantify the spatial heterogeneity of snow cover due to topog...At a local scale,snow cover is influenced by terrain properties,and it affects water availability across some arid and semiarid regions.This study aimed to quantify the spatial heterogeneity of snow cover due to topographic effects based on moderate-resolution image spectroradiometer(MODIS)daily snow cover products,processed with spatial and backward temporal filters.A snow-dominant region in the middle section of the northern Tianshan Mountains in China was selected,and the snow cover ratio(SCR)and the number of snow cover days(SCD)were investigated.The results suggest that MODIS images are biased toward underestimation of the snow cover in the study region,and the error is primarily manifested within the elevation band of 1500e2500 m.The snow cover is mainly affected by elevation,and snow mostly accumulates above 3800 m.In addition,the differences in SCR and SCD between the south-and north-facing slopes are more significant than those between the east-and west-facing slopes.Notably,the north-facing slopes have the maximum values of SCR and SCD,whereas the south-facing slopes have the minimum values of SCR and SCD.Furthermore,the impact of slope gradients on snow cover varies across seasons.Snow cover on a sloped surface decreases with the slope gradient during winter,while it tends to increase with the slope gradient during the other seasons.Overall,this study presents a useful perspective on the variance in regional snow cover and provides guidance for the water resources management of snow meltwater with different terrain features.展开更多
基金supported by the National Natural Science Foundation of China(Grant No51069017)the Special Fund for Public Welfare Industry of Ministry of Water Resources of China(Grant No201001065)+1 种基金the Open-End Fund of Key Laboratory of Oasis Ecology,Xinjiang University(Grant No XJDX0206-2010-03)the Open-End Fund of the China Institute of Water Resources and Hydropower Research(Grant NoIWHR-SKL-201104)
文摘The snowmelt runoff model （SRM） has been widely used in simulation and forecast of streamflow in snow-dominated mountainous basins around the world. This paper presents an overall review of worldwide applications of SRM in mountainous watersheds, particularly jn data-sparse watersheds of northwestern China. Issues related to proper selection of input climate variables and parameters, and determination of the snow cover area （SCA）using remote sensing data in snowmelt runoff modeling are discussed through extensive review of literature. Preliminary applications of SRM in northwestern China have shown that the model accuracies are relatively acceptable although most of the watersheds lack measured hydro-meteorological data. Future research could explore the feasibility of modeling snowmelt runoff in data-sparse mountainous watersheds in northwestern China by utilizing snow and glacier cover remote sensing data, geographic information system （GIS） tools, field measurements, and innovative ways of model parameterization.
基金funded by the National Natural Science Foundation of China (41771470, 51069017 and 41261090)
文摘In this paper,the performance of the classic snowmelt runoff model(SRM)is evaluated in a daily discharge simulation with two different melt models,the empirical temperature-index melt model and the energy-based radiation melt model,through a case study from the data-sparse mountainous watershed of the Urumqi River basin in Xinjiang Uyghur Autonomous Region of China.The classic SRM,which uses the empirical temperature-index method,and a radiation-based SRM,incorporating shortwave solar radiation and snow albedo,were developed to simulate daily runoff for the spring and summer snowmelt seasons from 2005 to 2012,respectively.Daily meteorological and hydrological data were collected from three stations located in the watershed.Snow cover area(SCA)was extracted from satellite images.Solar radiation inputs were estimated based on a digital elevation model(DEM).The results showed that the overall accuracy of the classic SRM and radiation-based SRM for simulating snowmeltdischarge was relatively high.The classic SRM outperformed the radiation-based SRM due to the robust performance of the temperature-index model in the watershed snowmelt computation.No significant improvement was achieved by employing solar radiation and snow albedo in the snowmelt runoff simulation due to the inclusion of solar radiation as a temperature-dependent energy source and the local pattern of snowmelt behavior throughout the melting season.Our results suggest that the classic SRM simulates daily runoff with favorable accuracy and that the performance of the radiation-based SRM needs to be further improved by more ground-measured data for snowmelt energy input.
基金This work was supported by the Xinjiang Uygur Autonomous Region’s Special Fund for Water Science and Technology(Grant No.2020.B-001)the National Natural Science Foundation of China(Grant No.41901033)Sun Yat-sen University’s Basic Research Fund for Young Scholars(Grant No.19lgpy57).
文摘At a local scale,snow cover is influenced by terrain properties,and it affects water availability across some arid and semiarid regions.This study aimed to quantify the spatial heterogeneity of snow cover due to topographic effects based on moderate-resolution image spectroradiometer(MODIS)daily snow cover products,processed with spatial and backward temporal filters.A snow-dominant region in the middle section of the northern Tianshan Mountains in China was selected,and the snow cover ratio(SCR)and the number of snow cover days(SCD)were investigated.The results suggest that MODIS images are biased toward underestimation of the snow cover in the study region,and the error is primarily manifested within the elevation band of 1500e2500 m.The snow cover is mainly affected by elevation,and snow mostly accumulates above 3800 m.In addition,the differences in SCR and SCD between the south-and north-facing slopes are more significant than those between the east-and west-facing slopes.Notably,the north-facing slopes have the maximum values of SCR and SCD,whereas the south-facing slopes have the minimum values of SCR and SCD.Furthermore,the impact of slope gradients on snow cover varies across seasons.Snow cover on a sloped surface decreases with the slope gradient during winter,while it tends to increase with the slope gradient during the other seasons.Overall,this study presents a useful perspective on the variance in regional snow cover and provides guidance for the water resources management of snow meltwater with different terrain features.
