Coupled hydrological and atmospheric modeling is an efficient method for snowmelt runoff forecast in large basins. We use short-range precipitation forecasts of mesoscale at- mospheric Weather Research and Forecasting...Coupled hydrological and atmospheric modeling is an efficient method for snowmelt runoff forecast in large basins. We use short-range precipitation forecasts of mesoscale at- mospheric Weather Research and Forecasting （WRF） model combining them with ground-based and satellite observations for modeling snow accumulation and snowmelt processes in the Votkinsk reservoir basin （184,319 km2）. The method is tested during three winter seasons （2012-2015）. The MODIS-based vegetation map and leaf area index data are used to calculate the snowmelt intensity and snow evaporation in the studied basin. The GIS-based snow accumulation and snowmelt modeling provides a reliable and highly detailed spatial distribution for snow water equivalent （SWE） and snow-covered areas （SCA）. The modelling results are validated by comparing actual and estimated SWE and SCA data. The actual SCA results are derived from MODIS satellite data. The algorithm for assessing the SCA by MODIS data （ATBD-MOD 10） has been adapted to a forest zone. In general, the proposed method provides satisfactory results for maximum SWE calculations. The calculation accuracy is slightly degraded during snowmelt periods. The SCA data is simulated with a higher reliability than the SWE data. The differences between the simulated and actual SWE may be explained by the overestimation of the WRF-simulated total precipitation and the unrepresentativeness of the SWE measurements （snow survey）.展开更多
Snowmelt water is an essential runoff source of some alpine rivers in China. This study selected the Upper Burqin River(UBR), a typical snow-fed river, to quantitatively assess the runoff contributions of different co...Snowmelt water is an essential runoff source of some alpine rivers in China. This study selected the Upper Burqin River(UBR), a typical snow-fed river, to quantitatively assess the runoff contributions of different components, as well as the causes of runoff variations under the background of cryosphere change and global warming. Based on the spatial-temporal distributions of snow and glaciers during a year, as well as the altitudinal variations of 0 ℃ isotherm, the high flow hydrographs in UBR was separated into two parts: seasonal snowmelt flood of lower altitudes(<3,000 m) and glacier-snow melt flow in high altitudes(3,000-4,296 m). The daily baseflow hydrograph of UBR was separated by the digital filtering technique. It is concluded that the contributions of snowmelt flow, glacier melt flow, and baseflow(includes rainfall runoff component) to total annual flow volumes are 27.2%(±2.7%), 8.5%(±1.7%), and 64.3%(±3.0%), respectively. The speed of air temperature rise in spring may be the controlling factor for monthly snowmelt flow distributions in the snow-fed river. The volume of snowmelt was determined by spring precipitation(SP) and previous winter’s precipitation(PWP). The PWP changes can explain 43.7% of snowmelt changes during 1981-2010 in UBR, while snowmelt change in 1957-1980 is more impacted by SP. The determining factor of snowmelt variation was changed from SP to PAP during the recent decades. Precipitation in current year, excluding previous year’s rainfall and snowfall, can only explain 32%-70% of the variability in total runoff.展开更多
文摘Coupled hydrological and atmospheric modeling is an efficient method for snowmelt runoff forecast in large basins. We use short-range precipitation forecasts of mesoscale at- mospheric Weather Research and Forecasting （WRF） model combining them with ground-based and satellite observations for modeling snow accumulation and snowmelt processes in the Votkinsk reservoir basin （184,319 km2）. The method is tested during three winter seasons （2012-2015）. The MODIS-based vegetation map and leaf area index data are used to calculate the snowmelt intensity and snow evaporation in the studied basin. The GIS-based snow accumulation and snowmelt modeling provides a reliable and highly detailed spatial distribution for snow water equivalent （SWE） and snow-covered areas （SCA）. The modelling results are validated by comparing actual and estimated SWE and SCA data. The actual SCA results are derived from MODIS satellite data. The algorithm for assessing the SCA by MODIS data （ATBD-MOD 10） has been adapted to a forest zone. In general, the proposed method provides satisfactory results for maximum SWE calculations. The calculation accuracy is slightly degraded during snowmelt periods. The SCA data is simulated with a higher reliability than the SWE data. The differences between the simulated and actual SWE may be explained by the overestimation of the WRF-simulated total precipitation and the unrepresentativeness of the SWE measurements （snow survey）.
基金the National Natural Science Foundation of China(Nos.41877156,41730751,41771040,41771084)the International Science&Technology Cooperation Program of China(No.2018YFE010010002).
文摘Snowmelt water is an essential runoff source of some alpine rivers in China. This study selected the Upper Burqin River(UBR), a typical snow-fed river, to quantitatively assess the runoff contributions of different components, as well as the causes of runoff variations under the background of cryosphere change and global warming. Based on the spatial-temporal distributions of snow and glaciers during a year, as well as the altitudinal variations of 0 ℃ isotherm, the high flow hydrographs in UBR was separated into two parts: seasonal snowmelt flood of lower altitudes(<3,000 m) and glacier-snow melt flow in high altitudes(3,000-4,296 m). The daily baseflow hydrograph of UBR was separated by the digital filtering technique. It is concluded that the contributions of snowmelt flow, glacier melt flow, and baseflow(includes rainfall runoff component) to total annual flow volumes are 27.2%(±2.7%), 8.5%(±1.7%), and 64.3%(±3.0%), respectively. The speed of air temperature rise in spring may be the controlling factor for monthly snowmelt flow distributions in the snow-fed river. The volume of snowmelt was determined by spring precipitation(SP) and previous winter’s precipitation(PWP). The PWP changes can explain 43.7% of snowmelt changes during 1981-2010 in UBR, while snowmelt change in 1957-1980 is more impacted by SP. The determining factor of snowmelt variation was changed from SP to PAP during the recent decades. Precipitation in current year, excluding previous year’s rainfall and snowfall, can only explain 32%-70% of the variability in total runoff.
