Simulation of snow distribution and melt under cloudy conditions in an Alpine watershed
Simulation of snow distribution and melt under cloudy conditions in an Alpine watershed
复制标题
高山流域阴天条件下积雪分布和融化模拟
DOI：
10.5194/hess-15-2195-2011
复制
发表时间：
2010-05
影响因子：
6.3
通讯作者：
Wang, J.
中科院分区：
文献类型：
--
作者：
Li, H. -Y.;Wang, J.
抽象。利用能量平衡方法和遥感资料，模拟了中国西北部高山小流域在一个完整的积雪-融化期内的积雪分布和融化情况。利用气象观测数据和流域数字高程模型对流域的空间能量收支进行了模拟。利用中分辨率成像光谱仪（MODIS）数据，采用线性插值方法估算了多云条件下的日积雪面积。模拟结果包括逐时积雪分布和融化、积雪覆盖范围和日流量。实测雪水当量采样值与模拟结果的均方根误差为3.2cm。实测流量与模拟流量之间的Nash和Sutcliffe效率统计量（NSE）为0.673，体积差（Dv）为3.9%。利用本文介绍的方法，模拟空间积雪分布和融水径流将变得相对方便。
Abstract. An energy balance method and remote-sensing data were used to simulate snow distribution and melt in an alpine watershed in northwestern China within a complete snow accumulation-melt period. The spatial energy budgets were simulated using meteorological observations and a digital elevation model of the watershed. A linear interpolation method was used to estimate the daily snow cover area under cloudy conditions, using Moderate Resolution Imaging Spectroradiometer (MODIS) data. Hourly snow distribution and melt, snow cover extent and daily discharge were included in the simulated results. The root mean square error between the measured snow-water equivalent samplings and the simulated results is 3.2 cm. The Nash and Sutcliffe efficiency statistic (NSE) between the measured and simulated discharges is 0.673, and the volume difference (Dv) is 3.9 %. Using the method introduced in this article, modelling spatial snow distribution and melt runoff will become relatively convenient.
登录
查看更多内容
影响因子：
5.4
作者：
N. Raderschall;M. Lehning;C. Schär
通讯作者：
N. Raderschall;M. Lehning;C. Schär
影响因子：
3.2
作者：
R. Ranzi;G. Grossi;B. Bacchi
通讯作者：
R. Ranzi;G. Grossi;B. Bacchi
影响因子：
--
作者：
R. Sloan;J. H. Shaw;Dudley Williams
通讯作者：
R. Sloan;J. H. Shaw;Dudley Williams
影响因子：
--
作者：
IDSO, SB;JACKSON, RD
通讯作者：
JACKSON, RD
DOI：
10.5194/hess-14-557-2010
发表时间：
2009-11
期刊：
Hydrology and Earth System Sciences Discussion
影响因子：
--
作者：
Jin Rui;Li Hongyi;T.Koike;Wang Lei;Yang Kun
通讯作者：
Yang Kun