Incorporating remotely-sensed snow albedo into a spatially-distributed snowmelt model

被引:66
作者
Molotch, NP [1 ]
Painter, TH
Bales, RC
Dozier, J
机构
[1] Univ Arizona, Dept Hydrol & Water Resources, Tucson, AZ 85721 USA
[2] Univ Colorado, Natl Snow & Ice Data Ctr, Boulder, CO 80309 USA
[3] Univ Calif, Div Engn, Merced, CA USA
[4] Univ Calif Santa Barbara, Donald Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA
关键词
D O I
10.1029/2003GL019063
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Basin-average albedo estimated from remotely-sensed Airborne Visible/Infrared Imaging Spectroradiometer (AVIRIS) data specific to the catchment typically differed by 20% from albedo estimated using a common snow-age-based empirical relation. In some parts of the basin, differences were as large as 0.31. Using the AVIRIS albedo estimates in a distributed snowmelt model that explicitly includes net solar radiation resulted in a much more accurate estimate of the timing and magnitude of snowmelt as compared to the same model with the empirical albedo (R-2 of 0.73 versus 0.59 and magnitude error of 2% versus 36%). Model improvement was most significant in areas and at times where incident solar radiation was relatively high and temperatures low.
引用
收藏
页码:L035011 / 4
页数:4
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