Fractional snow cover in the Colorado and Rio Grande basins, 1995-2002

被引:17
作者
Bales, R. C. [1 ]
Dressler, K. A. [2 ]
Imam, B. [3 ]
Fassnacht, S. R. [4 ]
Lampkin, D. [5 ]
机构
[1] Univ Calif, Sch Engn, Merced, CA 95344 USA
[2] Penn State Univ, Penn State Inst Energy & Environm, University Pk, PA 16802 USA
[3] Univ Calif Irvine, Dept Civil & Environm Engn, Henry Samueli Sch Engn, Irvine, CA 92697 USA
[4] Colorado State Univ, Watershed Sci Program, Ft Collins, CO 80523 USA
[5] Penn State Univ, Dept Geog, University Pk, PA 16802 USA
关键词
D O I
10.1029/2006WR005377
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A cloud-masked fractional snow-covered area (SCA) product gridded at 1 km was developed from the advanced very high resolution radiometer for the Colorado River and upper Rio Grande basins for 1995-2002. Cloud cover limited SCA retrievals on any given 1-km(2) pixel to on average once per week. There were sufficient cloud-free scenes to map SCA over at least part of the basins up to 21 days per month, with 3 months having only two scenes sufficiently cloud free to process. In the upper Colorado and upper Grande, SCA peaked in February-March. Maxima were 1-2 months earlier in the lower Colorado. Averaged over a month, as much as 32% of the upper Colorado and 5.5% of the lower Colorado were snow covered. Snow cover persisted longest at higher elevations for both wet and dry years. Interannual variability in snow cover persistence reflected wet-dry year differences. Compared with an operational (binary) SCA product produced by the National Operational Hydrologic Remote Sensing Center, the current products classify a lower fraction of pixels as having detectable snow and being cloud covered (5.5% for SCA and 6% for cloud), with greatest differences in January and June in complex, forested terrain. This satellite-derived subpixel determination of snow cover provides the potential for enhanced hydrologic forecast abilities in areas of complex, snow-dominated terrain. As an example, we merged the SCA product with interpolated ground-based snow water equivalent (SWE) to develop a SWE time series. This interpolated, masked SWE peaked in April, after SCA peaked and after some of the lower-elevation snow cover had melted.
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页数:10
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