期刊
HYDROLOGICAL PROCESSES
卷 19, 期 2, 页码 355-369出版社
WILEY
DOI: 10.1002/hyp.5543
关键词
snow distribution; sub-grid; spatial distribution; georadar; distributed hydrological models; terrain variables; statistical analysis
Comprehensive snow depth data, collected using georadar and hand probing, were used for statistical analyses of snow depths inside I km grid cells. The sub-grid cell spatial scale was 100 m. Statistical distribution functions were found to have varying parameters, and an attempt was made to connect these statistical parameters to different terrain variables. The results showed that the two parameters mean and standard deviation of snow depth were significantly related to the sub-grid terrain characteristics. Linear regression models could explain up to 50% of the variation for both of the snowcover parameters mentioned. Copyright (C) 2004 John Wiley Sons, Ltd.
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