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Statistical probability distribution of snow depth at the model sub‐grid cell spatial scale
Author(s) -
Marchand WolfDietrich,
Killingtveit Ånund
Publication year - 2004
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/hyp.5543
Subject(s) - snow , terrain , scale (ratio) , grid cell , grid , statistical model , standard deviation , linear regression , probability distribution , spatial distribution , geology , environmental science , meteorology , remote sensing , statistics , mathematics , cartography , geomorphology , geodesy , geography
Comprehensive snow depth data, collected using georadar and hand probing, were used for statistical analyses of snow depths inside 1 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 © 2004 John Wiley & Sons, Ltd.