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Relative importance of meteorological variables in snowmelt
Author(s) -
Zuzel John F.,
Cox Lloyd M.
Publication year - 1975
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr011i001p00174
Subject(s) - snowmelt , environmental science , meteorology , wind speed , regression analysis , atmospheric pressure , atmospheric sciences , air temperature , climatology , snow , hydrology (agriculture) , statistics , geography , geology , mathematics , geotechnical engineering
To improve predictive equations of the snowmelt process, we need to better understand the relative importance of various meteorological parameters. Factor analysis and regression analysis were used to determine the effectiveness of wind, air temperature, vapor pressure, and net radiation in predicting snowmelt. Analyses of meteorological and snowmelt data collected at a site near Boise, Idaho, in May 1973 showed that the standard error of daily snowmelt prediction could be decreased 13% by using vapor pressure, net radiation, and wind in predictive equations rather than just air temperature.