Relative importance of meteorological variables in snowmelt

Relative importance of meteorological variables in snowmelt 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Water Resources Research Wiley

Relative importance of meteorological variables in snowmelt

Water Resources Research, Volume 11 (1) – Feb 1, 1975

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Publisher
Wiley
Copyright
Copyright © 1975 by the American Geophysical Union.
ISSN
0043-1397
eISSN
1944-7973
DOI
10.1029/WR011i001p00174
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Water Resources ResearchWiley

Published: Feb 1, 1975

References

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