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References (5)
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Haupt Haupt (1969)
A 2‐year evaluation of the snowmelt lysimeterProc. West. Snow Conf., 37
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Zimmerman Zimmerman (1972)
Air temperature observations and forecasts‐Their relationship to the prediction of spring snowmelt in the Eagle River Basin, ColoradoProc. West. Snow Conf., 40
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Cox Cox (1974)
A new device for evaluating the energy exchange processes that contribute to the ablation of a snowpack (abstract)Eos Trans. AGU, 55
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Paul Bennewitz (1973)
The Brady Array - A New Bulk-Effect Humidity Sensor -
Cox Cox, Hamon Hamon (1968)
A universal surface precipitation gageProc. West. Snow Conf., 36
- 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 Research – Wiley
Published: Feb 1, 1975