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Climate, soil, and vegetation: 2. The distribution of annual precipitation derived from observed storm sequences

Climate, soil, and vegetation: 2. The distribution of annual precipitation derived from observed... Point precipitation is represented by Poisson arrivals of rectangular intensity pulses that have random depth and duration. By assuming the storm depths to be independent and identically gamma distributed, the cumulative distribution function for normalized annual precipitation is derived in terms of two parameters of the storm sequence, the mean number of storms per year and the order of the gamma distribution. In comparison with long‐term observations in a subhumid and an arid climate it is demonstrated that when working with only 5 years of storm observations this method tends to improve the estimate of the variance of the distribution of the normalized annual values over that obtained by conventional hydrologic methods which utilize only the observed annual totals. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Water Resources Research Wiley

Climate, soil, and vegetation: 2. The distribution of annual precipitation derived from observed storm sequences

Water Resources Research , Volume 14 (5) – Oct 1, 1978

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References (8)

Publisher
Wiley
Copyright
Copyright © 1978 by the American Geophysical Union.
ISSN
0043-1397
eISSN
1944-7973
DOI
10.1029/WR014i005p00713
Publisher site
See Article on Publisher Site

Abstract

Point precipitation is represented by Poisson arrivals of rectangular intensity pulses that have random depth and duration. By assuming the storm depths to be independent and identically gamma distributed, the cumulative distribution function for normalized annual precipitation is derived in terms of two parameters of the storm sequence, the mean number of storms per year and the order of the gamma distribution. In comparison with long‐term observations in a subhumid and an arid climate it is demonstrated that when working with only 5 years of storm observations this method tends to improve the estimate of the variance of the distribution of the normalized annual values over that obtained by conventional hydrologic methods which utilize only the observed annual totals.

Journal

Water Resources ResearchWiley

Published: Oct 1, 1978

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