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contributor authorJohnson, Gregory L.
contributor authorHanson, Clayton L.
contributor authorHardegree, Stuart P.
contributor authorBallard, Edward B.
date accessioned2017-06-09T14:06:04Z
date available2017-06-09T14:06:04Z
date copyright1996/10/01
date issued1996
identifier issn0894-8763
identifier otherams-12410.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4147747
description abstractTwo stochastic weather simulation models (USCLIMATE and CLIGEN) were compared for their performance in replicating observed precipitation, temperature, and solar radiation variables at six locations in the United States. Statistical tests of significance were performed on means and standard deviations of a variety of standard and derived daily weather variables over monthly and annual time periods. Model replication of extreme events also was evaluated. In general, mean monthly and annual values were well replicated by both models, but variance replication of temperature and solar radiation were found superior in USCLIMATE. Extreme-value replication, especially over short (24-h) time intervals, was highly a function of climatic element, location, and time of year but, in general, was judged only fair in both models. Suggestions for model improvement and enhancement are given, as are suggestions for model applications.
publisherAmerican Meteorological Society
titleStochastic Weather Simulation: Overview and Analysis of Two Commonly Used Models
typeJournal Paper
journal volume35
journal issue10
journal titleJournal of Applied Meteorology
identifier doi10.1175/1520-0450(1996)035<1878:SWSOAA>2.0.CO;2
journal fristpage1878
journal lastpage1896
treeJournal of Applied Meteorology:;1996:;volume( 035 ):;issue: 010
contenttypeFulltext


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