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dc.contributor.authorPavia, Edgar G.
dc.contributor.authorO'Brien, James J.
dc.date.accessioned2017-06-09T14:01:22Z
dc.date.available2017-06-09T14:01:22Z
dc.date.copyright1986/10/01
dc.date.issued1986
dc.identifier.issn0733-3021
dc.identifier.otherams-11056.pdf
dc.identifier.urihttp://onlinelibrary.yabesh.ir/handle/yetl/4146242
dc.description.abstractThe probability distribution of wind speed data over the world's oceans is studied using a two-parameter Weibull distribution. The parameters are estimated following a linearized least-squares approach. The seasonal and latitudinal variation are described. A bootstrap statistical stability criterion is developed to select the appropriate method to estimate the Weibull parameters A and C. The method with the most stable estimate of parameters gives acceptable goodness-of-fit values. The Kolmogorov?Smirnov test also shows that the distribution adequately fits the data. The seasonal and latitudinal variations are presented using Hovmöller diagrams of the Weibull parameters. In general, these diagrams showed a seasonal change in fair agreement with other independent estimates of wind speed statistics. The results are more reliable in the Northern Hemisphere because more adequate data are available. The uneven geographical distribution and the scarcity of data at high latitudes and the Southern Hemisphere do not permit precise determination of Weibull statistics and remain unsolved problems.
dc.publisherAmerican Meteorological Society
dc.titleWeibull Statistics of Wind Speed over the Ocean
dc.typeJournal Paper
dc.journal.volume25
dc.journal.issue10
dc.journal.titleJournal of Climate and Applied Meteorology
dc.identifier.doi10.1175/1520-0450(1986)025<1324:WSOWSO>2.0.CO;2
dc.journal.fristpage1324
dc.journal.lastpage1332
dc.treeJournal of Climate and Applied Meteorology:;1986:;Volume( 025 ):;Issue: 010
dc.contenttypeFulltext


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