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contributor authorZhang, Xuebin
contributor authorWang, Jiafeng
contributor authorZwiers, Francis W.
contributor authorGroisman, Pavel Ya
date accessioned2017-06-09T16:34:57Z
date available2017-06-09T16:34:57Z
date copyright2010/06/01
date issued2010
identifier issn0894-8755
identifier otherams-70408.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212186
description abstractThe generalized extreme value (GEV) distribution is fitted to winter season daily maximum precipitation over North America, with indices representing El Niño?Southern Oscillation (ENSO), the Pacific decadal oscillation (PDO), and the North Atlantic Oscillation (NAO) as predictors. It was found that ENSO and PDO have spatially consistent and statistically significant influences on extreme precipitation, while the influence of NAO is regional and is not field significant. The spatial pattern of extreme precipitation response to large-scale climate variability is similar to that of total precipitation but somewhat weaker in terms of statistical significance. An El Niño condition or high phase of PDO corresponds to a substantially increased likelihood of extreme precipitation over a vast region of southern North America but a decreased likelihood of extreme precipitation in the north, especially in the Great Plains and Canadian prairies and the Great Lakes/Ohio River valley.
publisherAmerican Meteorological Society
titleThe Influence of Large-Scale Climate Variability on Winter Maximum Daily Precipitation over North America
typeJournal Paper
journal volume23
journal issue11
journal titleJournal of Climate
identifier doi10.1175/2010JCLI3249.1
journal fristpage2902
journal lastpage2915
treeJournal of Climate:;2010:;volume( 023 ):;issue: 011
contenttypeFulltext


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