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contributor authorHunt, B. G.
date accessioned2017-06-09T17:02:29Z
date available2017-06-09T17:02:29Z
date copyright2006/10/01
date issued2006
identifier issn0894-8755
identifier otherams-78386.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4221049
description abstractThe Commonwealth Scientific and Industrial Research Organisation (CSIRO) Mark 2 global coupled climatic model has been used to generate a 10 000-yr simulation of ?present? climate. The resultant dataset has been used to investigate a number of aspects of extremes associated with annual mean rainfall. Multimillennial time series of normalized rainfall amounts for selected points are used to highlight secular variability, spatial variations, and the differences between pluvial and drought conditions. Global distributions are also presented for selected rainfall characteristics, including the frequency of occurrence of specified rainfall anomalies with annual durations, the frequency of occurrence of 5-yr sequences of specified rainfall anomalies, and the maximum and minimum normalized rainfall amounts attained in the simulation. Such features cannot be obtained from observations because of their limited duration. A case study is also made of a megadrought over the southwestern United States, together with an analysis of the associated causal mechanisms. Given the exclusion of all external forcing from the model, it is concluded that the extreme annual mean rainfall extremes presented in the paper are attributable to stochastic events.
publisherAmerican Meteorological Society
titleClimatological Extremes of Simulated Annual Mean Rainfall
typeJournal Paper
journal volume19
journal issue20
journal titleJournal of Climate
identifier doi10.1175/JCLI3921.1
journal fristpage5289
journal lastpage5304
treeJournal of Climate:;2006:;volume( 019 ):;issue: 020
contenttypeFulltext


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