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contributor authorMasoomeh Fakhri
contributor authorMohammad Reza Farzaneh
contributor authorSaeid Eslamian
contributor authorMohammad Javad Khordadi
date accessioned2017-05-08T21:49:39Z
date available2017-05-08T21:49:39Z
date copyrightJuly 2013
date issued2013
identifier other%28asce%29he%2E1943-5584%2E0000710.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63591
description abstractGlobal warming and its resulting climate change will affect different elements, such as water resources, in the future. One effect is that rainfall becomes very difficult to predict, as it is under the influence of several different elements. In this study, which considers Shahrekord synoptic station in Iran, various sources of uncertainty in rainfall prediction in the future and its effect on dry and wet spells are investigated. In the present research, CCSIRO, CGCM, ECHO-G, HADCM3, ECHAM, and PCM Atmospheric and Ocean General Circulation Model (AOGCM) models and
publisherAmerican Society of Civil Engineers
titleConfidence Interval Assessment to Estimate Dry and Wet Spells under Climate Change in Shahrekord Station, Iran
typeJournal Paper
journal volume18
journal issue7
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)HE.1943-5584.0000688
treeJournal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 007
contenttypeFulltext


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