contributor author | Masoomeh Fakhri | |
contributor author | Mohammad Reza Farzaneh | |
contributor author | Saeid Eslamian | |
contributor author | Mohammad Javad Khordadi | |
date accessioned | 2017-05-08T21:49:39Z | |
date available | 2017-05-08T21:49:39Z | |
date copyright | July 2013 | |
date issued | 2013 | |
identifier other | %28asce%29he%2E1943-5584%2E0000710.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/63591 | |
description abstract | Global 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 | |
publisher | American Society of Civil Engineers | |
title | Confidence Interval Assessment to Estimate Dry and Wet Spells under Climate Change in Shahrekord Station, Iran | |
type | Journal Paper | |
journal volume | 18 | |
journal issue | 7 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/(ASCE)HE.1943-5584.0000688 | |
tree | Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 007 | |
contenttype | Fulltext | |