contributor author | Yue-Ping Xu | |
contributor author | Xichao Gao | |
contributor author | Qian Zhu | |
contributor author | Yongqiang Zhang | |
contributor author | Lili Kang | |
date accessioned | 2017-05-08T22:06:11Z | |
date available | 2017-05-08T22:06:11Z | |
date copyright | April 2015 | |
date issued | 2015 | |
identifier other | 28129070.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/71393 | |
description abstract | Investigating the impact of climate change at regional scales is of importance for adaption purposes. In this study, a regional climate model PRECIS is for the first time run for East China on a spatial resolution of 25 km using two global climate models (GCMs) ECHAM5 and HadCM3 as boundary data under A1B emission scenario. The baseline period is 1961–1990. An upgraded quantile mapping method is used to correct the bias of PRECIS outputs for providing reliable future climate change projections (2011–2040). The regional climate model is then coupled with a mesoscale distributed hydrology soil vegetation model (DHSVM), to investigate the impact of climate change on future water resources in the Jinhua River Basin, East China. The hydrological model is calibrated and validated on a daily basis and show reasonable performance. The results show that under both GCMs, statistically, no significant changes in future annual runoff are projected. However, large changes in seasonal and monthly runoff are projected. ECHAM5 projects large decreases in summer ( | |
publisher | American Society of Civil Engineers | |
title | Coupling a Regional Climate Model and a Distributed Hydrological Model to Assess Future Water Resources in Jinhua River Basin, East China | |
type | Journal Paper | |
journal volume | 20 | |
journal issue | 4 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/(ASCE)HE.1943-5584.0001007 | |
tree | Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 004 | |
contenttype | Fulltext | |