Study of Climate Change Impact on Hydrological Systems using Downscaling Tools

被引:0
|
作者
Lu, Yan [1 ]
Qin, Xiaosheng [1 ,2 ]
Xie, Yajuan [1 ]
机构
[1] Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore 679798, Singapore
[2] Nanyang Technol Univ, EOS, Singapore 679798, Singapore
来源
PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS III AND IV | 2013年
关键词
Statistical downscaling; climate change; SWAT; CFSR; APHRODITE; PRECIPITATION; BASIN;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Climate change impact on hydrological systems has received wide attentions over the past decades. In this study, a coupled downscaling and hydrological modeling study was conducted. Statistical downscaling models are used for building the linkages between the atmosphere variables of general circulation model (i.e. CGCM3) and local weather records. The involved variables related to hydrologyinclude precipitation, temperature, radiation, wind speed and relative humidity. The output from downscaling wasused for coupling with the Soil and Water Assessment Tool (SWAT) to assess the hydrologic variability at the Heshui watershed, Jiangxi province, China. A highlight of this study wasthat the observed historical meteorological datacouldbe based on high resolution grid data, includingClimate Forecast System Reanalysis (CFSR) and APHRODITE's Water Resources. The monthly average stream flow and extreme record at historical and future periods wereexamined and compared. The results indicatedthat the downscaling tools could effectively help obtain high-resolution climate or climate change informationfrom relatively coarse-resolution climate models. This study alsoprovidedavaluableguideline for assessing water resourcesavailabilityunder climate change at the regionsthat containlimited meteorological data.
引用
收藏
页码:8998 / 9006
页数:9
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