Dynamical downscaling of climate change in Central Asia

被引:116
作者
Mannig, Birgit [1 ]
Mueller, Markus [1 ]
Starke, Eva [2 ]
Merkenschlager, Christian [1 ]
Mao, Weiyi [3 ]
Zhi, Xiefei [4 ]
Podzun, Ralf [5 ]
Jacob, Daniela [5 ]
Paeth, Heiko [1 ]
机构
[1] Univ Wurzburg, Inst Geog & Geol, Hubland, D-97074 Wurzburg, Germany
[2] Leibniz Univ Hannover, Inst Water Resources Management Hydrol & Agr Hydr, D-30167 Hannover, Germany
[3] Xinjiang Climate Ctr, Urumqi 830002, Xinjiang, Peoples R China
[4] Nanjing Univ, Nanjing 210093, Jiangsu, Peoples R China
[5] Max Planck Inst Meteorol, D-20146 Hamburg, Germany
关键词
climate change; regional climate modeling; Central Asia; REGIONAL CLIMATE; HIGH-RESOLUTION; ARAL SEA; MODEL; AREA; SENSITIVITY; PROJECTIONS; AFRICA; EUROPE;
D O I
10.1016/j.gloplacha.2013.05.008
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The high-resolution regional climate model (RCM) REMO has been implemented over the region of Central Asia, including western China. A model run forced by reanalysis data (1/2 degrees resolution), and two runs forced by a GCM (one run with 1/2 degrees and one run with 1/6 degrees resolution) have been realized. The model has been evaluated regarding its ability to simulate the mean climate of the period 1971-2000. It has been found that the spatial pattern of mean temperature and precipitation is simulated well by REMO. The REMO simulations are often closer to observational data than reanalysis data are, and show considerably higher spatial detail. The GCM-forced simulations extend to the year 2100 under the A1B scenario. The climate change signal of temperature is largest in winter in the northern part of the study area and over mountainous terrain. A warming up to 7 C is projected until the end of the 21st century. In summer, warming is strongest over the southern part of Central Asia. Changes in precipitation are spatially more heterogeneous. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:26 / 39
页数:14
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