气候变化研究进展 ›› 2009, Vol. 5 ›› Issue (04): 220-225.

• 研究论文 • 上一篇    下一篇

基于ECHAM5模式预估2050年前中国旱涝格局趋势

翟建青1,曾小凡2,苏布达3,姜彤3   

  1. 1. 中国科学院南京地理与湖泊研究所2. 中国科学院 南京地理与湖泊研究所3. 中国气象局国家气候中心
  • 收稿日期:2008-12-01 修回日期:2009-01-12 出版日期:2009-07-30 发布日期:2009-07-30
  • 通讯作者: 翟建青

Patterns of Dryness/Wetness in China Before 2050 Projected by the ECHAM5 Model

Xiaofan Zeng1,Su Buda2   

  1. 1. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences2. National Climate Center
  • Received:2008-12-01 Revised:2009-01-12 Online:2009-07-30 Published:2009-07-30

摘要: 利用ECHAM5/MPI-OM气候模式输出的2001-2050年逐月降水量资料,考虑IPCC采用的3种排放情景(A2:温室气体高排放情景;A1B:温室气体中排放情景;B1:温室气体低排放情景),计算其标准化降水指数,分析了中国2050年前3种排放情景下的旱涝格局。结果表明:3种情景下旱涝趋势空间分布不同,其中A2情景下旱涝格局同1961-2000年观测到的旱涝格局相似,均存在一条由东北向西南的干旱带;而A1B和B1情景下旱涝格局则发生了很大的变化,尤其B1情景下出现了"北涝南旱"的格局。未来50 a干旱面积在A2情景下呈略增加趋势;A1B和B1情景下为减少趋势。3种情景下干旱频率的空间分布也各不相同。

关键词: 旱涝格局, 标准化降水指数(SPI), ECHAM5/MPI-OM气候模式, 排放情景

Abstract: This study investigated future spatial distribution of dryness/wetness in China during the first 50 years of 21st century according to standardized precipitation index (SPI) which was calculated from the monthly precipitation data projected by the ECHAM5/MPI-OM climate model under the SRES-A2 (high emission), SRES-A1B (mediate emission) and SRES-B1 (low emission) scenarios of anthropogenic greenhouse gas emissions. The results show that the projected dryness/wetness pattern in the future 50 years under the SRES-A2 scenario is similar to the observed one in 1961-2000, i.e. there is a SW-NE oriented drought belt from Southwest China to Northeast China; but the projected patterns under the SRES-A1B and SRES-B1 scenarios are different, especially under the SRES-B1 scenario, a north-wetness-south-dryness pattern was projected. The area of drought was projected to weakly increase under the SRES-A2 scenario but to decline under the SRES-A1B and SRES-B1 scenarios. Spatial distributions of the frequency of droughts were also projected to be different from each other.

Key words: dryness/wetness pattern, standardized precipitation index (SPI), ECHAM5/MPI-OM climate model, emission scenario, China

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