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      氣候變化研究進(jìn)展 ?? 2010, Vol. 6 ?? Issue (04): 270-276.

      ? 氣候系統(tǒng)變化 ? 上一篇    下一篇

      基于IPCC A1B情景的中國(guó)未來(lái)氣候變化預(yù)估:多模式集合結(jié)果及其不確定性

      李博1,2,周天軍1   

      1. 1. 中國(guó)科學(xué)院大氣物理研究所2. 中國(guó)科學(xué)院研究生院
      • 收稿日期:2009-11-19 修回日期:2009-12-09 出版日期:2010-07-30 發(fā)布日期:2010-07-30
      • 通訊作者: 周天軍

      Projected Climate Change over China Under SRES A1B Scenario: Multi-model Ensemble and Uncertainties

      • Received:2009-11-19 Revised:2009-12-09 Online:2010-07-30 Published:2010-07-30

      摘要: 利用耦合模式比較計(jì)劃(CMIP3)提供的20世紀(jì)氣候模擬試驗(yàn)(20C3M)及A1B情景預(yù)估試驗(yàn),討論了全球增暖情景下21世紀(jì)中期中國(guó)氣候的可能變化。結(jié)果表明,A1B情景下,中國(guó)夏季降水變化在-0.1~1.1 mm/d,冬季降水變化在-0.2~0.2 mm/d。模式對(duì)降水變化的預(yù)估存在較大不確定性。無(wú)論冬夏,預(yù)估的全國(guó)表面氣溫都將升高,升溫幅度在1.2~2.8℃,隨緯度升高,增暖幅度相應(yīng)增大。模式對(duì)表面氣溫變化的預(yù)估能力強(qiáng)于對(duì)降水變化的預(yù)估能力。在A1B情景下,東亞夏季風(fēng)增強(qiáng),而冬季風(fēng)則略為減弱,東亞夏季風(fēng)雨帶到達(dá)最北后南撤的時(shí)間較之20C3M滯后約一個(gè)月。

      關(guān)鍵詞: 氣候變化預(yù)估, 多模式集合, 不確定性

      Abstract: Climate change over China in the middle 21st century is investigated based on the multi-model datasets of 20C3M and the SRES A1B scenario projection provided by CMIP3. The analysis shows that the precipitation will increase in most parts of China; the range of rainfall change is between -0.1 and 1.1 mm/d in summer, and between -0.2 and 0.2 mm/d in winter. Unfortunately, our analysis has revealed a large spread among the 23 models in future precipitation change projection. Uncertainties in the surface air temperature (TAS) change projection are far less than those in precipitation. The projected change range of TAS, in both summer and winter, is from 1.2 to 2.8℃, generally increasing with latitude. Projected change of East Asian monsoon under the SRES A1B scenario exhibits a strengthened trend in summer but a slightly weakened trend in winter; and the withdrawal of the East Asian summer monsoon rain-belt from its north-most position is about one month later than that in 20C3M.

      Key words: climate change projection, multi-model ensemble, uncertainty

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