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      氣候變化研究進(jìn)展 ?? 2012, Vol. 8 ?? Issue (4): 250-256.

      ? 氣候系統(tǒng)變化 ? 上一篇    下一篇

      8個(gè)CMIP5模式對(duì)中國(guó)極端氣溫的模擬和預(yù)估

      姚遙1,羅勇2,3,黃建斌3   

      1. 1 南京信息工程大學(xué)/氣象災(zāi)害省部共建教育部重點(diǎn)實(shí)驗(yàn)室;
        2 中國(guó)氣象局國(guó)家氣候中心;
        3 清華大學(xué)地球系統(tǒng)數(shù)值模擬教育部重點(diǎn)實(shí)驗(yàn)室/清華大學(xué)地球系統(tǒng)科學(xué)研究中心
      • 收稿日期:2011-11-28 修回日期:2012-02-05 出版日期:2012-07-30 發(fā)布日期:2012-07-30
      • 通訊作者: 姚遙 E-mail:yaoraistlin@gmail.com
      • 基金資助:

        國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃

      Evaluation and Projection of Temperature Extremes over China Based on 8 Modeling Data from CMIP5

      • Received:2011-11-28 Revised:2012-02-05 Online:2012-07-30 Published:2012-07-30

      摘要: 利用8個(gè)耦合模式比較計(jì)劃第五階段(CMIP5)模式結(jié)果,采用加權(quán)平均方法進(jìn)行多模式集合,并與NCEP再分析資料進(jìn)行對(duì)比分析,評(píng)估了CMIP5模式對(duì)中國(guó)極端氣溫的模擬效果,在此基礎(chǔ)上,對(duì)未來(lái)極端氣溫進(jìn)行預(yù)估。CMIP5模式對(duì)中國(guó)8個(gè)極端氣溫指數(shù)和20年一遇最高(低)氣溫有模擬能力,所有極端氣溫指數(shù)模擬和觀測(cè)結(jié)果的時(shí)間相關(guān)均達(dá)到0.10顯著性水平,20年一遇最高、最低氣溫模擬和觀測(cè)結(jié)果空間相關(guān)系數(shù)均超過(guò)0.98。在中等排放RCP4.5情景下,未來(lái)中國(guó)極暖(冷)日數(shù)增多(減少),到21世紀(jì)中期熱浪指數(shù)增加2.6倍,到21世紀(jì)末期寒潮指數(shù)減少71%,20年一遇最高(低)氣溫在中國(guó)地區(qū)均呈現(xiàn)升高趨勢(shì),局部升溫幅度達(dá)到4℃。

      關(guān)鍵詞: CMIP5, 極端氣溫, RCP4.5情景, 重現(xiàn)期, 預(yù)估

      Abstract: Evaluation and projection of temperature extremes over China are carried out with 8 model data from CMIP5. Compared with the NCEP reanalysis data, multi-model weighted ensemble has a capacity of reproducing the 8 temperature extreme indices and 20-year return values of annual maximum/minimum temperature. The time correlation coefficients of all the 8 indices between multi-model ensemble and the reanalysis can reach 0.10 significance level and the spatial correlation coefficients of 20-year return values of annual maximum/minimum temperature are greater than 0.98. Under the RCP4.5 scenario, more extreme warm and less cold events are expected over China in multi-model ensemble. By the middle of the 21st century, the heat wave duration index will be multiplied 2.6 times. At the end of the 21st century, the cold wave duration index will decrease 71%, and the 20-year return values will increase 4℃ in parts of China for the maximum/minimum temperature.

      Key words: CMIP5, temperature extremes, RCP4.5 scenario, return period, projection

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