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      氣候變化研究進(jìn)展 ?? 2012, Vol. 8 ?? Issue (2): 90-98.

      ? IPCC《管理極端事件和災害風(fēng)險,推進(jìn)氣候變化適應》特別報告專(zhuān)欄 ? 上一篇    下一篇

      極端天氣和氣候事件的變化

      羅亞麗   

      1. 中國氣象科學(xué)研究院
      • 收稿日期:2012-02-10 修回日期:2012-02-20 出版日期:2012-03-30 發(fā)布日期:2012-03-30
      • 通訊作者: 羅亞麗 E-mail:yali@cams.cma.gov.cn

      Changes in Weather and Climate Extremes

      Yali Luo   

      • Received:2012-02-10 Revised:2012-02-20 Online:2012-03-30 Published:2012-03-30
      • Contact: Yali Luo E-mail:yali@cams.cma.gov.cn

      摘要: 自1950年以來(lái)的觀(guān)測證據表明,有些極端天氣和氣候事件已經(jīng)發(fā)生了變化。全球尺度上,人為影響可能已經(jīng)導致極端日最低和最高溫度升高;由于平均海平面上升,人類(lèi)活動(dòng)可能已對沿海極端高水位事件的增加產(chǎn)生了影響;具有中等信度的是,人為影響已導致全球強降水增加;由于熱帶氣旋歷史記錄的不確定性、缺乏對熱帶氣旋與氣候變化之間關(guān)聯(lián)的物理機制的完整認識及熱帶氣旋自然變率的程度,將可檢測到的熱帶氣旋活動(dòng)變化歸因于人為影響僅具有低信度。將單一的極端事件變化歸因于人為氣候變化具有挑戰性。對極端事件變化預估的信度取決于事件的類(lèi)型、區域和季節、觀(guān)測資料的數量和質(zhì)量、基本物理過(guò)程的認知水平及模式對其模擬的可靠性。

      關(guān)鍵詞: 極端天氣和氣候事件, 氣候變化, 歸因, weather and climate extreme, climate change, attribution

      Abstract: There is evidence from observations gathered since 1950 of changes in some weather and climate extremes. It is likely that anthropogenic influences have led to increase of extreme daily minimum and maximum temperatures on the global scale. It is likely that there has been an anthropogenic influence on increasing extreme coastal high water due to increase in mean sea level. There is medium confidence that anthropogenic influences have contributed to intensification of extreme precipitation on the global scale. The uncertainties in the historical tropical cyclone records, the incomplete understanding of the physical mechanisms linking tropical cyclone metrics to climate change, and the degree of tropical cyclone variability provide only low confidence for the attribution of any detectable changes in tropical cyclone activity to anthropogenic influences. Attribution of single extreme events to anthropogenic climate change is challenging. Confidence in projecting changes in the direction and magnitude of weather and climate extremes depends on many factors, including the type of extreme, the region and season, the amount and quality of observational data, the level of understanding of the underlying processes, and the reliability of their simulation in models.

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