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      氣候變化研究進(jìn)展 ?? 2012, Vol. 8 ?? Issue (1): 8-15.

      ? 極端事件專欄 ? 上一篇    下一篇

      1960—2009年中國冬季區(qū)域性極端低溫事件的時空特征

      王曉娟1,龔志強(qiáng)2,任福民3,封國林4   

      1. 1. 常熟理工學(xué)院物理與電子工程學(xué)院
        2. 中國氣象局國家氣候中心開放實驗室
        3. 國家氣候中心
        4. 國家氣象中心 開放實驗室
      • 收稿日期:2011-06-20 修回日期:2011-09-06 出版日期:2012-01-30 發(fā)布日期:2012-01-30
      • 通訊作者: 龔志強(qiáng) E-mail:gzq0929@126.com
      • 基金資助:
        公益性行業(yè)專項;國家科技支撐計劃;國家自然科學(xué)基金

      Spatial/Temporal Characteristics of China Regional Extreme Low Temperature Events in Winter During 1960-2009

      • Received:2011-06-20 Revised:2011-09-06 Online:2012-01-30 Published:2012-01-30
      • Contact: Zhiqiang Gong E-mail:gzq0929@126.com

      摘要: 采用區(qū)域性極端低溫事件客觀識別技術(shù)對1960—2009年的區(qū)域性極端低溫事件進(jìn)行檢測,并分析其空間分布和時間演變特征。結(jié)果表明:區(qū)域性極端低溫事件指標(biāo)中最低溫度和幾何中心緯度的頻次分布為雙峰特征,發(fā)生頻次較高的緯度主要位于30°N和42°N附近,且1980年代中期以前南北兩個帶并存,之后則以30°N附近為主;1960—2009年事件的發(fā)生頻次、強(qiáng)度和最大覆蓋面積等呈總體減弱趨勢,在1980年代后期存在顯著的轉(zhuǎn)折,1990年代后期變化逐漸趨于平緩,并且這種變化主要是由占總數(shù)10%的持續(xù)時間長和空間范圍廣的事件作用的結(jié)果。此外,對體現(xiàn)事件多方面影響的綜合指標(biāo)進(jìn)行等級劃分并分析其變化特征。

      關(guān)鍵詞: 區(qū)域性極端低溫事件, 時空演變, 轉(zhuǎn)折, 頻次, 強(qiáng)度, regional extreme low temperature events, spatial/temporal variation, shift, frequency, intensity

      Abstract: An objective identification technique was used to detect regional extreme low temperature event (RELTE) during 1960-2009, and the spatial distribution and temporal variation of the events were investigated. Results indicate that the probability distribution of the minimum temperature and the latitude of the geometrical center of RELTEs both obey the bimodal distribution. The center of RELTEs was mainly located in two latitude belts of nearly 30°N and 42°N. Before the middle 1980s, the south and north belts coexisted but the north belt weakened obviously since then. Besides, the annual accumulative values of the frequency, intensity and maximum covering area of RELTEs decreased overall during 1960-2009 and there was an obvious phase shift at the end of 1980s and the variation became flat after 1990s. These characters might result from the RELTEs with long duration and wide space range which accounted for 10% of all events. Further more, the integration index that reflects the overall influences of RELTEs were further investigated.

      中圖分類號: 

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