不同站網對極端降水事件變化監測的影響
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Effect of Station Density Changes on Variability Monitoring of Extreme Precipitation Events in Mainland China
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    摘要:

    利用1961—2011年51年的日降水資料,以2400多站組成的國家級站網為基準,通過分析不同站網對中雨日數、大雨日數、強降水量和極強降水量4種極端降水指數監測差異,對中國不同地面觀測站網對中國極端降水事件的代表性進行了評估。研究發現,各站網對極端降水事件變化的時間和空間分布監測精度由高到低依次為:基本基準站網,基本站網,基準站網,GCOS站網。GCOS站網和基準站網對各降水指數的空間分布的影響與標準站網相差較大?;净鶞收揪W和基本站網對各極端降水指數變化方向及變化速率的空間分布與標準站網非常一致,但在西南地區北部、東北中東部地區、長江中游北側局部地區的觀測精度仍然不理想。

    Abstract:

    Based on the daily precipitation data from 196 to 2011 in China, a comparative analysis is made of the changes of the numbers of moderate rain days and heavy rain days, strong precipitation, and extreme precipitation under different station networks to assess the representativeness of different station networks for extreme precipitation events. The results show that the monitoring precision in time and spatial distribution of the station networks for extreme precipitation events changes are in the following order: the basic & reference station network, basic networks, reference station network, and GCOS station network. The influences of spatial distributions of the GCOS station network and the reference station network on the precipitation index differ from the standard station network greatly. The space distributions of various indexes under the basic & reference and basic station networks are the closest to that of the standard station network, but the monitoring precisions in the northern Southwest China, the eastern and central Northeast China, and some areas of the northern Yangtze River are still unsatisfactory.

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胡曉明,王國復,黃菲.不同站網對極端降水事件變化監測的影響[J].氣象科技,2014,42(3):382~390

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  • 收稿日期:2013-05-21
  • 定稿日期:2013-09-08
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  • 在線發布日期: 2014-06-30
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