基于云分析的數值模擬在復雜地形中的應用試驗
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國家自然科學基金項目(40875022,41175064)、財政部/科技部公益性行業(氣象)科研專項(GYHY200806007,GYHY201006014)資助


Application of Numerical Simulation in Complex Terrain Based on Cloud Analysis
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    摘要:

    利用區域中尺度模式ARPS(Advanced Regional Prediction System)模擬了華北西部復雜地形條件下發生在2010年9月18—22日的降水過程,并針對云分析方法對降水和溫度預報的影響開展了敏感性試驗。結果表明:①模式在復雜地形下有很好的適用性。24 h和48 h模擬結果,降水的起止時間、落區以及強降水中心的位置均和實況一致。24 h模擬降水的量級和實況接近,48 h的比實況偏大;②模式能準確模擬溫度的變化,插值得到的5天內6個臺站溫度預報的平均絕對誤差只有2.69 ℃;③云分析能顯著提高模式初值的質量,特別是其中水物質的含量,從而可顯著改善48 h強降水中心降水量偏大的狀況,使模擬的降水場更接近于實況。但云分析對溫度模擬結果的影響不明顯。

    Abstract:

    The Advanced Regional Prediction System model is used to simulate a precipitation case occurred from 18 to 22 September 2010 in the western North China complex topography. A set of sensitivity tests is also conducted to study the impact of cloud analysis on precipitation and temperature prediction. The results show: (1) The ARPS model for complex terrain has a very good adaptability. The comparison of ARPS prediction with local observation shows that ARPS performs very well both in start/stop time and spatial distribution of precipitation in two forecast process (24 h and 48 h); the precipitation of 24 h forecast corresponds with local observations,and the 48 h forecast tends to be bigger than local observations. (2) The ARPS model can also simulate temperature changes accurately, and the average absolute temperature error of interpolated 5 day forecast for six stations is only 2.69 ℃.(3) Cloud analysis can significantly improve the model initial field, especially the water substance, so that the bigger rainfall forecast at the strong precipitation center improved obviously, which indicates that the cloud analysis contributes to the success of precipitation forecasts, but the impact on temperature forecast is inconspicuous.

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引用本文

梁升,王東海,李國平,劉英,馮濤,李馗峰,張偉民.基于云分析的數值模擬在復雜地形中的應用試驗[J].氣象科技,2012,40(6):960~968

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  • 收稿日期:2011-06-22
  • 定稿日期:2011-11-24
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  • 在線發布日期: 2012-12-11
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