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Simulations of a rainfall process in Southeastern China with WRF and MM5

机译:用WRF和MM5模拟中国东南地区的一次降雨过程。

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In an attempt to understand the relative strengths of two state-of-art mesoscale models: WRF (Weather Research and Forecasting Model) and Penn State/NCAR MM5, a nested domain was constructed to simulate a precipitation process induced by land-sea wind shear in Southeastern China with the two models. The results indicate that both WRF and MM5 capture the local circulation and the heavy rainfall area well, but precipitation amounts are overestimated relative to observations. The WRF model is better than the MM5 in precipitation strength, but worse in the location of maximum rainfall. In comparison with the observations, the simulation by both MM5 and WRF is larger than observation, but the simulation of WRF is closer to observation than MM5. Except that the distribution tendency of simulated wind field by MM5 is better than by WRF, the distribution trend of 2-m temperature and precipitation simulated by WRF is closer to observation than by MM5, but there exists phase difference between simulation by WRF and observation, for precipitation with lagged phase, and for temperature with phase ahead
机译:为了理解两种最新的中尺度模型(WRF(天气研究和预报模型)和Penn State / NCAR MM5)的相对强度,构建了一个嵌套域来模拟陆海风切变引起的降水过程。在中国东南部有两种型号。结果表明,WRF和MM5都很好地捕获了当地的环流和强降雨区,但相对于观测而言,降水量被高估了。 WRF模型的降水强度优于MM5,但在最大降水量的位置较差。与观测值相比,MM5和WRF的模拟都比观测值大,但是WRF的模拟比MM5更接近观测。除了MM5的模拟风场的分布趋势比WRF的要好外,WRF模拟的2-m温度和降水的分布趋势比MM5更接近于观测,但是WRF与观测的模拟之间存在相位差,用于具有滞后相的沉淀,以及用于具有提前相的温度

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