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

机译:WRF和MM5中中国东南部降雨过程的模拟

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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:为了了解两个最先进的Mescle模型的相对优势:WRF(天气研究和预测模型)和Penn状态/ ncar mm5,构建了一种嵌套域以模拟陆海风剪的沉淀过程在中国东南两种型号。结果表明,WRF和MM5均迅速捕获局部循环和大雨面积,但相对于观察结果升高了降水量。 WRF模型优于沉淀强度的MM5,但在最大降雨的位置差。与观察结果相比,MM5和WRF两者的模拟大于观察,但是WRF的模拟比MM5更接近观察。除了通过MM5模拟风场的分布趋势优于WRF,WRF模拟2-M温度和降水的分布趋势比观察更接近MM5,但是通过WRF和观察存在模拟之间存在相位差,用于滞后相的沉淀,并以前方的阶段进行温度

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