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Numerical simulation of severe local storms over east India using WRF-NMM mesoscale model

机译:WRF-NMM中尺度模型对印度东部严重局部风暴的数值模拟

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A common feature of the weather during the pre-monsoon season (March-May) over the east and northeast India is the outburst of severe local storms which have significant socio-economic impact due to loss of lives and properties. Forecasting thunderstorms is one of the most difficult tasks in weather prediction, due to their rather small spatial and temporal scales and the inherent non-linearity of their dynamics and physics. In the present study, an attempt has been made to simulate severe local storms that occurred over east India during STORM field experiments 2007, 2009 and 2010, using Non-hydrostatic Mesoscale Model (NMM) and validate the model results with observation. This study shows that the NMM model holds better promise for prediction of thunderstorm with reasonable accuracy. The intensity of rainfall rates is in good agreement with the observation. The model has well captured the stability indices, which act as indicators of severe convective activity. The surface temperature and relative humidity over Kolkata are reasonably well simulated by the NMM model even though one hour time lag or lead exists. The model simulated well the updraft and downdraft over Kolkata, which is an important phenomenon related to thunderstorm life cycle. From the model simulated spatial plots of composite radar reflectivity and cloud top temperature, we can see that the model has also been able to capture the movement of thunder squall. The results of these analyses determined that the 3 km WRF-NMM model has good skill when it comes to the thunderstorm simulation.
机译:印度东部和东北部季风前季节(3月至5月)期间天气的一个共同特征是爆发了严重的局部风暴,由于生命和财产损失,这些风暴对社会经济产生了重大影响。由于雷暴的时空规模很小,而且其动力学和物理性质固有的非线性,因此,预报雷暴是天气预报中最困难的任务之一。在本研究中,已尝试使用非静水中尺度模型(NMM)模拟STORM 2007、2009和2010年STORM野外试验期间印度东部发生的严重局部风暴,并通过观察验证模型结果。这项研究表明,NMM模型对于以合理的准确性进行雷暴预报具有更好的前景。降雨强度与观测值高度吻合。该模型已很好地捕获了稳定性指标,这些指标可作为严重对流活动的指标。 NMM模型可以很好地模拟加尔各答的表面温度和相对湿度,即使存在一个小时的时间滞后或提前。该模型很好地模拟了加尔各答上空的上下气流,这是与雷暴生命周期有关的重要现象。从模拟的复合雷达反射率和云顶温度的空间图可以看出,该模型还能够捕获雷暴的运动。这些分析的结果确定了3 km WRF-NMM模型在雷暴模拟方面具有良好的技巧。

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