Method for Discriminating Cloud Precipitation by Mesoscale Model and CINRAD Radar
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Abstract:
A method for discriminating cloud precipitation based on a mesoscale model and CINRAD radar in Anhui Province is introduced. The mesoscale model MM5 products are used to extract the index of potential precipitation areas, and then the CINRAD products are used to analyze the precipitation factors relevant to the cloud clusters with the potential for precipitation. The results show that the composite potential index can denote the occurrence probability of convective systems containing abundant water, and therefore can be used to analyze the precipitation potential of convective systems. The precipitation grade index deduced from CINRAD data is in fact devised according to the water resource grades of convective clouds. As the result, the precision of cloud precipitation discrimination could be enhanced by combining these two kinds of parameters.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.