A Forecasting Method for Seeding Conditions of Rain Enhancement
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Abstract:
The factors which are significantly correlated with the 1 hour and 3 h rainfall from the rainfall data of automatic precipitation stations over Anhui Province are selected from the satellite products or model products in the national directive products for weather artificial modification. With the Fisher norm method and the factors, the equations of 1 hour and 3 hour operation condition discrimination are established for all seasons and automatic precipitation stations to judge quantitatively whether there are favorable operation conditions for seeding. The equations are tested and verified with history data, and the results indicate that the forecast accuracy of 1 hour and 3 hour seeding conditions is 70% or so and over 50% respectively, which means that the equations have satisfactory accuracy and can be used to predict seeding conditions. But it has to be noted that the nohitting rate is relatively high in spring, summer and autumn.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.