Abstract
Icing prediction and early warning depend on icing prediction model and weather element forecast. In order to improve the accuracy of weather forecast, we test and analyze the forecast improvement of the temperature, wind speed and precipitation using numerical model and data fusion and assimilation of satellite-ground data. Through comparative analysis, data fusion and assimilation can significantly improve the forecast level of temperature and precipitation. The accuracy of 72-hour forecast does not decrease significantly compared with that of 24-hour forecast. Therefore, data fusion and assimilation using satellite-ground data has a better guiding significance for the prediction and early warning of 24-72 hour ice cover.
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