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Using the four dimensional data assimilation method, the wind profile radar and wind tower data are applied to the WRF model, and the comparison of the prediction effects before and after data assimilation of the surface wind field shows that wind speed forecasting is improved obviously after using the wind profile radar and wind tower data model, and the wind direction prediction is also improved to a certain extent; after the data assimilation, the model prediction within 49 hours of the surface wind field is also improved obviously, but there is no obvious variation in the effectiveness of assimilation data in the surface wind field prediction before and after data assimilation with the increased model lead time after 49 hours. By analyzing the errors of the WRF model in wind speed prediction before and after data assimilation, it is shown that the contribution of profile radar data is much greater than that of wind tower data.