Research on the correction method of temperature grid forecast in Tonghua City
This study employs the sliding weight average correction method to correct the errors in grid forecast guidance products.The main conclusions are as follows:1)Overall,the temperature forecasts of grid forecast guidance products are lower than the observed temperatures,indicating the feasibility of correcting grid forecast guidance product temperatures.2)The results distribution indicates that a longer sliding correction period within the sliding weight average correction method has a better correction effect on temperature forecasts.In general,the sliding weight average correction method can effectively correct the prediction errors of both the minimum and maximum 2-meter temperatures.3)The overall error amplitude suggests that the quality of temperature forecasts is significantly improved after correction using the sliding weight average correction method.4)From the perspective of error dispersion,the sliding weight average correction method may not change the degree of dispersion of errors in the grid forecast guidance products,thus demonstrating certain limitations that require further research in the future.
万方数据
维普
