The invention discloses an hour-by-hour
air temperature objective
correction method based on a high-resolution numerical mode, and the method comprises the steps: collecting monitoring
station data of a preset region, and carrying out the preprocessing of the monitoring
station data; performing temperature daily change rule and mode deviation characteristic analysis according to the monitoring
station data to obtain temperature daily change characteristics, constructing a multi-mode integration scheme based on dynamic weight, and averagely fusing the multi-mode integration scheme by adopting a Bayesian model to obtain an integration forecast; performing product detection evaluation on the integrated forecast according to the temperature daily change characteristics to obtain temperature evaluation, constructing an optimal similar set correction localization parameter according to the temperature evaluation and mode
physical quantity correlation analysis, and establishing an optimal similar set
correction method; sliding error regression correction is adopted for predicting and recorrecting the hour-by-hour temperature in the adjacent time period of the optimal similar set
correction method, hour-by-hour temperature objective correction data are obtained, and a correction result is output.