The invention belongs to the field of wind power climbing prediction, and relates to a wind power climbing prediction model switching method based on gale weather classification. The method includes the following steps of firstly, exacting characteristic quantities which can obviously represent the gale weather and characteristic indexes which can obviously represent the gale weather according to historical gale fluctuation weather in an assigned geographical range and forming a distinguishing expression; secondly, calculating a prediction range, the weighting coefficient of the characteristic quantities and the weighting coefficient of the characteristic indexes through the distinguishing criterion in the Fisher distinguishing method, obtaining a distinguishing result and conducting verification and analysis through a statistic test; finally, further obtaining a gale weather classification result through the distinguishing method, and forming a switching mechanism for different statistical prediction models according to the characteristics of the spatial and temporal scales of different types of gale weather. According to the method, the climbing weather distinguishing research is conducted on a result of numerical weather prediction, and the method provides the more accurate switching mechanism for different statistical prediction methods in the aspect of comprehensive prediction methods of wind power climbing.