Abstract: In 2022, the Meteorological Joint Fund (MJF) supported three key research fields: the key technology of numerical prediction model, the theory and method of disaster weather monitoring and prediction, and the artificial intelligence meteorological application technology. Accordingly, the National Natural Science Foundation of China (NSFC) received 64 MJF applications comprising 87.5% cooperation applications with different unit attributes, and mail/panel reviews were conducted. Keyword analyses of the application revealed that MJF and the key programs in the “weather, climate, and associated sustainable development” field, Department of Earth Sciences (DES), had strong links and obvious differences. The review process of MJF is similar to the key conventional programs of DES, NSFC. NSFC funded 14 key supporting projects with a success rate of 21.9%, and the average annual funding intensity of the MJF exceeded that of DES, NSFC.