The invention discloses a hierarchical data processing method for a large-scale real-time rainfall automatic observation station based on dynamic interpolation. The hierarchical data processing methodcomprises the following steps: step 1, receiving and processing reported data of national automatic observation stations in real time; step 2, judging an abnormal value; Step 3, equal time period processing; Step 4, screening and eliminating error values; And 5, performing interpolation calculation on the basin surface rainfall. According to the hierarchical data processing method for the large-scale real-time rainfall automatic observation station based on dynamic interpolation provided by the invention, after abnormal points are found, the abnormal points are interpolated by adopting a 'static weight + dynamic interpolation' method, so that the interpolation efficiency and effect are improved, and the accuracy of rainfall data is improved.