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Recently, manual observations sequence has been gradually replaced by automatic observation sequence. The difference between manual observation sequence and automatic observation sequence is somewhat inevitable. This challenges the homogeneity and the continuity of historical weather data, and influences atmospheric researches and applications. Therefore, based on the understanding of the influence caused by the two observation sequences, how to modify the data of manual observation sequence to automatic observation sequence has become a problem. In this paper, a model, which modifies the wind speed data of manual observation suquence to automatic observation sequence, is established using the wavelet neural network (WNN). The proposed model achieves 13.38% in mean absolute percentage error (MAPE) compared to automatic observation data sequence. For wind speed, it could be a promising candidate for modifying manual observation data sequence to automatic observation data sequence

Modifying Wind Speed Data Observed from Manual Observation System to Automatic Observation System Using Wavelet Neural Network