Based on BP algorithm and the nonstationary characteristics of tidal field data under unusual weather,this paper presents three artificial neural network models: Difference artificial neural networks model for supplement forecasting;Minus-mean artificial neural networks model for corresponding forecasting between different tidal gauge stations;Weather database artificial neural networks model for setup and setdown.The numerical results show that these models perform well for tidal field data supplemental forecasting.