Abstract：Based on the daily surface data from 2017 to 2021,this paper makes a statistical analysis of the heavy fog weather at two ground stations along the coast of Quanzhou,focusing on the north-south difference and time variation characteristics of heavy fog.A sea fog forecasting model based on BP neural network is proposed,and the validity and availability of the model are tested.The model test results show that the fog prediction model using BP neural network has higher prediction accuracy.
崔寒, 魏狄梵, 林联发. 基于人工神经网络泉州地区沿海大雾预报研究[J]. 气象水文海洋仪器, 2023, 40(3): 95-97.
Cui Han, Wei Difan, Lin Lianfa. Study on coastal fog forecast in Quanzhou area based on artificial neural network. Meteorological Hydrological and Marine Instrument, 2023, 40(3): 95-97.
2023, Vol. 40 
