基于人工神经网络泉州地区沿海大雾预报研究  

Study on coastal fog forecast in Quanzhou area based on artificial neural network

作　　者：崔寒 魏狄梵 林联发 Cui Han;Wei Difan;Lin Lianfa(Shishi Meteorological Bureau of Fujian,Quanzhou 362000;Huian Meteorological Bureau of Fujian,Quanzhou 362000)

机构地区：[1]福建省石狮市气象局,泉州362000 [2]福建省惠安县气象局,泉州362000

出　　处：《气象水文海洋仪器》2023年第3期95-97,101,共4页Meteorological,Hydrological and Marine Instruments

基　　金：泉州市气象局科技项目“基于人工神经网络的泉州地区海雾预报的研究”(202118)资助。

摘　　要：文章利用2017—2021年逐日地面资料对泉州市沿海2个地面站的大雾天气进行了统计分析,重点分析了大雾的南北差异和时间变化特征;提出了1个基于BP神经网络的海雾预报模型,并对模型的有效性和可用性进行检验。模型试验结果表明采用BP神经网络的海雾预测模型预测准确度较高。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.

关 键 词：沿海大雾 大雾预报 BP神经网络构 

分 类 号：P457.7[天文地球—大气科学及气象学]