沙漠与绿洲气象2025，Vol.19Issue(4)：60-67,8.DOI:10.12057/j.issn.1002-0799.2404.08001
人工智能方法在气象领域的应用综述
A Review of the Application of Artificial Intelligence Methods in Meteorology
摘要
Abstract
Artificial intelligence(AI)has become an indispensable tool in meteorological forecasting,demonstrating its ability to analyze the complex dynamics of weather systems.This article explores the application of AI in meteorological prediction,highlighting both its current achievements and challenges that remain.Firstly,traditional machine learning algorithms,such as random forests,XGBoost,and support vector machines,are discussed.Although these algorithms perform better than conventional methods in certain aspects,they still exhibit inherent limitations.Secondly,deep learning models,with their advanced feature extraction and pattern recognition capabilities,have shown remarkable success in analyzing and predicting meteorological variables.Notably,neural networks,convolutional neural networks(CNNs),and recurrent neural networks(RNNs)have been particularly effective in meteorological applications.Furthermore,the article emphasizes the considerable potential of large-scale models such as Pangu,FuXi,and GraphCAST,which have the ability to enhance the accuracy of weather predictions.The study also identifies key areas for future research,focusing on the optimization of models,enhancement of algorithms,improvement of data quality and diversity,and interdisciplinary collaboration.关键词
人工智能/气象预测/神经网络/气象大模型Key words
artificial intelligence/weather forecasting/neural networks/meteorological large models分类
天文与地球科学引用本文复制引用
孙彩霞,张同文,胡家晖,郭冬,刘精..人工智能方法在气象领域的应用综述[J].沙漠与绿洲气象,2025,19(4):60-67,8.基金项目
基于人工智能方法的新疆次季节网格预测平台(QHCX-2023-06) （QHCX-2023-06）
基于深度学习的新疆月尺度气温预测(YD202205) （YD202205）
西昆仑山主要针叶树种对极端气候变化的响应(Sqj202205) （Sqj202205）
