气象科技进展2025，Vol.15Issue(6)：9-15,7.DOI:10.3969/j.issn.2095-1973.2025.06.002
基于LightGBM的海杂波识别技术
Sea Clutter Recognition Technology Based on LightGBM
摘要
Abstract
Sea clutter is a common non-precipitation echo in coastal areas that can adversely affect precipitation estimation.Using the LightGBM(Light Gradient Boosting Machine)algorithm and based on the S-band weather radar observation data from Wanning and Taizhou,three sea clutter identification models were developed for dual-polarization radar and Doppler radar:a model based on the combination of polarization parameters,a model based on a single polarization parameter,and a non-polarization model applicable to conventional Doppler radar.Testing results show that the three models achieved Critical Success Index(CSI)values of 0.9876,0.9660,and 0.7605,respectively.All models effectively identified extensive sea clutter in Wanning while preserving precipitation echoes.Similar performance was achieved when testing with radar data from Zhoushan and Fuzhou,which were not included in the training dataset,demonstrating the models'strong generalization capability.关键词
雷达数据/质量控制/海杂波/机器学习Key words
radar data/quality control/sea clutter/machine learning分类
天文与地球科学引用本文复制引用
陈卓,王红艳,常秉松,许东蓓,李祎潮..基于LightGBM的海杂波识别技术[J].气象科技进展,2025,15(6):9-15,7.基金项目
国家自然科学基金项目(U2142210) （U2142210）
中国气象科学研究院基本科研业务重点项目(2023Z002) （2023Z002）
