海洋预报2018，Vol.35Issue(2)：8-18,11.DOI:10.11737/j.issn.1003-0239.2018.02.002
一种基于BP神经网络方法的HY-2A散射计反演风场偏差订正方案
A deviation correction of HY-2A scatterometer inversed wind field based on BP neural network method
摘要
Abstract
Aiming at HY-2A scatter meter wind vector field data,using BP neural network method,with the introduction of NDBC buoy environmental elements,including SST and precipitation,we have made a bias correction in the HY-2A scatter meter wind field.Experiment results show that the BP neural network method has a good correction effect on HY-2A scattering wind speed and direction,which can effectively alleviated HY-2A wind speed overestimation,with the mean bias improving from 2.32 m/s to 0.25 m/s.At the same time by sensitivity test,we find the sensitivity of experiment result with the sample size and environmental factors.关键词
HY-2A散射计/偏差订正/BP神经网络Key words
HY-2A Scatterometer/bias correction/BP neural network分类
海洋科学引用本文复制引用
潘微,邢建勇,万莉颖..一种基于BP神经网络方法的HY-2A散射计反演风场偏差订正方案[J].海洋预报,2018,35(2):8-18,11.基金项目
国家重点研发计划(2016YFC1401704). （2016YFC1401704）
