摘要
为了解决高频地波雷达探测海流数据难以分析与评估的问题,提出了基于数据同化的地波雷达数据质量分析与评价的方法.该方法利用逐步订正法(SCM)技术将雷达探测的流场资料同化到POM(princeton oceanic model)模型中,再根据同化后数据与雷达数据的均方根误差(RMSD)分布统计特征,实现对地波雷达海流数据质量的分析与评价.相比于传统出海获取海流数据的定点比测方法,该方法能快速分析雷达数据质量,降低雷达性能评估的成本.
An effective method is proposed in utilizing data assimilation results to overcome the difficulties in analyzing and estimating current data observed by high frequency ground wave radar.The method adopts successive-correction method（SCM）to assimilate the radar current data to princeton oceanic model（POM）,then analyzes and estimates the quality of radar data through the statistics of root-mean square deviation distribution.Compared with the traditional fixed-point test method,the new method can quickly analyze the quality of radar data and reduce the time and cost of radar performance assessment.
出处
《武汉大学学报（理学版）》
CAS
CSCD
北大核心
2017年第3期213-218,共6页
Journal of Wuhan University:Natural Science Edition
基金
国家自然科学基金项目(41506201
41376182)
海洋公益性行业科研专项(201205032)
湖北省科技支撑计划(2014BEC057)项目资助
关键词
高频地波雷达
数据同化
POM模型
SCM
雷达数据质量
high frequency ground wave radar
data assimilation
princeton oceanic model
successive-correction method
the quality of radar data
