海面风场数据时空融合方法研究  

The Spatial-Temporal Fusion of SCAT/HY-2A and ASCAT/MetOp-A Wind Data

作　　者：魏士俨[1] 杨燕明[1] 许德伟[1] Wei Shi-yan;Yang Yan-ming;Xu De-wei(Third Institute of Oceanography, SOA, XiamenFujian 361005, China)

机构地区：[1]国家海洋局第三海洋研究所,福建厦门361005

出　　处：《计算机仿真》2017年第11期25-28,共4页Computer Simulation

基　　金：海洋环境安全保障专项(2016YFC1401008);海洋公益项目HY-2A环境探测数据应用服务技术系统与示范(2013418032-1);福建省自然科学基金青年项目(2017J05064)

摘　　要：为满足HY-2A卫星全球海面风场业务化的需求,解决单星数据覆盖范围不足的问题,提出利用时空Kriging算法实现多源星载微波散射计海面风场融合的方法。从散射计海面风场数据的特征和规律出发,将空间Kriging插值算法拓展到时空域,构建了新的时空变异函数,实现了多源散射计海面风场数据的时空融合。以中国东部的部分海域作为研究区,选取了SCAT/HY-2A和ASCAT/Met Op-A海面风场数据进行实验,并采用NCEP风场数据进行对比验证。结果表明,时空Kriging海面风场融合算法能够获得时空连续的海面风场信息,精度优于基于空间Kriging插值的算法。In order to meet the needs of HY-2A globe sea wind operation and improve coverage of single satellite data. The spatial-temporal Kriging was proposed to implement scatterometer sea wind data fusion. According to the feature and rules of scatterometer sea wind, the Kriging was developed in spatial-temporal domain. The spatial-tem- poral semivariogram was built to fuse the data of sea wind. The study area was in east sea of China. The data of SCAT/HY-2A and ASCAT/MetOp-A were collected for the experiments. And the fusion sea wind was compared with the NCEP data. The result showed that the spatial-temporal continues sea wind was obtained by using the algo- rithm proposed in the paper and its accuracy is better than that of spatial Kriging.

关 键 词：时空克里金 海面风场融合 微波散射计 

分 类 号：P733[天文地球—物理海洋学]