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基于交叉极化数据的海面风速反演研究

许遐祯 韩冰 黄敬峰 李正泉 龚强 王秀珍

气象科学2017,Vol.37Issue(5):629-638,10.
气象科学2017,Vol.37Issue(5):629-638,10.DOI:10.3969/2016jms.0057

基于交叉极化数据的海面风速反演研究

Wind speed retrieval of sea surface based on cross-polarization data

许遐祯 1韩冰 2黄敬峰 2李正泉 3龚强 4王秀珍5

作者信息

  • 1. 江苏省气候中心,南京210009
  • 2. 浙江大学农业遥感与信息技术应用研究所,杭州310058
  • 3. 浙江省气候中心,杭州310017
  • 4. 辽宁省气候中心,沈阳110001
  • 5. 杭州师范大学遥感与地球科学研究院,杭州311121
  • 折叠

摘要

Abstract

Full polarization data can get more target information than single polarization data.Research shows that C-band cross-polarization radar data can also be used to retrieve sea surface wind speed.For that RADARSAT-2 Fine Quad mode radar data can obtain full polarization SAR data,the optimal wind speed retrieval models with various polarization data have been discussed by combining with retrieval models of co-polarization and cross-polarization data in the eastern sea area of China.For the copolarization SAR data,sea surface wind speed was retrieved by Geophysical Model Function (GMF) and Polarization Rate (PR) models while for cross-polarization SAR data,it was by C-2PO model,whose retrieved results were compared with ERA-Interim data.Furthermore,the relationship between the NRCS of ScanSAR mode cross-polarization SAR data and sea surface wind speed was also analyzed,whose result shows that the RADRASAT-2 Fine Quad model with appropriate models can all achieve high accuracy of sea surface wind speed,and the cross-polarization data shows better performance than the co-polarization data without requiring the radar incident angle and wind direction.The full polarization mode of RADAR-SAT-2 data shows a significant advantage over the single polarization data,and will become the development direction of sea surface wind speed inversion method in the future.

关键词

RADARSAT-2/ERA-Interim/交叉极化/海面风速反演

Key words

RADARSAT-2/ERA-Interim/Cross-polarization/Wind speed retrieval

分类

天文与地球科学

引用本文复制引用

许遐祯,韩冰,黄敬峰,李正泉,龚强,王秀珍..基于交叉极化数据的海面风速反演研究[J].气象科学,2017,37(5):629-638,10.

基金项目

公益性行业(气象)科研专项(GYHY201306050) (气象)

气象科学

OA北大核心CSTPCD

1009-0827

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