4.7 Article

Synergistic measurements of ocean winds and waves from SAR

期刊

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
卷 120, 期 9, 页码 6164-6184

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2015JC011052

关键词

SAR; quad-polarization; ocean surface wave; wind field; synergistic retrieval

资金

  1. Chinese National High Technology Research and Development (863) Program [2013AA09A505]
  2. National Program on Global Change and Air-Sea Interaction grant [GASI-IPOVAI-04]
  3. National Science Youth Foundation of Jiangsu Province [BK2012467]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
  5. National Oceanic and Atmospheric Ocean Remote Sensing Program

向作者/读者索取更多资源

In this study we present a synergistic method to retrieve both ocean surface wave and wind fields from spaceborne quad-polarization (QP) synthetic aperture radar (SAR) imaging mode data. This algorithm integrates QP-SAR wind vector retrieval model and the wave retrieval model, with consideration to the nonlinear mapping relationship between ocean wave spectra and SAR image spectra, in order to synergistically retrieve wind fields and wave directional spectra. The method does not require a priori information on the sea state. It combines the observed VV-polarized SAR image spectra with the retrieved wind vectors from the VH-polarized SAR image, to estimate the wind-generated wave directional spectra. The differences between the observed SAR spectra and optimal SAR image spectra associated with the wind waves are interpreted as the contributions from the swell waves. The retrieved ocean wave spectra are used to estimate the integrated spectral wave parameters such as significant wave heights, wavelengths, wave directions and wave periods. The wind and wave parameters retrieved by QP-SAR are validated against those measured by the National Data Buoy Center (NDBC) directional wave buoys under different sea states. The validation results show that the QP-SAR SAR has potential to simultaneously measure the ocean surface waves and wind fields from space.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据