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Dependence of mean square slope on wave state and its application in altimeter wind speed retrieval

机译:均方斜率对波浪状态的依赖性及其在高度计风速反演中的应用

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摘要

Mean square slope (MSS) of sea surface is a parameter describing the sea surface roughness and plays a key role in understanding the sea surface dynamics. Although MSS is influenced by many factors such as wind speed and sea surface waves, it has been traditionally parameterized by wind speed only. In this study, the surface wave impact on MSS is investigated using a collocated data set of altimeter and buoy measurements. It is found that the MSS detected by Ku-band altimeter is closely related to the wind wave components and increases with the degree of wind wave development; however, it is almost independent of the swell. The wave effect on MSS is mainly ascribed to the contribution of longer waves rather than shorter waves. An analytical spectral MSS model is proposed, and it is shown that the MSS calculated from the model agrees well with the altimeter-measured MSS when the pseudo-wave age is adjusted to the wave age corresponding to wind waves. This model is applied to derive wind speeds from altimeter data including the normalized radar cross section and the significant wave height of sea surface waves. With the collocated data set, it is shown that this new algorithm performs better than previous empirical algorithms.
机译:海面的均方斜率(MSS)是描述海面粗糙度的参数,在理解海面动力学方面起着关键作用。尽管MSS受风速和海面波等许多因素的影响,但传统上仅通过风速对其进行参数化。在这项研究中,使用高度计和浮标测量的并置数据集研究了表面波对MSS的影响。结果表明,Ku波段测高仪检测到的MSS与风波成分密切相关,并随风波发展程度的增加而增加。但是,它几乎与膨胀无关。波浪对MSS的影响主要归因于较长波浪而不是较短波浪的贡献。提出了一种解析光谱MSS模型,结果表明,当将伪波龄调整为与风浪相对应的波龄时,由模型计算得到的MSS与测高仪MSS吻合良好。该模型用于从高度计数据中导出风速,包括标准化的雷达横截面和海面波的重要波高。通过并置数据集,可以证明该新算法的性能优于以前的经验算法。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第2期|264-275|共12页
  • 作者单位

    Physical Oceanography Laboratory, Ocean University of China, Qingdao 266003, China;

    Physical Oceanography Laboratory, Ocean University of China, Qingdao 266003, China;

    Physical Oceanography Laboratory, Ocean University of China, Qingdao 266003, China;

    Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh,NC 27695, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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