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Satellite SAR observation of the sea surface wind field caused by rain cells

机译:卫星SAR观测雨单元引起的海面风场

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摘要

Rain cells or convective rain, the dominant form of rain in the tropics and subtropics, can be easy detected by satellite Synthetic Aperture Radar (SAR) images with high horizontal resolution. The footprints of rain cells on SAR images are caused by the scattering and attenuation of the rain drops, as well as the downward airflow. In this study, we extract sea surface wind field and its structure caused by rain cells by using a RADARSAT-2 SAR image with a spatial resolution of 100 m for case study. We extract the sea surface wind speeds from SAR image by using CMOD4 geophysical model function with outside wind directions of NCEP final operational global analysis data, Advance Scatterometer (ASCAT) onboard European MetOp-A satellite and microwave scatterometer onboard Chinese HY-2 satellite, respectively. The root-mean-square errors (RMSE) of these SAR wind speeds, validated against NCEP, ASCAT and HY-2, are 1.48 m/s, 1.64 m/s and 2.14 m/s, respectively. Circular signature patterns with brighter on one side and darker on the opposite side on SAR image are interpreted as the sea surface wind speed (or sea surface roughness) variety caused by downdraft associated with rain cells. The wind speeds taken from the transect profile which superposes to the wind ambient vectors and goes through the center of the circular footprint of rain cell can be fitted as a cosine or sine curve in high linear correlation with the values of no less than 0.80. The background wind speed, the wind speed caused by rain cell and the diameter of footprint of the rain cell with kilometers or tens of kilometers can be acquired by fitting curve. Eight cases interpreted and analyzed in this study all show the same conclusion.
机译:可以通过具有高水平分辨率的卫星合成孔径雷达(SAR)图像轻松检测雨单元或对流雨,这是热带和亚热带雨水的主要形式。 SAR图像上雨单元的足迹是由雨滴的散射和衰减以及向下的气流引起的。在这项研究中,我们通过使用空间分辨率为100 m的RADARSAT-2 SAR图像提取海面风场及其由雨单元引起的结构,以进行案例研究。我们分别使用CMOD4地球物理模型函数和NCEP最终运行全球分析数据的外部风向,欧洲MetOp-A卫星上的高级散射仪(ASCAT)和中国HY-2卫星上的微波散射仪,从SAR图像中提取海面风速。 。这些SAR风速的均方根误差(RMSE)分别针对NCEP,ASCAT和HY-2进行了验证,分别为1.48 m / s,1.64 m / s和2.14 m / s。 SAR图像的一侧较亮而另一侧较暗的圆形特征图案被解释为由与雨单元相关的下降气流引起的海面风速(或海面粗糙度)变化。从剖面轮廓获取的风速可叠加到风环境矢量并经过雨室的圆形足迹中心,可以拟合为具有高线性相关性且值不小于0.80的余弦或正弦曲线。通过拟合曲线可以得到本底风速,雨单元引起的风速以及雨单元的足迹直径(千米或几十公里)。在本研究中解释和分析的8个案例均显示出相同的结论。

著录项

  • 来源
    《海洋学报(英文版)》 |2016年第9期|80-85|共6页
  • 作者单位

    College of Information Science and Engineering, 0cean University of China, Qingdao 266100, China;

    National Satellite 0cean Application Service, State 0ceanic Administration, Beijing 100081, China;

    National Satellite 0cean Application Service, State 0ceanic Administration, Beijing 100081, China;

    National Satellite 0cean Application Service, State 0ceanic Administration, Beijing 100081, China;

    School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China;

    National Satellite 0cean Application Service, State 0ceanic Administration, Beijing 100081, China;

    College of Information Science and Engineering, 0cean University of China, Qingdao 266100, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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