大气与环境光学学报

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基于修正TV范数光流法的Himawari-8云导风算法研究

贾静荣1, 孙逢林2,邱启荣1,闵敏2,胡开喜3   

  1. 1华北电力大学数理学院,北京102200; 2国家卫星气象中心, 北京100081; 3国家气象信息中心, 北京100081
  • 出版日期:2018-11-28 发布日期:2018-11-14

Research on Cloud Derived Wind Algorithm of Himawari-8 Based on Modified TV Norm Optical Flow Method

JIA Jingrong1, SUN Fenglin2, QIU Qirong1, MIN Min2, HU Kaixi3   

  1. 1~School of Mathematics and Physics, North China Electric Power University, Beijing 102200, China; 2~National Satellite Meteorological Center, \quad Beijing 100081, China; 3~National Weather Information Center,\quad Beijing 100081, China
  • Published:2018-11-28 Online:2018-11-14

摘要: 修正TV范数光流法是基于新一代静止轨道气象卫星Himwari-8 探测的云图数据提出的反演云导风的方法。该方法首先通过ROF去噪模型提取云图细节部分,提出应用TV-L1范数局部惩罚项的光流法实现了高分辨率云导风反演,依靠质量标识对所求导风进行质量控制, 去掉不合理风矢。实验结果表明,该方法适用于400 hPa高度以下的中低云云导风计算。

关键词: 云导风;Himawari-8, ROF去噪模型;修正TV范数光流法;质量控制

Abstract: Based on the cloud image data of a new generation of stationary orbit meteorological satellite Himwari-8 AHI, the modified TV norm optical flow method is put forward to reverse the cloud derived wind. Firstly, through the ROF denoising model the image details are extracted. Using TV-L1 norm local penalty, the optical flow method is presented to achieve a high resolution cloud derived wind inversion. The quality of cloud derived wind is controlled based on quality identification. And unreasonable wind vector is removed. The experimental results show that this method is suitable for cloud derived wind of the low and medium cloud level under the height of 400 hPa.

Key words: cloud derived wind, Himawari-8, ROF denoising model, modified TV norm optical flow method, quality control

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