Journal of Atmospheric and Environmental Optics

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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
  • Online:2018-11-28 Published:2018-11-14

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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