ISSN 1000-0526
CN 11-2282/P
Preliminary Experimental Study on Improving Cloud Computing Process with Satellite Data
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Aviation Meteorological Center, Beijing 100021;CMA Numerical Weather Prediction Centre/National Meteorological Centre, Beijing 100081;Institute of Software, Chinese Academy of Sciences, Beijing 100190

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    Abstract:

    The GRAPES_Meso model was used to simulate two rainfall processes in 2018. The relevant cloud variables of model calculation and satellite observation were compared and analyzed. The results show that in the existing cloud computing scheme of GRAPES_Meso model, there is excessive high cloud cover in some places and deficit cloud cover in the mid- and low-level dense-closed cloud region. The cloud top temperature simulated by GRAPES_Meso model is obviously lower and the cloud top height is obviously higher. To address these issues, the principles and formulas of the cloud computing scheme are interpreted, and the calculation for-mula is optimized. After adopting the improved cloud computing scheme, the excessive high cloud cover is greatly alleviated, and the low cloud top temperature and high cloud top height are greatly optimized. Based on satellite observation data, the preliminary exploration and test on the optimization of cloud computing scheme provides a new means for researching and optimizing cloud computing scheme.

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History
  • Received:April 03,2019
  • Revised:June 19,2020
  • Adopted:
  • Online: December 30,2020
  • Published:

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