Simulation Study on Phase State of Two Rain and Snow Processes in Beijing Area

  • QIN Qingchang ,
  • ZHANG Linna ,
  • YU Jia ,
  • WU Lin
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  • Beijing Municipal Weather Forecast Center, Beijing 100089, China;College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;Center of Numerical Weather Prediction, China Meteorological Administration, Beijing 100081, China;Huairou Meteorological Bureau, Beijing 101400, China

Received date: 2017-11-29

  Online published: 2019-10-28

Abstract

Two rain and snow processes in winter during 2022 November 2015 and 2021 November 2016 were simulated by WRF meso-scale numerical model. Based on the simulation results and observational data, not only the mechanism of phase transformation was analyzed respectively, but also cloud microphysical features in two processes were compared. The results show that the precipitation grade and spatial distribution in two processes can be simulated well by WRF model. Although transformation from rain to sleet is occurred in both two processes, the content and distribution of snow crystal is completely different, which leads to the difference of cloud microphysical processes. As to the rain and snow process in 2015, the adhesion and collection of snow crystal to super-cooled cloud droplets and raindrops maybe cause the transformation from rain to sleet in Beijing observatory, while the deposition, accretion and collection growth of ice is the main microphysical processes in 2016. When forecast the phase state of precipitation in winter, not only the empirical threshold temperature of each standard layer should be paid attention to, but also the level and concentration of water substance related to microphysics in model products.

Cite this article

QIN Qingchang , ZHANG Linna , YU Jia , WU Lin . Simulation Study on Phase State of Two Rain and Snow Processes in Beijing Area[J]. Plateau Meteorology, 2019 , 38(5) : 1027 -1037 . DOI: 10.7522/j.issn.1000-0534.2018.00124

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