干旱区研究

Arid Zone Research >

2016 , Vol. 33 >Issue 1: 28 - 37

DOI: https://doi.org/10.13866/j.azr.2016.01.03

Weather and Climate

Analysis on the Numerical Simulation of Heavy Rainfall Based on WRF Model in Bayanbuluk Basin

  • LIU Yang ,
  • LI Cheng-zhi ,
  • LIU Zhi-hui ,
  • DENG Xing-yao ,
  • ZHU Jin-huan
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  • 1. Key Laboratory of Oasis Ecology of Ministry of Education,College of Resources and Environment Sciences, Xinjiang University, Urumqi 830046, Xinjiang,China;
    2. Institute of Arid Ecological Environment, Xinjiang University, Urumqi 830046, Xinjiang, China;
    3. Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu, China

Received date: 2014-09-27

  Revised date: 2015-03-19

  Online published: 2016-01-29

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Abstract

In this paper, we evaluate the fitness of WRF physics schemes when simulate weather in Bayanbulak basin of the Tianshan Mountain area in Xinjiang, and seek the best performance one. So we use WRF to simulate two heavy precipitations in this area. We choose two cloud and convective parameterization schemes(Grell-Freitas,Grell-3), two boundary layer parameterization schemes(YSU,MYJ), three cloud microphysical parameterization schemes(Lin,WSM6,Thompson), three combination schemes of short and long radiation(New Goddard/New Goddard,Dudhia/RRTM,GFDL/GFDL). Based on these, we form 36 different combination schemes, and adopt double nested manner in WRF to simulate experimental area. Meanwhile, by using meteorological observational data of automatic weather station, we analyze hourly rainfall, 10 m wind speed, surface atmospheric pressure, atmospheric temperature and characteristics of boundary layer structure. Finally, we evaluate the difference among parameterization schemes and get the most stable ensemble parameterization schemes are YSU, Grell-Freitas, WSM6 and Duhia/RRTM. But even the best performance, one also have some gap to the observation.

Key words： WRF model; parameterization scheme; heavy rainfall; numerical simulation; Bayanbuluk Basin; Xinjiang

Cite this article

LIU Yang , LI Cheng-zhi , LIU Zhi-hui , DENG Xing-yao , ZHU Jin-huan . Analysis on the Numerical Simulation of Heavy Rainfall Based on WRF Model in Bayanbuluk Basin[J]. Arid Zone Research, 2016 , 33(1) : 28 -37 . DOI: 10.13866/j.azr.2016.01.03

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