Journal of Arid Meteorology

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Simulation of Temperature and Precipitation Based on RegCM4.0 with Different Convection Parameterization Schemes in
 Shandong Province During 1990-2009

  

  1. 1. Shandong Provincial Climate Centre, Ji’nan 250031, China;
    2. College of Atmospheric Sciences, Lanzhou University, Key Laboratory of Semi-Arid Climate Change of the Ministry of Education, Lanzhou 730000, China;
    3. Institute of Arid Meteorology, CMA, Lanzhou 730020, China
  • Online:2016-12-30 Published:2016-12-30

RegCM4.0不同对流参数化方案对山东省气温和降水的模拟

  

  1. 1.山东省气候中心,山东 济南 250031;
    2. 兰州大学大气科学学院,半干旱气候变化教育部重点实验室,甘肃 兰州 730000;
    3. 中国气象局兰州干旱气象研究所,甘肃 兰州 730020
  • 作者简介:商林(1987-),女,山东聊城人,博士,工程师,主要从事数值模式发展和研究工作. E-mail:shangl2005@163.com
  • 基金资助:

    山东省气象局青年基金(2015SDQN11)资助

Abstract:

Based on the NCAR/NNRP2 reanalysis data, the weekly average OI_WK reanalysis data from the American National Oceanic and Atmospheric Administration (NOAA), the daily temperature and precipitation data at 122 meteorological stations in Shandong Province, the temperature and precipitation in Shandong Province during 1990-2009 were simulated by using the regional climate model (RegCM4.0) with different convection parameterization schemes, including MIT-Emanuel, Grell and Kuo parameterization schemes. The results showed that RegCM4.0 with three convection parameterization schemes could simulate reasonably the annual changes of temperature and precipitation in Shandong Province during 1990-2009, and the effect of simulation on temperature was better than precipitation. The simulated values of annual mean temperature were lower than the observations, and the annual mean temperatures simulated by RegCM4.0 with the Grell scheme were lowest, while that with the Ema and Kuo schemes were 1 ℃ lower than the observation in the inland areas and were 1.5 ℃ higher than the observation in the coastal areas of Shandong Province. The annual precipitations simulated by RegCM4.0 were less than the observations, and that with the Kuo scheme was least. In additional, the simulation effect of precipitation was the best in winter and the worst in summer. The simulated precipitation with the Ema scheme in summer was 13.2% more than the observation, while that with the Grell scheme was 17.8% less than the observation. The correlation coefficients of summer and autumn precipitation between the simulation and observation were highest with the Grell and Kuo schemes.

Key words: RegCM4.0, convection parameterization scheme, temperature, precipitation

摘要:

利用NCAR/NNRP2的每日4次再分析资料、NOAA的周平均OI_WK再分析资料和山东省122个观测站逐日气温和降水资料,使用RegCM4.0区域气候模式,选取MIT-Emanuel、Grell和Kuo 3种对流参数化方案,对山东省1990—2009年气温和降水进行了数值模拟。结果表明:3种对流参数化方案均能模拟出山东省平均气温和降水量的年际变化,且对气温的模拟效果总体好于降水。模拟的年平均气温偏低,其中Grell试验模拟结果最低,而Ema和Kuo试验模拟的年平均气温在内陆地区存在冷偏差(约-1 ℃),在沿海地区存在暖偏差(约+1.5 ℃)。模拟的年降水量偏少,其中Kuo试验模拟值最少。该模式对降水的模拟效果冬季最好,夏季最差。其中,夏季降水量的模拟值Ema试验较观测值偏多13.2%,Grell试验较观测值偏少17.8%。Grell和Kuo试验,对夏季和秋季降水量的模拟值与观测值的相关系数最高。

关键词: RegCM4.0, 对流参数化方案, 气温, 降水

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