Journal of Arid Meteorology

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Study of Dynamical Downscaling on Near Surface Wind Speed over China

YU Lijuan1, YIN Chengmei1, LIN Yingchao2, HE Jianjun3   

  1. 1. Ji’nan Meteorological Bureau of Shandong Province, Ji’nan 250002, China;
    2. The College of Environmental Science & Engineering, Nankai University, Tianjin 300071, China;
    3. Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather &
     Key Laboratory of Atmospheric Chemistry of CMA, Beijing 100081, China
  • Received:2016-07-07 Revised:2016-09-10 Online:2017-02-28 Published:2017-03-01

中国区域近地面风速动力降尺度研究

于丽娟1尹承美1林应超2何建军3   

  1. 1.山东济南市气象局,山东 济南 250002;2.南开大学环境科学与工程学院,天津 300071;
    3.中国气象科学研究院,灾害天气国家重点实验室/中国气象局大气化学重点开放实验室,北京 100081
  • 通讯作者: 何建军(1983-),江苏如东人,助理研究员,博士,主要从事中尺度数值模拟与大气环境研究.
  • 作者简介:于丽娟(1983-),女,山东泰安人,工程师,硕士,主要从事短期预报和中尺度数值模拟研究. E-mail:yulijuan520520@163.com
  • 基金资助:

    国家自然科学基金(41475038)、山东省气象局预报员专项项目(SDYBY2014-15)和中国科学院寒旱区陆面过程与气候变化重点实验室开放基金(LPCC201405)

Abstract:

Dynamical downscaling is an important method to acquire high resolution meteorological data. Based on the NCEP FNL data and meteorological observations in 2006, this study evaluated the performance of the WRF dynamical downscaling on near surface wind speed over China. The results indicate that the WRF model significantly overestimated near surface wind speed overall, and the bias of wind speed related to local wind speed, it was negative bias in large wind speed region and positive bias in small wind speed region. The seasonal difference of WRF’s performance for wind speed was significant, and the large errors of near surface wind speed were found in spring and winter, while small errors occurred in autumn and summer. The errors of simulated wind speed were relatively larger in Northwest arid area, the Qinghai-Tibet Plateau, and South China, while in other areas they were smaller. Compared to YSU and MJY boundary layer parameterization schemes, ACM2 acquired best performance for near surface wind speed simulation.

Key words:  dynamical downscaling, wind speed, WRF model, wind resource assessment

摘要:

利用2006年NCEP FNL再分析资料和气象站点观测资料,评估中国区域近地面风速WRF动力降尺度效果。结果表明:WRF模式显著高估近地面风速,在风速较大(小)的区域,WRF模式低(高)估了近地面风速;春季和冬季WRF模式模拟的近地面风速误差较大,夏季和秋季模拟的风速误差相对较小;西北干旱区、青藏高原和华南地区WRF模式模拟的风速误差较大,其他地区风速误差相对较小;3种边界层参数化方案(YSU、MYJ和ACM2)中ACM2方案模拟的风速偏差最小。

关键词: 动力降尺度, 风速, WRF模式, 风能评估

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