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。
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.
出处
《干旱气象》
2017年第1期23-28,56,共7页
Journal of Arid Meteorology
基金
国家自然科学基金(41475038)
山东省气象局预报员专项项目(SDYBY2014-15)
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)共同资助
关键词
动力降尺度
风速
WRF模式
风能评估
dynamical downscaling
wind speed
WRF model
wind resource assessment
