关键词: 动力降尺度, 风速, WRF模式, 风能评估

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