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VERIFICATION OF THE OPERATIONAL 10 M WIND FORECAST OBTAINED WITH THE ALADIN MESOSCALE NUMERICAL WEATHER PREDICTION MODEL

机译:使用阿拉丁中尺度数值天气预报模型获得的可操作的10 M风预测的验证

摘要

This paper presents the results of the verification of operational 10 m wind forecast obtained with the ALADIN mesoscale numerical weather prediction model. In the period 2010-2012 ALADIN/ALARO 8 km forecasts were initialized daily at 00 UTC and driven with the ARPEGE global model forecasts through the 72-hourly forecasting range. Obtained forecasts were further refined to 2 km grid spacing, using the simplified and cost-effective dynamical adaptation method (ALADIN/DADA 2 km forecasts). Since the primary objective of thisstudy is to assess the efficiency of wind forecast in regions of complex terrain as well as high wind energy potential, eight stations from different wind climate regions of the eastern Adriatic coast were selected to perform the verification procedure. Based on variety of statistical and spectral scores, it is suggested that the wind forecast generally improves with the increase of horizontal resolution. At bora dominated stations, the multiplicative mean systematic error isreduced by more than 50%. The largest portion of root-mean square errors can be attributed to dispersion or phase errors at majority of stations and their contribution increases with model horizontal resolution. Spectral analysis in the wavenumber domain suggests that the slope of kinetic energy spectra of both models decreases from k-3 in the upper troposphere towards ~ k-5/3 near the surface (corresponding to orography spectra) and shows minor seasonal variability. Spectral decomposition of measured and modeled data in the frequency domain indicates a significant improvement in simulating the primary and secondary maximum of spectral power(related to synoptic and diurnal motions) by using the ALADIN/DADA 2 km model, especially for the cross-mountain wind component mostly related to strong and gusty bora flows. Finally, the common feature of both models is a significant underestimation of motions atscales below semi-diurnal, which is a result of their absence in initial conditions and of limited model ability to represent small-scale processes.
机译:本文介绍了使用ALADIN中尺度数值天气预报模型获得的10 m风能预报的验证结果。在2010-2012年期间,ALADIN / ALARO每天在世界标准时间00初始化8 km的预测,并通过ARPEGE全球模型预测贯穿72小时的预测范围。使用简化且经济高效的动态自适应方法(ALADIN / DADA 2 km预测)将获得的预测进一步细化为2 km网格间距。由于本研究的主要目的是评估复杂地形和高风能潜力地区的风能预报效率,因此选择了来自亚得里亚海东部沿海不同风气候区的八个测站来执行验证程序。根据各种统计和频谱得分,建议随着水平分辨率的提高,天气预报通常会改善。在波拉控制站,可乘平均系统误差减少了50%以上。均方根误差的最大部分可归因于大多数测站的色散或相位误差,其贡献随着模型水平分辨率的增加而增加。波数域的频谱分析表明,两个模型的动能谱的斜率从对流层上部的k-3减小到地表附近的〜k-5 / 3(与地形图相对应),并且显示出较小的季节变化。通过使用ALADIN / DADA 2 km模型,特别是对于跨山风,在频域中测量和建模数据的频谱分解表明,在模拟频谱功率的主要和次要最大值(与天气和昼夜运动有关)方面有了重大改进成分主要与强烈和阵风的波拉流有关。最后,这两个模型的共同特征是大大降低了半日尺度以下尺度的运动,这是由于它们在初始条件下不存在,并且代表小尺度过程的模型能力有限。

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