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Using the MM5 model for wind prediction in a complex terrain site

机译:在复杂地形网站中使用MM5模型进行风预测

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Short term prediction models for wind power need meteorological forecastas as input. The better the quality of the available meteorological forecasts the better the wind power prediction that be obtained for on-line operation models. In Spain, meteorological forecasts are regularly delivered by the National Institute os Meteorology by means of an operational Numerical Weather Prediction System based on the HIRLAM model with a maximum spatial resolution of 0.2° lat x lon. The use of a higher resolution model should produce better meteorological forecasts, and therefore better wind power prediction, particularly on complex terrain sites. Dynamical downscaling technics have been proved as an adequate tool for characterization of regional features linked to complex orography. This technique has already been used by the EPPE (Ente Publico Puertos del Estado, Spain), within the HIPOCAS EU-funded proyect, to produce a high resolution 44-year atmospheric database for the Mediterranean basin through the REMO model. A comparison between this data and MM5 on an offshore site is considered a first step in order to obtain a higher resolution database. The authors have tested the influence of different combinations of parametrizations and nesting strategies for predicting wind on a complex terrain site with MM5 to provide realistic/efficient forecasts adapted to the characteristics of the area and case study.
机译:风力电力的短期预测模型需要气象预测作为输入。可用气象预测的质量越好,用于在线操作模型获得的风力电力预测越好。在西班牙,国家研究所OS气象经常通过基于Hirlam模型的运行数值天气预报系统定期提供气象预测,最大空间分辨率为0.2°Lat X LON。使用更高分辨率模型应该产生更好的气象预测,因此更好的风力预测,特别是在复杂的地形位点上。被证明是动态较低技术作为适当的工具,用于表征与复杂的地形相连的区域特征。该技术已经被EPPE(Ente Publeto Puertos del Estado)在HIPOCAS欧盟资助的普及中使用,以通过REMO模型为地中海盆地生产高分辨率的44年大气数据库。在近海站点上的该数据和MM5之间的比较被认为是获得更高分辨率的数据库的第一步。作者已经测试了不同组合参数化和嵌套策略的影响,以预测具有MM5的复杂地形网站上的风力,以提供适应该地区和案例研究的特征的现实/有效的预测。

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