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AN EVALUATION STUDY OF THE WRF PARAMETRIZATIONS FOR WIND RESOURCE IN ANDALUSIA

机译:安达卢西亚风力资源WRF参数化评价研究

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摘要

We present an evaluation study of the relative performance of 16 different configurations of WRF (Weather Research and Forecasting) Numerical Weather Prediction (NWP) model in simulating hourly values of wind speed and direction at several locations (including offshore) in Andalusia (Southern Iberian Peninsula). The study area is located in a transition zone from middle latitudes to subtropical climates, with the Atlantic Ocean and the Mediterranean region in the southern bound. The region has a high complex topography. This allows to properly evaluate the different parametrizations of the WRF model. Similar works can be found in Ruiz-Arias et al. (2009) and Borge et at. (2008). The experiments were carried out for the different seasons of the year 2007, with a set of three-day-length integrations for spring and summer, and a set of ten-day-length integrations for winter and autumn; with a spatial resolution of 3 km. Results were tested against ground data measured in 6 meteorological towers at different altitudes above the ground. Offshore estimations were evaluated in three locations using buoy data. Results were analyzed on the light of the different topographic characteristics of the validating stations. Overall, the WRF model showed to be a reliable tool for wind energy resources evaluation in the study region. The topographic characteristics of the evaluation locations showed also to play an important role. Particularly, stations located in the eastern part of the study area (with a high complex topography) presented considerable higher estimation errors.
机译:我们提出了一种评价研究,对WRF(天气研究和预测)数值天气预报(NWP)模型的16种不同配置的相对性能,在安达卢西亚(南极洲半岛南部)的几个地点(包括海上)的风速和方向的每小时价值)。该研究区位于中间纬度的过渡带,以亚热带气候,大西洋和南方的地中海地区。该区域具有高复杂的地形。这允许正确评估WRF模型的不同参数化。类似的作品可以在Ruiz-Arias等人找到。 (2009)和Borge et。 (2008)。该实验是为2007年的不同季节进行,春夏的一套三天长的一体化,以及冬季和秋季的一整套长度集成;空间分辨率3公里。结果在地面上方的不同高度的6个气象塔中测量的地面数据进行了测试。使用浮标数据在三个位置评估海上估计。基于验证站的不同地形特性分析了结果。总的来说,WRF模型显示是研究区域风能资源评估的可靠工具。评估位置的地形特征表明也发挥着重要作用。特别地,位于研究区域的东部(具有高复杂地形)的电台呈现了相当多的更高估计误差。

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