【摘要】：激光測風雷達(Light Detection and Ranging,LiDAR)在大氣邊界層觀測試驗中的應用越來越廣泛。測風精度對風資源評估非常重要。復雜地形流場的非均勻性導致激光測風雷達測風的誤差,可能對相關的工程應用造成系統(tǒng)風險。文章給出了基于流體模型修正LiDAR測風誤差的算法,并利用德國Fraunhofer IWES測試站同期LiDAR和風杯觀測數(shù)據驗證了算法的有效性。研究發(fā)現(xiàn):(1)80 m高度各風向LiDAR的實測誤差為-5.0%~2.5%,平均為1.2%;(2)穩(wěn)態(tài)雷諾平均計算流體力學軟件Greenwich CFD可用來修正復雜地形下LiDAR的觀測誤差,估算的分風向LiDAR測風誤差和實測的LiDAR測風誤差趨勢是一致的,且模擬表明,Cosine型的誤差形狀與場址地形特征直接相關;(3)線性流體模型WAs P不能有效刻畫坡度超過15°地形的流場特征,基于WAs P的復雜地形LiDAR測風誤差修正是不可靠的。
[Abstract]:Lidar (Light Detection and Ranging,LiDAR) has been widely used in atmospheric boundary layer observation experiments. Wind measurement accuracy is very important for wind resource evaluation. The inhomogeneity of the complex topographic flow field leads to the wind measurement error of the laser wind measuring radar, which may cause the system risk to the related engineering applications. In this paper, an algorithm for correcting LiDAR wind measurement error based on fluid model is presented, and the validity of the algorithm is verified by simultaneous LiDAR and wind cup observations at Fraunhofer IWES test station in Germany. The results are as follows: (1) the measured error of LiDAR for each wind direction at 80 m height is -5.0 and 2.5, with an average of 1.2; (2) the steady-state Reynolds mean computational fluid dynamics software Greenwich CFD can be used to correct the observation error of LiDAR in complex terrain. The estimated wind error of LiDAR in wind direction is consistent with the trend of measured error of LiDAR, and the simulation results show that, The error shape of Cosine type is directly related to the topographic features of the site. (3) the linear fluid model (WAs P) can not effectively describe the characteristics of flow field with slope over 15 擄, and the correction of LiDAR wind measurement error based on WAs P is not reliable.
【作者單位】： 中國科學院大氣物理研究所大氣邊界層物理和大氣化學國家重點實驗室;
【基金】：國家自然科學基金面上基金項目(11472272);國家自然科學基金面上基金項目(41675010)
【分類號】：TK81;TN958.98
，

本文編號：2329721