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Steps towards a SAR-based wind atlas in the Baltic Sea

机译:走向波罗的海的saR风地图集

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摘要

In the EU-Norsewind project (2008-2012) one task was to assess the wind climate in the Baltic Sea using Synthetic Aperture Radar (SAR) observations. The presentation outlines the methodology and key results. The Baltic Sea has been mapped relatively frequently by Envisat ASAR since 2002 and during these years several offshore meteorological masts have been in operation.The first step was to assess the accuracy of SAR-based wind mapping in this region. We compared SAR-based wind maps retrieved from ANSWRS the APL/NOAA SAR Wind Retrieval System. The NOGAPS wind direction data were interpolated in space and time prior to input in CMOD-5. Around 900 collocated pairs of observations were found between the SAR-based wind maps and the 10 offshore meteorological masts. The statistical comparison on wind speed (direction) showed root mean square error 1.17 m/s (6.29°), bias of -0.25 m/s (7.75°), standard deviation of 1.88 m/s (20.11°), and linear correlation coefficient R2 of 0.783 (0.95°).The second step was estimation of the mean wind speed, the Weibull scale and shape parameters, and energy density based on over 1000 SAR-based wind maps for the Baltic Sea. The results were compared to the FINO-2 meteorological mast data.The SAR-based results from the 12 existing and 42 planned offshore wind farm sites within the study area including parts of Danish, Swedish, German, and Polish Seas were extracted and showed variability in wind energy density from 300 to 800 W m-2. The wind energy density as a function of distance to nearest coast was also investigated (Hasager et al. 2011).The third step is focused on lifting SAR-based winds from 10 m to hub-height using a method proposed and applied to a data set in the North Sea by Badger et al. 2012 (EWEA 2012 conference). In brief, the method is based on information of the atmospheric stability and the boundary layer height using WRF mesoscale results and applying this information to a model for the vertical profile in the marine boundary layer between 10 m and hub-height (Peña et al. 2008). The results of step 3 are currently in progress but no results can be presented.
机译:在欧盟-北欧风项目(2008-2012)中,一项任务是使用合成孔径雷达(SAR)观测评估波罗的海的风气候。该演讲概述了方法和主要结果。自2002年以来,Envisat ASAR对波罗的海进行了相对频繁的制图,这些年来,已有数个海上气象桅杆投入运行。第一步是评估该区域基于SAR的风图绘制的准确性。我们比较了从ANSWRS,APL / NOAA SAR风检索系统检索到的基于SAR的风图。在输入CMOD-5之前,先在空间和时间上对NOGAPS风向数据进行插值。在基于SAR的风图和10个海上气象桅杆之间发现了大约900个并置的观测对。风速(方向)的统计比较显示均方根误差为1.17 m / s(6.29°),偏差为-0.25 m / s(7.75°),标准偏差为1.88 m / s(20.11°)和线性相关系数R2为0.783(0.95°)。第二步是基于波罗的海的1000多个基于SAR的风图,估计平均风速,威布尔尺度和形状参数以及能量密度。将结果与FINO-2气象桅杆数据进行比较。提取了研究区域内12个现有和42个计划中的海上风电场的SAR结果,其中包括丹麦,瑞典,德国和波兰海的部分地区,并显示出变化性风能密度从300到800 W m-2。还研究了风能密度与到最近海岸的距离的函数关系(Hasager等人,2011)。第三步着重于使用提出的方法并将基于SAR的风从10 m提升到轮毂高度并将其应用于数据由Badger等人在北海设置。 2012(EWEA 2012大会)。简而言之,该方法基于使用WRF中尺度结果的大气稳定性和边界层高度信息,并将此信息应用于10 m和中心高度之间的海洋边界层垂直剖面模型(Peña等。 2008)。当前正在执行步骤3的结果,但无法显示任何结果。

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