首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >ANALYSIS OF AN EXTRATROPICAL CYCLONE IN THE SOUTHWEST ATLANTIC: WRF MODEL BOUNDARY CONDITIONS SENSITIVITY
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ANALYSIS OF AN EXTRATROPICAL CYCLONE IN THE SOUTHWEST ATLANTIC: WRF MODEL BOUNDARY CONDITIONS SENSITIVITY

机译:西南大西洋越野旋风分离器分析:WRF模型边界条件敏感性

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Meteorological conditions characterize the southern Brazilian coast a cyclogenetic area. The current study seeks to analyse the sensitivity of the WRF model to initial and boundary meteorological conditions in the simulation of an extratropical cyclone that occurred on the southern Brazilian coast on October 28, 2018. For this purpose, the WRF model was set up for two experimental simulations using the NCEP FNL and the NCEP CFSv2 reanalysis data as initial/boundary conditions. The sensitivity analysis was carried out with the cyclone trajectory assessment and comparison with wind speed data from meteorological stations. The results show that the initial meteorological conditions significantly influence the simulation of the cyclone track. In a nutshell, the use of NCEP CFSv2 resulted in more accurate wind speed simulations when compared to the values observed in the stations. With correlation coefficient values around 0.7, and the lowest bias (−2.57 m/s) and RMSE (3.68 m/s). In contrast, using the NCEP FNL data, the lowest correlation coefficient and the highest bias and RMSE values were obtained: 0.58, −3.97 m/s and 4.91 m/s, respectively. However, both simulations tend to underestimate observational wind speed values. The superior performance of simulations using CFSv2 tends to be related to the finer horizontal resolution of this reanalysis data source.
机译:气象状况表征了巴西南部海岸的环属性区域。目前的研究旨在分析WRF模型在2018年10月28日南部海岸南部发生的越野旋风器模拟中对初始和边界气象条件的敏感性。为此目的,WRF模型已为两个设置使用NCEP FNL和NCEP CFSV2再分析数据的实验模拟作为初始/边界条件。敏感性分析与旋风轨迹评估进行,并与气象站的风速数据进行比较。结果表明,初始气象条件显着影响了旋风轨道的模拟。简而言之,与在车站观察到的值相比,使用NCEP CFSv2导致更精确的风速模拟。相关系数值约为0.7,最低偏置(-2.57 m / s)和RMSE(3.68米/秒)。相反,使用NCEP FNL数据,获得最低相关系数和最高偏差和RMSE值,分别为0.58,-3.97 m / s和4.91 m / s。然而,两种模拟都倾向于低估了观察风速值。使用CFSV2的模拟的卓越性能往往与该再分析数据源的更精细的水平分辨率有关。

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