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Analysis Of An Extratropical Cyclone In The Southwest Atlantic: Wrf Model Boundary Conditions Sensitivity

机译:西南大西洋温带气旋的分析: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:气象条件是巴西南部海岸的一个回旋区。本研究旨在通过模拟2018年10月28日在巴西南部沿海发生的温带气旋来分析WRF模型对初始和边界气象条件的敏感性。为此,为两个人建立了WRF模型。使用NCEP FNL和NCEP CFSv2重新分析数据作为初始/边界条件的实验模拟。通过气旋轨迹评估进行了敏感性分析,并与来自气象站的风速数据进行了比较。结果表明,初始气象条件显着影响了旋风径迹的模拟。简而言之,与在站点中观察到的值相比,使用NCEP CFSv2可以更精确地模拟风速。相关系数值约为0.7,并且最低偏差(-2.57 m / s)和RMSE(3.68 m / s)。相反,使用NCEP FNL数据可获得最低的相关系数,以及最高的偏差和RMSE值:分别为0.58,-3.97 m / s和4.91 m / s。但是,这两种模拟都倾向于低估观测的风速值。使用CFSv2进行仿真的优越性能往往与该重新分析数据源的更好的水平分辨率有关。

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