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Marine and Atmospheric Forecast Computational System for Nautical Sports in Guanabara Bay (Brazil)

机译:瓜纳巴拉湾(巴西)航海运动海洋和大气预报计算系统

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An atmospheric and marine computational forecasting system for Guanabara Bay (GB) was developed to support the Brazilian Sailing Teams in the 2016 Olympic and Paralympic Games. This system, operational since August 2014, is composed of the Weather Research and Forecasting (WRF) and the Regional Ocean Modeling System (ROMS) models, which are both executed daily, yielding 72-h prognostics. The WRF model uses the Global Forecast System (GFS) as the initial and boundary conditions, configured with a three nested-grid scheme. The ocean model is also configured using three nested grids, obtaining atmospheric fields from the implemented WRF and ocean forecasts from CMEMS and TPX07.2 as tidal forcing. To evaluate the model performances, the atmospheric results were compared with data from two local airports, and the ocean model results were compared with data collected from an acoustic current profiler and tidal prediction series obtained from harmonic constants at four stations located in GB. According to the results, reasonable model performances were obtained in representing marine currents, sea surface heights and surface winds. The system could represent the most important local atmospheric and oceanic conditions, being suitable for nautical applications.
机译:开发了用于瓜纳巴拉湾(GB)的大气和海洋计算预报系统,以支持巴西帆船队参加2016年奥运会和残奥会。该系统于2014年8月开始运行,由天气研究和预报(WRF)和区域海洋建模系统(ROMS)模型组成,它们每天都执行,从而产生72小时的预测。 WRF模型使用全球预报系统(GFS)作为初始条件和边界条件,并配置了三个嵌套网格方案。海洋模型还使用三个嵌套网格进行配置,从实现的WRF中获取大气场,并从CMEMS和TPX07.2获取海洋预报作为潮汐强迫。为了评估模型的性能,将大气结果与来自两个当地机场的数据进行了比较,并将海洋模型结果与从声流剖面​​仪和潮汐预报序列收集的数据进行了比较,这些潮汐预报序列是从位于英国的四个站点的谐波常数获得的。根据结果​​,在表示洋流,海面高度和地表风方面获得了合理的模型性能。该系统可以代表最重要的当地大气和海洋条件,适用于航海应用。

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