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Assimilation of ASCAT Winds using 4DVAR: An Impact study

机译:使用4DVAR对ASCAT风的吸收:影响研究

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Sea surface wind vectors from Advanced Scatterometer (ASCAT) onboard MetOP satellites are pivotal inputs to NWP models, especially during cyclone period. NCMRWF regularly receives these winds from NOAA through ftp and routinely assimilates in the operational global models. The impact of ASCAT winds in the NCMRWF Unified Model (NCUM) assimilation and forecast system during the cyclone Chapala period from 28 October 2015 to 4 November 2015 is studied. Before assimilating, these winds are validated against in-situ observations from buoy platforms over the North Indian Ocean (NIO). It is found that the errors in the ASCAT winds are well within the limit of mission goal (<2m/s). After the successful validation, numerical experiments are designed in such a way that 10-day forecasts are generated from two different initial conditions. In the control run (CTL), ASCAT winds are removed from the Observation Processing System (OPS) and Variational Assimilation (VAR) systems of NCUM, while in the experiment run (AST) ASCAT winds are included in both OPS and VAR. Forecasts from both the runs are analysed to see the movement and intensification of the cyclonic system in due course. The results show that the experiments with ASCAT winds improved the track and intensity of the NIO cyclonic system.
机译:来自MetOP卫星上高级散射仪(ASCAT)的海面风向矢量是NWP模型的关键输入,特别是在气旋期。 NCMRWF定期通过ftp接收来自NOAA的这些风,并定期加入可操作的全球模式。研究了2015年10月28日至2015年11月4日气旋Chapala期间ASCAT风对NCMRWF统一模型(NCUM)同化和预报系统的影响。在吸收之前,这些风已通过北印度洋(NIO)上浮标平台的现场观测进行了验证。发现ASCAT风的误差完全在任务目标的范围内(<2m / s)。成功验证之后,将以这样的方式设计数值实验:从两个不同的初始条件生成10天的预测。在控制运行(CTL)中,将ASCAT风从NCUM的观测处理系统(OPS)和变异同化(VAR)系统中删除,而在实验运行(AST)中,OPS和VAR中都包含ASCAT风。分析了两次运行的预测,以了解旋风系统在适当时候的运动和增强。结果表明,利用ASCAT风进行的实验改善了NIO气旋系统的航迹和强度。

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