Assimilation of ASCAT winds using 4DVAR: an impact study

D. Srinivas, Indira Rani S., S. Mallick, J. George
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引用次数: 2

Abstract

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.
利用4DVAR同化ASCAT风:影响研究
MetOP卫星上的高级散射仪(ASCAT)的海面风矢量是NWP模式的关键输入,特别是在气旋期间。NCMRWF通过ftp定期从NOAA接收这些风,并定期将其同化到操作全球模式中。研究了2015年10月28日至11月4日强热带气旋Chapala期间ASCAT风对NCMRWF统一模式(NCUM)同化预报系统的影响。在同化之前,这些风与北印度洋(NIO)浮标平台的现场观测结果进行了验证。结果表明,ASCAT风速误差完全在任务目标范围内(<2m/s)。在成功验证后,数值实验被设计成这样一种方式,即从两个不同的初始条件生成10天的预测。在控制运行(CTL)中,ASCAT风从NCUM的观测处理系统(OPS)和变分同化系统(VAR)中删除,而在实验运行(AST)中,ASCAT风同时包含在OPS和VAR中。对这两个运行的预报进行分析,以便在适当的时候看到气旋系统的运动和增强。结果表明,ASCAT风的实验改善了NIO气旋系统的路径和强度。
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