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A 4D-variational ocean data assimilation application for Santos Basin, Brazil

机译：巴西桑托斯盆地的4D变化海洋数据同化应用程序

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摘要

Aiming to achieve systematic ocean forecasting for the southeastern Brazilian coast, an incremental 4D-Var data assimilation system is applied to a regional ocean model focused mainly in the Santos Basin region. This implementation is performed within the scope of The Santos Basin Ocean Observing System (or Project Azul), a pilot project designed to collect oceanographic data with enough frequency and spatial coverage so to improve regional forecasts through data assimilation. The ocean modeling and data assimilation system of Project Azul is performed with the Regional Ocean Modeling System (ROMS). The observations used in the assimilation cycles include the following: 1-day gridded, 0.1A degrees resolution SST from POES AVHRR; 1-day gridded, 0.3A degrees composite of the MDT SSH from AVISO; and surface and subsurface hydrographic measurements of temperature and salinity collected with gliders and ARGO floats from Project Azul and from UK Met-Office EN3 project dataset. The assimilative model results are compared to forward model results and independent observations, both from remote sensing and in situ sources. The results clearly show that 4D-Var data assimilation leads to an improvement in the skill of ocean hindcast in the studied region.
机译：为了实现对巴西东南沿海的系统海洋预报，将增量4D-Var数据同化系统应用于主要集中在桑托斯盆地地区的区域海洋模型。该实施是在Santos盆地海洋观测系统（或Azul项目）的范围内进行的，该项目是一个试点项目，旨在收集具有足够频率和空间覆盖率的海洋数据，从而通过数据同化来改善区域预报。 Azul项目的海洋建模和数据同化系统是通过区域海洋建模系统（ROMS）执行的。同化周期中使用的观测值包括：POES AVHRR的1天网格，0.1A度分辨率的SST；由AVISO提供的1天网格，0.3A度的MDT SSH复合材料；以及从Azul项目和UK Met-Office EN3项目数据集收集的使用滑翔机和ARGO浮标收集的温度和盐度的表面和地下水文测量结果。将同化模型结果与正向模型结果和来自遥感和原地的独立观测结果进行比较。结果清楚地表明，在研究区域中4D-Var数据的同化导致海洋后预报技术的提高。

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