Retrieving ocean surface current by 4-D variational assimilation of sea surface temperature images

Коротаев, Г. К.; Huot, Etienne; Dimet, F.‐X. Le; Herlin, Isabelle; Stanichny, S. V.; Solovyev, D.M.; Wu, Lin

doi:10.1016/j.rse.2007.04.020

Cited by 32 publications

(40 citation statements)

References 17 publications

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“…resolution surface current maps obtained by means of the imagery processing (Korotaev et al, 2008) show that the Rim current has fine structure in the form of narrow and intense submesoscale jets. However the current grid size of the model (5 km) is able to resolve mesoscale eddies but not submesoscale structures.…”

Section: Profiling Floatsmentioning

confidence: 99%

Development of Black Sea nowcasting and forecasting system

et al. 2011

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Abstract. The paper presents the development of the Black Sea community nowcasting and forecasting system under the Black Sea GOOS initiative and the EU framework projects ARENA, ASCABOS and ECOOP. One of the objectives of the Black Sea Global Ocean Observing System project is a promotion of the nowcasting and forecasting system of the Black Sea, in order to implement the operational oceanography in the Black Sea region. The first phase in the realization of this goal was the development of the pilot nowcasting and forecasting system of the Black Sea circulation in the framework of project ARENA funded by the EU. The ARENA project included the implementation of advanced modeling and data assimilation tools for near real time prediction. Further progress in development of the Black Sea nowcasting and forecasting system was made in the frame of ASCABOS project, which was targeted at strengthening the communication system, ensuring flexible and operative infrastructure for data and information exchange between the Black Sea partners and end-users. The improvement of the system was made in the framework of the ECOOP project. As a result it was transformed into a real-time mode operational nowcasting and forecasting system. The paper provides the general description of the main parts of the system: circulation and ecosystem models, data assimilation approaches, the system architecture as well as their qualitative and quantitative calibrations.

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Section: Profiling Floatsmentioning

confidence: 99%

Development of Black Sea nowcasting and forecasting system

et al. 2011

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“…Among those heuristics, the shallow water model [17] has been proven to be suitable for representing the surface circulation of closed seas, such as Black Sea [10]. These shallow water equations have also been successfully used to estimate the upper layer circulation of Black Sea from Sea Surface Temperature (SST) images [5,6] with a data assimilation method.…”

Section: Introductionmentioning

confidence: 99%

Coupling Dynamic Equations and Satellite Images for Modelling Ocean Surface Circulation

Béréziat

Herlin

2015

Communications in Computer and Information Science

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Abstract. Satellite image sequences visualise the ocean surface and allow assessing its dynamics. Processing these data is then of major interest to get a better understanding of the observed processes. As demonstrated by state-of-the-art, image assimilation permits to retrieve surface motion, based on assumptions on the dynamics. In this paper, we demonstrate that a simple heuristics, such as the Lagrangian constancy of velocity, can be used and successfully replace the complex physical properties described by the Navier-Stokes equations for assessing surface circulation from satellite images. A data assimilation method is proposed that adds an acceleration term a(t) to this Lagrangian constancy equation, which summarises all physical processes other than advection. A cost function is designed that quantifies discrepancy between satellite data and model values. This cost function is minimised by the BFGS solver with a dual method of data assimilation. The result is the initial motion field and the acceleration terms a(t) on the whole temporal interval. These values a(t) model the forces, other than advection, that contribute to surface circulation. Our approach was tested on synthetic data and with Sea Surface Temperature images acquired on Black Sea. Results are quantified and compared to those of state-of-the-art methods.

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“…This 2D model has been proven to be suitable for representing the surface circulation of closed seas, such as Black Sea (Oguz et al, 1992). The shallow water equations have also been success-1 http://www.nemo-ocean.eu/ fully used to estimate the upper layer circulation of Black Sea from Sea Surface Temperature (SST) images (Korotaev et al, 2008;Huot et al, 2010) with a data assimilation method.…”

Section: Introductionmentioning

confidence: 99%

Image-based Modelling of Ocean Surface Circulation from Satellite Acquisitions

Béréziat

Herlin

2014

Proceedings of the 9th International Conference on Computer Vision Theory and Applications

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To cite this version:Satellite image sequences permit to visualise oceans' surface and their underlying dynamics. Processing these images is then of major interest in order to better understanding of the observed processes. As demonstrated by state-of-the-art, image assimilation allows to retrieve surface motion from image sequences, based on assumptions on the dynamics. In this paper we demonstrate that a simple heuristics, such as the Lagrangian constancy of velocity, can be used, and successfully replaces the complex physical properties described by the Navier-Stokes equations, for assessing surface circulation from satellite images. A data assimilation method is proposed that includes an additional term a(t) to this Lagrangian constancy equation. That term summarises all physical processes other than advection. A cost function is designed, which quantifies discrepancy between satellite data and model values. The cost function is minimised by the BFGS solver with a dual method of data assimilation. The result is the motion field and the additional term a(t). This last component models the forces, other than advection, that contribute to surface circulation. The approach has been tested on Sea Surface Temperature of Black Sea. Results are given on four image sequences and compared with state-ofthe-art methods.

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Retrieving ocean surface current by 4-D variational assimilation of sea surface temperature images

Cited by 32 publications

References 17 publications

Development of Black Sea nowcasting and forecasting system

Development of Black Sea nowcasting and forecasting system

Coupling Dynamic Equations and Satellite Images for Modelling Ocean Surface Circulation

Image-based Modelling of Ocean Surface Circulation from Satellite Acquisitions

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