A Mathematical Model for Wind Velocity Field Reconstruction and Visualization Taking into Account the Topography Influence

In this paper, we propose a global modelling for vector field approximation from a given finite set of vectors (corresponding to the wind velocity field or marine currents). In the modelling, we propose using the minimization on a Hilbert space of an energy functional that includes a fidelity criterion to the data and a smoothing term. We discretize the continuous problem using a finite elements method. We then propose taking into account the topographic effects on the wind velocity field, and visualization using a free library is also proposed, which constitutes an added value compared to other vector field approximation models.

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Publication Details

Journal
Journal of Imaging
Published
2024-11-07
DOI
https://doi.org/10.3390/jimaging10110285
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A Mathematical Model for Wind Velocity Field Reconstruction and Visualization Taking into Account the Topography Influence

Guzel Khayretdinova, Christian Gout
Journal of Imaging
Computer Graphics and Visualization Techniques
article

A Mathematical Model for Wind Velocity Field Reconstruction and Visualization Taking into Account the Topography Influence

Guzel Khayretdinova, Christian Gout
article en

Abstract

In this paper, we propose a global modelling for vector field approximation from a given finite set of vectors (corresponding to the wind velocity field or marine currents). In the modelling, we propose using the minimization on a Hilbert space of an energy functional that includes a fidelity criterion to the data and a smoothing term. We discretize the continuous problem using a finite elements method. We then propose taking into account the topographic effects on the wind velocity field, and visualization using a free library is also proposed, which constitutes an added value compared to other vector field approximation models.

Journal of ImagingVol. 10(11)
University of Hawaiʻi at Mānoa (US), Centre National de la Recherche Scientifique (FR), Institut National des Sciences Appliquées de Toulouse (FR), Laboratoire de Mathématiques Blaise Pascal (FR), Université de Rouen Normandie (FR), Institut National des Sciences Appliquées Rouen Normandie (FR)
University of Hawai'i, Centre National de la Recherche Scientifique
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Openalex Percentile: Top 60%
Computer Graphics and Visualization Techniques
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