On the topographic Rossby solitary waves via physical-informed neural networks

Abstract In the generation and propagation of nonlinear Rossby solitary waves within the atmosphere and ocean, topography occupies a pivotal role. This paper focuses on elucidating the impact of topography on such Rossby solitary waves. Utilizing the perturbation expansion method and spatialtemporal transformations, we derive the Korteweg–de Vries and modified Korteweg–de Vries equation (Gardner equation) governing the amplitude of nonlinear Rossby waves. A fundamental issue addressed herein is a Sturm–Liouville-type ordinary differential equation characterized by variable coefficients and fixed boundary conditions. To numerically solve the derived Korteweg–de Vries and modified Korteweg–de Vries equations, we employ a physical-informed neural network. Both qualitative and quantitative analyses are conducted to discuss the influences of topography and β effects, respectively.

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Publication Details

Journal
Chinese Physics B
Published
2025-04-02
DOI
https://doi.org/10.1088/1674-1056/adc7f1
Citations
1
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
1.79
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article

On the topographic Rossby solitary waves via physical-informed neural networks

Wenxu Liu, Ruigang Zhang, Ligeyan Dao
1 citations
Chinese Physics B
Ocean Waves and Remote Sensing
1.79
article

On the topographic Rossby solitary waves via physical-informed neural networks

Wenxu Liu, Ruigang Zhang, Ligeyan Dao
article en
1 citations

Abstract

Abstract In the generation and propagation of nonlinear Rossby solitary waves within the atmosphere and ocean, topography occupies a pivotal role. This paper focuses on elucidating the impact of topography on such Rossby solitary waves. Utilizing the perturbation expansion method and spatialtemporal transformations, we derive the Korteweg–de Vries and modified Korteweg–de Vries equation (Gardner equation) governing the amplitude of nonlinear Rossby waves. A fundamental issue addressed herein is a Sturm–Liouville-type ordinary differential equation characterized by variable coefficients and fixed boundary conditions. To numerically solve the derived Korteweg–de Vries and modified Korteweg–de Vries equations, we employ a physical-informed neural network. Both qualitative and quantitative analyses are conducted to discuss the influences of topography and β effects, respectively.

Chinese Physics BVol. 34(7)
Inner Mongolia University (CN)
Openalex Percentile: Top 19%
Ocean Waves and Remote Sensing
1.79
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