Time-Fractional Shallow-Water Model for Atmospheric Fluid Layers: Analysis and Semi-Analytical Solution

Oscillatory motions in stratified atmospheric fluid layers significantly influence weather and climate dynamics. Shallow-water equations effectively describe these motions. This study extends the shallow-water model to the time-fractional domain using the conformable fractional derivative. This derivative preserves the local differential structure while introducing tunable time scaling in the dynamics. Approximate analytical solutions were obtained using the conformable Laplace Adomian Decomposition Method (CLADM). This method combines the conformable Laplace transform with Adomian decomposition. Numerical results for fractional orders ϑ∈(0, 1] demonstrate that the fractional parameter systematically modulates the system dynamics. The solutions at ϑ=1 align well with the established Elzaki Adomian Decomposition Method (EADM), Homotopy Analysis Method (HAM), Fractional Reduced Differential Transform Method (FRDTM), and reference numerical solutions (NUM). This fractional framework offers a flexible approach to modeling atmospheric fluid-layer dynamics.

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Journal
Axioms
Published
2026-04-15
DOI
https://doi.org/10.3390/axioms15040290
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Time-Fractional Shallow-Water Model for Atmospheric Fluid Layers: Analysis and Semi-Analytical Solution

Trushit Patel, Priti V. Tandel, Abha Patel
Axioms
Fractional Differential Equations Solutions
article

Time-Fractional Shallow-Water Model for Atmospheric Fluid Layers: Analysis and Semi-Analytical Solution

Trushit Patel, Priti V. Tandel, Abha Patel
article en

Abstract

Oscillatory motions in stratified atmospheric fluid layers significantly influence weather and climate dynamics. Shallow-water equations effectively describe these motions. This study extends the shallow-water model to the time-fractional domain using the conformable fractional derivative. This derivative preserves the local differential structure while introducing tunable time scaling in the dynamics. Approximate analytical solutions were obtained using the conformable Laplace Adomian Decomposition Method (CLADM). This method combines the conformable Laplace transform with Adomian decomposition. Numerical results for fractional orders ϑ∈(0, 1] demonstrate that the fractional parameter systematically modulates the system dynamics. The solutions at ϑ=1 align well with the established Elzaki Adomian Decomposition Method (EADM), Homotopy Analysis Method (HAM), Fractional Reduced Differential Transform Method (FRDTM), and reference numerical solutions (NUM). This fractional framework offers a flexible approach to modeling atmospheric fluid-layer dynamics.

AxiomsVol. 15(4)
Veer Narmad South Gujarat University (IN), University of the People (US)
Climate action
Openalex Percentile: Top 19%
Fractional Differential Equations Solutions
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