TR
EN
Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis
Abstract
In this study, a data-driven nonlinear reduced-order modeling framework based on Kernel Principal Component Analysis (KPCA) is developed for the rotating thermal shallow water equation. The high-dimensional full-order model is obtained by discretizing the governing equations in space using finite differences and integrating in time with the energy-preserving average vector field method. The proposed approach employs KPCA to construct a nonlinear low-dimensional representation of the solution manifold, by implicitly mapping the snapshot data into a high-dimensional feature space through kernel functions, and captures nonlinear coherent structures more effectively than the linear subspace methods. The proposed framework is a promising approach for efficient simulation of nonlinear geophysical flow models.
Keywords
Supporting Institution
The authors declare that no financial support was received for the research, authorship, or publication of this study.
Ethical Statement
The authors declare that this study does not require any ethics committee approval or special permission.
References
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Details
Primary Language
English
Subjects
Ordinary Differential Equations, Difference Equations and Dynamical Systems
Journal Section
Research Article
Publication Date
June 26, 2026
Submission Date
April 17, 2026
Acceptance Date
June 1, 2026
Published in Issue
Year 2026 Volume: 11 Number: 1
APA
Çakır, Y., & Uzunca, M. (2026). Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis. Sinop Üniversitesi Fen Bilimleri Dergisi, 11(1), 424-440. https://doi.org/10.33484/sinopfbd.1932542
AMA
1.Çakır Y, Uzunca M. Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis. Sinop Uni J Nat Sci. 2026;11(1):424-440. doi:10.33484/sinopfbd.1932542
Chicago
Çakır, Yusuf, and Murat Uzunca. 2026. “Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis”. Sinop Üniversitesi Fen Bilimleri Dergisi 11 (1): 424-40. https://doi.org/10.33484/sinopfbd.1932542.
EndNote
Çakır Y, Uzunca M (June 1, 2026) Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis. Sinop Üniversitesi Fen Bilimleri Dergisi 11 1 424–440.
IEEE
[1]Y. Çakır and M. Uzunca, “Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis”, Sinop Uni J Nat Sci, vol. 11, no. 1, pp. 424–440, June 2026, doi: 10.33484/sinopfbd.1932542.
ISNAD
Çakır, Yusuf - Uzunca, Murat. “Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis”. Sinop Üniversitesi Fen Bilimleri Dergisi 11/1 (June 1, 2026): 424-440. https://doi.org/10.33484/sinopfbd.1932542.
JAMA
1.Çakır Y, Uzunca M. Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis. Sinop Uni J Nat Sci. 2026;11:424–440.
MLA
Çakır, Yusuf, and Murat Uzunca. “Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis”. Sinop Üniversitesi Fen Bilimleri Dergisi, vol. 11, no. 1, June 2026, pp. 424-40, doi:10.33484/sinopfbd.1932542.
Vancouver
1.Yusuf Çakır, Murat Uzunca. Nonlinear Reduced-Order Modeling of the Rotating Thermal Shallow Water Equation via Kernel Principal Component Analysis. Sinop Uni J Nat Sci. 2026 Jun. 1;11(1):424-40. doi:10.33484/sinopfbd.1932542
