Articles | Volume 21, issue 5
https://doi.org/10.5194/os-21-2255-2025
https://doi.org/10.5194/os-21-2255-2025
Research article
 | 
07 Oct 2025
Research article |  | 07 Oct 2025

Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches – Part 2: Adjoint frequency response analysis, stochastic models, and synthesis

Kenji Shimizu

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Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches – Part 1: Statistical model and analysis of observational data
Kenji Shimizu
Ocean Sci., 21, 2233–2253, https://doi.org/10.5194/os-21-2233-2025,https://doi.org/10.5194/os-21-2233-2025, 2025
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Cited articles

Alford, M. H., Simmons, H. L., Marques, O. B., and Girton, J. B.: Internal tide attenuation in the North Pacific, Geophys. Res. Lett., 46, 8205–8213, https://doi.org/10.1029/2019GL082648, 2019. a
Ball, F. K.: Energy transfer between external and internal gravity waves, J. Fluid Mech., 19, 465–478, https://doi.org/10.1017/S0022112064001550, 1964. a, b
Bennett, A. F.: Inverse Modeling of the Ocean and Atmosphere, Cambridge University Press, ISBN: 0-521-81373-5, 2002. a, b, c
Blayo, E. and Debreu, L.: Revisiting open boundary conditions from the point of view of characteristic variables, Ocean Model., 9, 231–252, https://doi.org/10.1016/j.ocemod.2004.07.001, 2005. a
Born, M. and Wolf, E.: Principles of Optics, 7th edn., Cambridge University Press, ISBN: 78-1-108-47743-7, 2019. a
Short summary
This study develops a new model suite for the random component of internal tides (internal waves at tidal frequencies). Its example application shows that important parameters for the randomization are the magnitude and correlation length of phase-speed variability and the directional dependence of the phase correlation. The model suite provides a new tool for investigating process and/or parameter dependence of observed random internal tides and for identifying their important sources.
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