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Global well-posedness of the ocean primitive equations with nonlinear thermodynamics

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Korn,  Peter
Applied Mathematics and Computational Physics (AMCP), Scientific Computing Lab (ScLab), MPI for Meteorology, Max Planck Society;
The Ocean in the Earth System, MPI for Meteorology, Max Planck Society;

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Citation

Korn, P. (2021). Global well-posedness of the ocean primitive equations with nonlinear thermodynamics. Journal of Mathematical Fluid Mechanics, 23: 71. doi:10.1007/s00021-021-00596-w.


Cite as: https://hdl.handle.net/21.11116/0000-0008-C183-9
Abstract
We consider the hydrostatic Boussinesq equations of global ocean dynamics, also known as the "primitive equations", coupled to advection-diffusion equations for temperature and salt. The system of equations is closed by an equation of state that expresses density as a function of temperature, salinity and pressure. The equation of state TEOS-10, the official description of seawater and ice properties in marine science of the Intergovernmental Oceanographic Commission, is the most accurate equations of state with respect to ocean observation and rests on the firm theoretical foundation of the Gibbs formalism of thermodynamics. We study several specifications of the TEOS-10 equation of state that comply with the assumption underlying the primitive equations. These equations of state take the form of high-order polynomials or rational functions of temperature, salinity and pressure. The ocean primitive equations with a nonlinear equation of state describe richer dynamical phenomena than the system with a linear equation of state. We prove well-posedness for the ocean primitive equations with nonlinear thermodynamics in the Sobolev space H-1. The proof rests upon the fundamental work of Cao and Titi (Ann. Math. 166:245-267, 2007) and also on the results of Kukavica and Ziane (Nonlinearity 20:2739-2753, 2007). Alternative and older nonlinear equations of state are also considered. Our results narrow the gap between the mathematical analysis of the ocean primitive equations and the equations underlying numerical ocean models used in ocean and climate science.