Dynamically optimal models of atmospheric motion

A derivation of discrete dynamical equations for the dry atmosphere in the absence of dissipative processes based on the least action (i.e. Hamilton's) principle is presented. This approach can be considered the finite-element method applied to the calculation and minimization of the action. Th...

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Bibliographic Details
Published in:Nonlinear processes in geophysics Vol. 31; no. 4; pp. 559 - 569
Main Author: Voronovich, Alexander G.
Format: Journal Article
Language:English
Published: Gottingen Copernicus GmbH 05.12.2024
Copernicus Publications
Subjects:
Algorithms
Approximation
Atmosphere
Atmospheric motion
Convection
Discrete systems
Entropy
Evolution
Evolutionary algorithms
Finite element method
Interpolation
Mathematical analysis
Optimization
Ordinary differential equations
Spatial resolution
Tetrahedra
Tracers
ISSN:1607-7946, 1023-5809, 1607-7946
Online Access:Get full text
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Summary:A derivation of discrete dynamical equations for the dry atmosphere in the absence of dissipative processes based on the least action (i.e. Hamilton's) principle is presented. This approach can be considered the finite-element method applied to the calculation and minimization of the action. The algorithm possesses the following characteristic features: For a given set of grid points and a given forward operator (i.e. the mode of interpolation), through the minimization of action, the algorithm ensures maximal closeness (in a broad sense) of the evolution of the discrete system to the motion of the continuous atmosphere (a dynamically optimal algorithm). The grid points can be irregularly spaced, allowing for variable spatial resolution. The spatial resolution can be adjusted locally while executing calculations. By using a set of tetrahedra as finite elements the algorithm ensures a better representation of the topography (piecewise linear rather than staircase). The algorithm automatically calculates the evolution of passive tracers by following the trajectories of the fluid particles, which ensures that all tracer properties required a priori are satisfied. For testing purposes, the algorithm is realized in 2D, and a numerical example representing a convection event is presented.
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ISSN:1607-7946
1023-5809
1607-7946
DOI:10.5194/npg-31-559-2024