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Hydrostatic Hamiltonian particle-mesh (HPM) methods for atmospheric modelling

  • We develop a hydrostatic Hamiltonian particle-mesh (HPM) method for efficient long-term numerical integration of the atmosphere. In the HPM method, the hydrostatic approximation is interpreted as a holonomic constraint for the vertical position of particles. This can be viewed as defining a set of vertically buoyant horizontal meshes, with the altitude of each mesh point determined so as to satisfy the hydrostatic balance condition and with particles modelling horizontal advection between the moving meshes. We implement the method in a vertical-slice model and evaluate its performance for the simulation of idealized linear and nonlinear orographic flow in both dry and moist environments. The HPM method is able to capture the basic features of the gravity wave to a degree of accuracy comparable with that reported in the literature. The numerical solution in the moist experiment indicates that the influence of moisture on wave characteristics is represented reasonably well and the reduction of momentum flux is in good agreement withWe develop a hydrostatic Hamiltonian particle-mesh (HPM) method for efficient long-term numerical integration of the atmosphere. In the HPM method, the hydrostatic approximation is interpreted as a holonomic constraint for the vertical position of particles. This can be viewed as defining a set of vertically buoyant horizontal meshes, with the altitude of each mesh point determined so as to satisfy the hydrostatic balance condition and with particles modelling horizontal advection between the moving meshes. We implement the method in a vertical-slice model and evaluate its performance for the simulation of idealized linear and nonlinear orographic flow in both dry and moist environments. The HPM method is able to capture the basic features of the gravity wave to a degree of accuracy comparable with that reported in the literature. The numerical solution in the moist experiment indicates that the influence of moisture on wave characteristics is represented reasonably well and the reduction of momentum flux is in good agreement with theoretical analysis.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Seoleun Shin, Sebastian ReichORCiDGND, Jason Frank
DOI:https://doi.org/10.1002/qj.982
ISSN:0035-9009
Titel des übergeordneten Werks (Englisch):Quarterly journal of the Royal Meteorological Society
Verlag:Wiley-Blackwell
Verlagsort:Hoboken
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2012
Erscheinungsjahr:2012
Datum der Freischaltung:26.03.2017
Freies Schlagwort / Tag:Lagrangian modeling; conservative discretization; fluid mechanics; holonomic constraints
Band:138
Ausgabe:666
Seitenanzahl:12
Erste Seite:1388
Letzte Seite:1399
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik
Peer Review:Referiert
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