Deep Convection Triggering by Boundary Layer Thermals. Part II: Stochastic Triggering Parameterization for the LMDZ GCM

Deep Convection Triggering by Boundary Layer Thermals. Part II: Stochastic Triggering Parameterization for the LMDZ GCM

This paper presents a stochastic triggering parameterization for deep convection and its implementation in the latest standard version of the Laboratoire de Meteorologie DynamiqueZoom (LMDZ) general circulation model: LMDZ5B. The derivation of the formulation of this parameterization and the justifi...

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Veröffentlicht in:Journal of the atmospheric sciences 2014-02, Vol.71 (2), p.515-538
Hauptverfasser: Rochetin, Nicolas, Grandpeix, Jean-Yves, Rio, Catherine, Couvreux, Fleur
Format: Artikel
Sprache:eng
Schlagworte:
Boundary layers
Circulation
Climatology
Cold
Convection
Convection modes
Derivation
Earth Sciences
General circulation models
Mathematical models
Meteorology
Parametrization
Precipitation
Sciences of the Universe
Simulation
Stochasticity
Trade winds
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Beschreibung
Zusammenfassung:This paper presents a stochastic triggering parameterization for deep convection and its implementation in the latest standard version of the Laboratoire de Meteorologie DynamiqueZoom (LMDZ) general circulation model: LMDZ5B. The derivation of the formulation of this parameterization and the justification, based on large-eddy simulation results, for the main hypothesis was proposed in Part I of this study.
ISSN:0022-4928
1520-0469
DOI:10.1175/JAS-D-12-0337.1