Stochasticity of convection in Giga-LES data

The poor representation of tropical convection in general circulation models (GCMs) is believed to be responsible for much of the uncertainty in the predictions of weather and climate in the tropics. The stochastic multicloud model (SMCM) was recently developed by Khouider et al. (Commun Math Sci 8(...

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Veröffentlicht in:	Climate dynamics Jg. 47; H. 5-6; S. 1845 - 1861
Hauptverfasser:	De La Chevrotière, Michèle, Khouider, Boualem, Majda, Andrew J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2016 Springer Springer Nature B.V
Schlagworte:	Atmospheric circulation Atmospheric models Bayesian statistical decision theory Brackish Climate Climatology Convection Convection (Meteorology) data collection Earth and Environmental Science Earth Sciences Eddies General Circulation Models Geophysics/Geodesy Marine Oceanography Parameter estimation prediction simulation models Stochastic models stochastic processes Time series Time-series analysis Tropical environments tropics uncertainty weather United States Parameter estimation Parallel and high performance computing General circulation models Stochastic cumulus parameterization Giga-LES Markov Chain Monte Carlo Bayesian inference Tropical convection Stochastic multicloud model Large matrix exponential
ISSN:	0930-7575, 1432-0894
Online-Zugang:	Volltext
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