Results 11 to 20 of about 30,389 (290)
Journal of Advances in Modeling Earth Systems, 2018 The parameterization of moist convection contributes to uncertainty in climate modeling and numerical weather prediction. Machine learning (ML) can be used to learn new parameterizations directly from high‐resolution model output, but it remains poorly ...
Paul A. O'Gorman, John G. Dwyer
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Journal of Advances in Modeling Earth Systems, 2022 We propose a parameterization scheme of convective organization effects based on a moisture‐distribution approach, which can reflect aggregation of convective cells within a model grid as well as the interaction between convection and spatial ...
Ben Yang +9 more
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Gaoyuan qixiang, 2023 The Qinghai-Xizang （Tibetan） Plateau is known as the Asian water tower.The change of its water resources has an important impact on the weather and climate in the lower reaches.Precipitation is a key role in the water cycle.Therefore， it is of great ...
Ying CHEN +4 more
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A Moist Physics Parameterization Based on Deep Learning
Journal of Advances in Modeling Earth Systems, 2020 Current moist physics parameterization schemes in general circulation models (GCMs) are the main source of biases in simulated precipitation and atmospheric circulation.
Yilun Han +3 more
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Parameterizing convective organization
Journal of Advances in Modeling Earth Systems, 2011 Lateral mixing parameters in buoyancy-driven deep convection schemes are among the most sensitive and important unknowns in atmosphere models. Unfortunately, there is not a true optimum value for plume mixing rate, but rather a dilemma or tradeoff: Excessive dilution of updrafts leads to unstable stratification bias in the mean state, while inadequate ...
Brian Earle Mapes, Richard Brian Neale
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Atmosphere, 2014 The research network “Basic Concepts for Convection Parameterization in Weather Forecast and Climate Models” was organized with European funding (COST Action ES0905) for the period of 2010–2014.
Jun–Ichi Yano +11 more
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Bells and whistles of convection parameterization [PDF]
Bulletin of the American Meteorological Society, 2013 The present workshop constitutes the 5th in the annual series on “Concepts for Convective Parameterizations in Large-Scale Models”. The purpose of the workshop series has been to discuss the fundamental theoretical issues of convection parameterization with a small number of European scientists.
Yano, J.-I. +5 more
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Considerations for Stochastic Convective Parameterization [PDF]
Journal of the Atmospheric Sciences, 2002 Convective parameterizations in general circulation models (GCMs) generally only aim to simulate the mean or first-order moment of convection; higher moments associated with subgrid variability are not explicitly considered. In this study, an empirically based stochastic convective parameterization is developed that uses an assumed mixed lognormal ...
Johnny Wei-Bing Lin, J. David Neelin
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A review of the theoretical basis for bulk mass flux convective parameterization [PDF]
, 2009 Most parameterizations for precipitating convection in use today are bulk schemes, in which an ensemble of cumulus elements with different properties is modelled as a single, representative entraining-detraining plume.
Plant, Robert Stephen
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Quantifying the limits of convective parameterizations [PDF]
Journal of Geophysical Research, 2011 [1] Quasi-equilibrium (QE) closure is an approximation that is expected to apply to a large ensemble of clouds under slowly changing weather conditions. It breaks down under rapidly changing conditions or when the domain size is too small to provide an adequate sample of the cloud field.
Todd R. Jones, David A. Randall
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