Results 11 to 20 of about 1,864 (260)
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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Neural‐Network Parameterization of Subgrid Momentum Transport in the Atmosphere
Journal of Advances in Modeling Earth Systems, 2023 Attempts to use machine learning to develop atmospheric parameterizations have mainly focused on subgrid effects on temperature and moisture, but subgrid momentum transport is also important in simulations of the atmospheric circulation.
Janni Yuval, Paul A. O’Gorman
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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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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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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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A Cloud Model to Parameterize Convection [PDF]
Journal of Applied Meteorology, 1973 Abstract This paper describes a parameterization of convection developed for use with a multi-level primitive equation model of the atmosphere. This parameterization is similar in form to that of Kuo, who postulates that boundary layer air rises moist adiabatically before mixing with the large-scale flow.
A. A. Barker, W. R. Kininmonth
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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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Uncertainty quantification of ocean parameterizations: application to the K-Profile-Parameterization for penetrative convection [PDF]
Journal of Advances in Modeling Earth Systems, 2020 Parameterizations of unresolved turbulent processes in the ocean compromise the fidelity of large-scale ocean models used in climate change projections. In this work, we use a Bayesian approach for evaluating and developing turbulence parameterizations by comparing parameterized models with observations or high-fidelity numerical simulations.
Andre Nogueira Souza +11 more
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