Results 11 to 20 of about 1,772 (264)
A Lagrangian convective transport scheme including a simulation of the time air parcels spend in updrafts (LaConTra v1.0) [PDF]
Geoscientific Model Development, 2019 We present a Lagrangian convective transport scheme developed for global chemistry and transport models, which considers the variable residence time that an air parcel spends in convection.
I. Wohltmann +9 more
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Phenomenology of convection-parameterization closure [PDF]
Atmospheric Chemistry and Physics, 2012 Abstract. Closure is a problem of defining the convective intensity in a given parameterization. In spite of many years of efforts and progress, it is still considered an overall unresolved problem. The present article reviews this problem from phenomenological perspectives.
Yano, Jun-Ichi +6 more
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Parameterizations for convective transport in various cloud-topped boundary layers [PDF]
Atmospheric Chemistry and Physics, 2015 We investigate the representation of convective transport of atmospheric compounds by boundary layer clouds. We focus on three key parameterizations that, when combined, express this transport: the area fraction of transporting clouds, the upward
M. Sikma, H. G. Ouwersloot
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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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Parameterization of Subgrid Deep Convective Cloud at Gray-Zone Resolutions: Preliminary Results
Tropical Cyclone Research and Review, 2014 : When the horizontal grid size of a numerical weather prediction (NWP) model is between a few hundred meters and ~10 km, referred to as the gray zone, updrafts in convective clouds cannot be fully resolved explicitly and the use of a subgrid convective ...
Wei Huang, Jian-Wen Bao, Baode Chen
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Journal of Advances in Modeling Earth Systems, 2021 Understanding the coupling between convective clouds and the general circulation, as well as addressing the gray zone problem in convective parameterization, requires insight into the genesis and maintenance of spatial patterns in cumulus cloud ...
Roel A. J. Neggers, Philipp J. Griewank
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Assessing Memory in Convection Schemes Using Idealized Tests
Journal of Advances in Modeling Earth Systems, 2023 Two assumptions commonly applied in convection schemes—the diagnostic and quasi‐equilibrium assumptions—imply that convective activity (e.g., convective precipitation) is controlled only by the large‐scale (macrostate) environment at the time.
Y.‐L. Hwong +4 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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