Results 1 to 10 of about 463 (112)

Phenomenology of convection-parameterization closure [PDF]

Atmospheric Chemistry and Physics, 2013
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
J.-I. Yano, M. Bister, Ž. Fuchs, L. Gerard, V. T. J. Phillips, S. Barkidija, J.-M. Piriou   +6 more
doaj   +5 more sources

Global climate impacts of stochastic deep convection parameterization in the NCARCAM5

Journal of Advances in Modeling Earth Systems, 2016
In this study, the stochastic deep convection parameterization of Plant and Craig (PC) is implemented in the Community Atmospheric Model version 5 (CAM5) to incorporate the stochastic processes of convection into the Zhang‐McFarlane (ZM) deterministic ...
Yong Wang, Guang Zhang
exaly   +2 more sources

Assessing the Grell‐Freitas Convection Parameterization in the NASA GEOS Modeling System

Journal of Advances in Modeling Earth Systems, 2018
We implemented and began to evaluate an alternative convection parameterization for the NASA Goddard Earth Observing System (GEOS) general circulation model (GCM).
Georg Grell, Enio P Souza, Matthew Thompson   +2 more
exaly   +2 more sources

Parameterization of Stochastically Entraining Convection Using Machine Learning Technique

Journal of Advances in Modeling Earth Systems, 2022
A stochastic mixing model with a machine learning technique is proposed for mass flux convection schemes. The model consists of the stochastic differential equations (SDEs) for the fractional entrainment rate, fractional detrainment rate, fractional ...
Jihoon Shin, Jong-Jin Baik
exaly   +2 more sources

Parameterization of the Elevated Convection With a Unified Convection Scheme (UNICON) and Its Impacts on the Diurnal Cycle of Precipitation

Journal of Advances in Modeling Earth Systems
To improve the simulation of nocturnal precipitation, we develop a parameterization for the elevated convection that is launched from the level of maximum grid‐mean moist static energy, when grid‐mean vertical flow is upward at the launching interface ...
Chanwoo Song, Siyun Kim, Sungsu Park
exaly   +2 more sources

Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF v1.0) approach [PDF]

Geoscientific Model Development, 2023
Parameterized boundary layer turbulence and moist convection remain some of the largest sources of uncertainty in general circulation models. High-resolution climate modeling aims to reduce that uncertainty by explicitly attempting to resolve deep moist ...
M. J. Chinita, M. J. Chinita, M. Witte, M. Witte, M. Witte, M. J. Kurowski, J. Teixeira, J. Teixeira, K. Suselj, K. Suselj, G. Matheou, P. Bogenschutz   +11 more
doaj   +1 more source

The Grell–Freitas (GF) convection parameterization: recent developments, extensions, and applications [PDF]

Geoscientific Model Development, 2021
Recent developments and options in the GF (Grell and Freitas, 2014; Freitas et al., 2018) convection parameterization are presented. The parameterization has been expanded to a trimodal spectral size to simulate three convection modes: shallow, congestus,
S. R. Freitas, S. R. Freitas, G. A. Grell, H. Li, H. Li   +4 more
doaj   +1 more source

Parameterizing deep convection using the assumed probability density function method [PDF]

Geoscientific Model Development, 2015
Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization.
R. L. Storer, B. M. Griffin, J. Höft, J. K. Weber, E. Raut, V. E. Larson, M. Wang, P. J. Rasch   +7 more
doaj   +1 more source

Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales [PDF]

Nonlinear Processes in Geophysics, 2020
Ideally, perturbation schemes in ensemble forecasts should be based on the statistical properties of the model errors. Often, however, the statistical properties of these model errors are unknown. In practice, the perturbations are pragmatically modelled
M. Van Ginderachter, M. Van Ginderachter, D. Degrauwe, D. Degrauwe, S. Vannitsem, P. Termonia, P. Termonia   +6 more
doaj   +1 more source

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., Machulskaya, E., Bechtold, P., Plant, R. S., Meteo France, ECMWF   +5 more
openaire   +3 more sources