Results 1 to 10 of about 1,778 (188)

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

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).
Saulo R Freitas, Georg A Grell, Andrea Molod   +2 more
exaly   +3 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 J Zhang
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 ...
Sungsu Park, Chanwoo Song, Siyun Kim
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

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   +1 more source

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
doaj   +1 more source

Parameterizing Convective Organization Effects With a Moisture‐PDF Approach in Climate Models: Concept and a Regional Case Simulation

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, Minghuai Wang, Guang J. Zhang, Zhun Guo, Yong Wang, Xin Xu, Guoqing Dai, Anning Huang, Yaocun Zhang, Yun Qian   +9 more
doaj   +1 more source