Articles | Volume 14, issue 9
https://doi.org/10.5194/gmd-14-5393-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-5393-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
02 Sep 2021
Model description paper |
| 02 Sep 2021
| 02 Sep 2021
The Grell–Freitas (GF) convection parameterization: recent developments, extensions, and applications
Saulo R. Freitas
CORRESPONDING AUTHOR
Goddard Earth Sciences Technology and Research, Universities Space
Research Association, Columbia, MD, USA
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, MD, USA
Georg A. Grell
Earth Systems Research Laboratory, National Oceanic and Atmospheric
Administration, Boulder, CO, USA
Haiqin Li
Earth Systems Research Laboratory, National Oceanic and Atmospheric
Administration, Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences,
University of Colorado Boulder, Boulder, CO, USA
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Cited
15 citations as recorded by crossref.
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- Air quality simulation with WRF-Chem over southeastern Brazil, part I: Model description and evaluation using ground-based and satellite data N. Benavente et al. 10.1016/j.uclim.2023.101703
- Representing effects of surface heterogeneity in a multi-plume eddy diffusivity mass flux boundary layer parameterization N. Arnold 10.5194/gmd-17-5041-2024
- The combined effects of convective entrainment and orographic drag on precipitation over the Tibetan Plateau J. Li et al. 10.1007/s11430-024-1619-5
- Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador 10.5194/gmd-15-3447-2022
- Representing the Subgrid Surface Heterogeneity of Precipitation in a General Circulation Model N. Arnold et al. 10.1029/2022MS003562
- 对流夹卷和地形拖曳对青藏高原降水影响的综合效应 君. 李 et al. 10.1360/SSTe-2024-0356
- A Parameterization for Cloud Organization and Propagation by Evaporation‐Driven Cold Pool Edges S. Freitas et al. 10.1029/2023MS003982
- Impact of the No-Driving Day Program on Air Quality in a High-Altitude Tropical City: The Case of the Toluca Valley Metropolitan Area A. Garcia et al. 10.3390/atmos15040437
- Physics schemes in the first version of NCEP operational hurricane analysis and forecast system (HAFS) W. Wang et al. 10.3389/feart.2024.1379069
- An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018 C. Yang et al. 10.5194/gmd-15-1155-2022
- A simple and realistic aerosol emission approach for use in the Thompson–Eidhammer microphysics scheme in the NOAA UFS Weather Model (version GSL global-24Feb2022) H. Li et al. 10.5194/gmd-17-607-2024
- Atmospheric Convection J. Lin et al. 10.1080/07055900.2022.2082915
- High-resolution anthropogenic emission inventories with deep learning in northern South America F. Antezana Lopez et al. 10.1016/j.rse.2025.114761
- Cascading Toward a Kilometer‐Scale GCM: Impacts of a Scale‐Aware Convection Parameterization in the Goddard Earth Observing System GCM S. Freitas et al. 10.1029/2020GL087682
14 citations as recorded by crossref.
- Analysis of the Gálvez–Davison Index for the Forecasting Formation and Evolution of Convective Clouds in the Tropics: Western Cuba T. Fuentes-Alvarez et al. 10.3390/cli11100209
- Air quality simulation with WRF-Chem over southeastern Brazil, part I: Model description and evaluation using ground-based and satellite data N. Benavente et al. 10.1016/j.uclim.2023.101703
- Representing effects of surface heterogeneity in a multi-plume eddy diffusivity mass flux boundary layer parameterization N. Arnold 10.5194/gmd-17-5041-2024
- The combined effects of convective entrainment and orographic drag on precipitation over the Tibetan Plateau J. Li et al. 10.1007/s11430-024-1619-5
- Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador 10.5194/gmd-15-3447-2022
- Representing the Subgrid Surface Heterogeneity of Precipitation in a General Circulation Model N. Arnold et al. 10.1029/2022MS003562
- 对流夹卷和地形拖曳对青藏高原降水影响的综合效应 君. 李 et al. 10.1360/SSTe-2024-0356
- A Parameterization for Cloud Organization and Propagation by Evaporation‐Driven Cold Pool Edges S. Freitas et al. 10.1029/2023MS003982
- Impact of the No-Driving Day Program on Air Quality in a High-Altitude Tropical City: The Case of the Toluca Valley Metropolitan Area A. Garcia et al. 10.3390/atmos15040437
- Physics schemes in the first version of NCEP operational hurricane analysis and forecast system (HAFS) W. Wang et al. 10.3389/feart.2024.1379069
- An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018 C. Yang et al. 10.5194/gmd-15-1155-2022
- A simple and realistic aerosol emission approach for use in the Thompson–Eidhammer microphysics scheme in the NOAA UFS Weather Model (version GSL global-24Feb2022) H. Li et al. 10.5194/gmd-17-607-2024
- Atmospheric Convection J. Lin et al. 10.1080/07055900.2022.2082915
- High-resolution anthropogenic emission inventories with deep learning in northern South America F. Antezana Lopez et al. 10.1016/j.rse.2025.114761
Latest update: 15 Aug 2025
Short summary
Convection parameterization (CP) is a component of atmospheric models aiming to represent the statistical effects of subgrid-scale convective clouds. Because the atmosphere contains circulations with a broad spectrum of scales, the truncation needed to run models in computers requires the introduction of parameterizations to account for processes that are not explicitly resolved. We detail recent developments in the Grell–Freitas CP, which has been applied in several regional and global models.
Convection parameterization (CP) is a component of atmospheric models aiming to represent the...
