Articles | Volume 8, issue 12
https://doi.org/10.5194/gmd-8-3801-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-3801-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
01 Dec 2015
Development and technical paper |
| 01 Dec 2015
A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model
K. Thayer-Calder
CORRESPONDING AUTHOR
National Center for Atmospheric Research, Boulder, CO, USA
University of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USA
A. Gettelman
National Center for Atmospheric Research, Boulder, CO, USA
C. Craig
National Center for Atmospheric Research, Boulder, CO, USA
S. Goldhaber
National Center for Atmospheric Research, Boulder, CO, USA
P. A. Bogenschutz
National Center for Atmospheric Research, Boulder, CO, USA
C.-C. Chen
National Center for Atmospheric Research, Boulder, CO, USA
H. Morrison
National Center for Atmospheric Research, Boulder, CO, USA
J. Höft
University of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USA
E. Raut
University of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USA
B. M. Griffin
University of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USA
J. K. Weber
University of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USA
V. E. Larson
University of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USA
M. C. Wyant
University of Washington, Department of Atmospheric Sciences, Seattle, WA, USA
Institute for Climate and Global Change Research and School of Atmospheric Sciences, Nanjing University, Nanjing, 210093, China
Collaborative Innovation Center of Climate Change, Jiangsu Province, 210093, China
Pacific Northwest National Laboratory, Richland, WA, USA
Z. Guo
Pacific Northwest National Laboratory, Richland, WA, USA
S. J. Ghan
Pacific Northwest National Laboratory, Richland, WA, USA
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Cited
29 citations as recorded by crossref.
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- Rainfall From Resolved Rather Than Parameterized Processes Better Represents the Present‐Day and Climate Change Response of Moderate Rates in the Community Atmosphere Model G. Kooperman et al. 10.1002/2017MS001188
- Global response of parameterised convective cloud fields to anthropogenic aerosol forcing Z. Kipling et al. 10.5194/acp-20-4445-2020
- Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations in climate models Z. Zhang et al. 10.5194/acp-19-1077-2019
- Long‐term single‐column model intercomparison of diurnal cycle of precipitation over midlatitude and tropical land S. Tang et al. 10.1002/qj.4222
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- A PDF-Based Parameterization of Subgrid-Scale Hydrometeor Transport in Deep Convection M. Wong & M. Ovchinnikov 10.1175/JAS-D-16-0146.1
- Vertical overlap of probability density functions of cloud and precipitation hydrometeors M. Ovchinnikov et al. 10.1002/2016JD025158
- Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations C. Wu et al. 10.5194/acp-17-4731-2017
- An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. 10.1038/s41558-021-01038-1
- Subgrid-scale physical parameterization in atmospheric modeling: How can we make it consistent? J. Yano 10.1088/1751-8113/49/28/284001
- 100 Years of Earth System Model Development D. Randall et al. 10.1175/AMSMONOGRAPHS-D-18-0018.1
- A flexible importance sampling method for integrating subgrid processes E. Raut & V. Larson 10.5194/gmd-9-413-2016
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
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- Framework for improvement by vertical enhancement: A simple approach to improve representation of low and high-level clouds in large-scale models T. Yamaguchi et al. 10.1002/2016MS000815
- Sensitivities of Simulated Satellite Views of Clouds to Subgrid-Scale Overlap and Condensate Heterogeneity B. Hillman et al. 10.1029/2017JD027680
- Effects of model resolution and parameterizations on the simulations of clouds, precipitation, and their interactions with aerosols S. Lee et al. 10.5194/acp-18-13-2018
- A Parameterization of Turbulent Dissipation and Pressure Damping Time Scales in Stably Stratified Inversions, and its Effects on Low Clouds in Global Simulations Z. Guo et al. 10.1029/2020MS002278
- The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model H. Lee et al. 10.1029/2020MS002240
- A new subgrid-scale representation of hydrometeor fields using a multivariate PDF B. Griffin & V. Larson 10.5194/gmd-9-2031-2016
- The Impact of Rimed Ice Hydrometeors on Global and Regional Climate A. Gettelman et al. 10.1029/2018MS001488
- Global climate impacts of stochastic deep convection parameterization in the NCAR CAM 5 Y. Wang & G. Zhang 10.1002/2016MS000756
- Impact of scale-aware deep convection on the cloud liquid and ice water paths and precipitation using the Model for Prediction Across Scales (MPAS-v5.2) L. Fowler et al. 10.5194/gmd-13-2851-2020
- A flexible importance sampling method for integrating subgrid processes E. Raut & V. Larson 10.5194/gmdd-8-9147-2015
28 citations as recorded by crossref.
- The Energy Exascale Earth System Model Simulations With High Vertical Resolution in the Lower Troposphere P. Bogenschutz et al. 10.1029/2020MS002239
- Physics–Dynamics Coupling in Weather, Climate, and Earth System Models: Challenges and Recent Progress M. Gross et al. 10.1175/MWR-D-17-0345.1
- Rainfall From Resolved Rather Than Parameterized Processes Better Represents the Present‐Day and Climate Change Response of Moderate Rates in the Community Atmosphere Model G. Kooperman et al. 10.1002/2017MS001188
- Global response of parameterised convective cloud fields to anthropogenic aerosol forcing Z. Kipling et al. 10.5194/acp-20-4445-2020
- Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations in climate models Z. Zhang et al. 10.5194/acp-19-1077-2019
- Long‐term single‐column model intercomparison of diurnal cycle of precipitation over midlatitude and tropical land S. Tang et al. 10.1002/qj.4222
- Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. 10.1126/sciadv.aaz6433
- A PDF-Based Parameterization of Subgrid-Scale Hydrometeor Transport in Deep Convection M. Wong & M. Ovchinnikov 10.1175/JAS-D-16-0146.1
- Vertical overlap of probability density functions of cloud and precipitation hydrometeors M. Ovchinnikov et al. 10.1002/2016JD025158
- Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations C. Wu et al. 10.5194/acp-17-4731-2017
- An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. 10.1038/s41558-021-01038-1
- Subgrid-scale physical parameterization in atmospheric modeling: How can we make it consistent? J. Yano 10.1088/1751-8113/49/28/284001
- 100 Years of Earth System Model Development D. Randall et al. 10.1175/AMSMONOGRAPHS-D-18-0018.1
- A flexible importance sampling method for integrating subgrid processes E. Raut & V. Larson 10.5194/gmd-9-413-2016
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation T. Michibata et al. 10.5194/gmd-12-4297-2019
- Modulation of the Bifurcation in Radiative‐Convective Equilibrium by Gray‐Zone Cloud and Turbulence Parameterizations X. Shi & Y. Fan 10.1029/2021MS002632
- The path to CAM6: coupled simulations with CAM5.4 and CAM5.5 P. Bogenschutz et al. 10.5194/gmd-11-235-2018
- A Machine Learning Assisted Development of a Model for the Populations of Convective and Stratiform Clouds S. Hagos et al. 10.1029/2019MS001798
- Framework for improvement by vertical enhancement: A simple approach to improve representation of low and high-level clouds in large-scale models T. Yamaguchi et al. 10.1002/2016MS000815
- Sensitivities of Simulated Satellite Views of Clouds to Subgrid-Scale Overlap and Condensate Heterogeneity B. Hillman et al. 10.1029/2017JD027680
- Effects of model resolution and parameterizations on the simulations of clouds, precipitation, and their interactions with aerosols S. Lee et al. 10.5194/acp-18-13-2018
- A Parameterization of Turbulent Dissipation and Pressure Damping Time Scales in Stably Stratified Inversions, and its Effects on Low Clouds in Global Simulations Z. Guo et al. 10.1029/2020MS002278
- The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model H. Lee et al. 10.1029/2020MS002240
- A new subgrid-scale representation of hydrometeor fields using a multivariate PDF B. Griffin & V. Larson 10.5194/gmd-9-2031-2016
- The Impact of Rimed Ice Hydrometeors on Global and Regional Climate A. Gettelman et al. 10.1029/2018MS001488
- Global climate impacts of stochastic deep convection parameterization in the NCAR CAM 5 Y. Wang & G. Zhang 10.1002/2016MS000756
- Impact of scale-aware deep convection on the cloud liquid and ice water paths and precipitation using the Model for Prediction Across Scales (MPAS-v5.2) L. Fowler et al. 10.5194/gmd-13-2851-2020
1 citations as recorded by crossref.
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Short summary
This study evaluates a unified cloud parameterization and a Monte Carlo microphysics interface that is implemented in CAM v5.3. We show mean climate and tropical variability results from global simulations. The model has a degradation in precipitation skill but improvements in shortwave cloud forcing, liquid water path, long-wave cloud forcing, precipitable water, and tropical wave simulation. We also show estimation of computational expense and sensitivity to number of subcolumns.
This study evaluates a unified cloud parameterization and a Monte Carlo microphysics interface...
