A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model
Most global climate models parameterize separate cloud types using separate parameterizations. This approach has several disadvantages, including obscure interactions between parameterizations and inaccurate triggering of cumulus parameterizations. <br><br> Alternatively, a unified cloud...
Main Authors: | , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2015-12-01
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Series: | Geoscientific Model Development |
Online Access: | http://www.geosci-model-dev.net/8/3801/2015/gmd-8-3801-2015.pdf |
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author | K. Thayer-Calder A. Gettelman C. Craig S. Goldhaber P. A. Bogenschutz C.-C. Chen H. Morrison J. Höft E. Raut B. M. Griffin J. K. Weber V. E. Larson M. C. Wyant M. Wang Z. Guo S. J. Ghan |
author_facet | K. Thayer-Calder A. Gettelman C. Craig S. Goldhaber P. A. Bogenschutz C.-C. Chen H. Morrison J. Höft E. Raut B. M. Griffin J. K. Weber V. E. Larson M. C. Wyant M. Wang Z. Guo S. J. Ghan |
author_sort | K. Thayer-Calder |
collection | DOAJ |
description | Most global climate models parameterize separate cloud types using separate
parameterizations. This approach has several disadvantages, including obscure
interactions between parameterizations and inaccurate triggering of cumulus
parameterizations.
<br><br>
Alternatively, a unified cloud parameterization uses one equation set to
represent all cloud types. Such cloud types include stratiform liquid and ice
cloud, shallow convective cloud, and deep convective cloud. Vital to the
success of a unified parameterization is a general interface between clouds
and microphysics. One such interface involves drawing Monte Carlo samples of
subgrid variability of temperature, water vapor, cloud liquid, and cloud ice,
and feeding the sample points into a microphysics scheme.
<br><br>
This study evaluates a unified cloud parameterization and a Monte Carlo
microphysics interface that has been implemented in the Community Atmosphere
Model (CAM) version 5.3. Model computational expense is estimated, and
sensitivity to the number of subcolumns is investigated. Results describing
the mean climate and tropical variability from global simulations are
presented. The new model shows a degradation in precipitation skill but
improvements in shortwave cloud forcing, liquid water path, long-wave cloud
forcing, precipitable water, and tropical wave simulation. |
first_indexed | 2024-04-12T23:13:56Z |
format | Article |
id | doaj.art-491a9323083a4a6a8496dc7fd704a8e6 |
institution | Directory Open Access Journal |
issn | 1991-959X 1991-9603 |
language | English |
last_indexed | 2024-04-12T23:13:56Z |
publishDate | 2015-12-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Geoscientific Model Development |
spelling | doaj.art-491a9323083a4a6a8496dc7fd704a8e62022-12-22T03:12:44ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032015-12-018123801382110.5194/gmd-8-3801-2015A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere ModelK. Thayer-Calder0A. Gettelman1C. Craig2S. Goldhaber3P. A. Bogenschutz4C.-C. Chen5H. Morrison6J. Höft7E. Raut8B. M. Griffin9J. K. Weber10V. E. Larson11M. C. Wyant12M. Wang13Z. Guo14S. J. Ghan15National Center for Atmospheric Research, Boulder, CO, USANational Center for Atmospheric Research, Boulder, CO, USANational Center for Atmospheric Research, Boulder, CO, USANational Center for Atmospheric Research, Boulder, CO, USANational Center for Atmospheric Research, Boulder, CO, USANational Center for Atmospheric Research, Boulder, CO, USANational Center for Atmospheric Research, Boulder, CO, USAUniversity of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USAUniversity of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USAUniversity of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USAUniversity of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USAUniversity of Wisconsin – Milwaukee, Department of Mathematical Sciences, Milwaukee, WI, USAUniversity of Washington, Department of Atmospheric Sciences, Seattle, WA, USAInstitute for Climate and Global Change Research and School of Atmospheric Sciences, Nanjing University, Nanjing, 210093, ChinaPacific Northwest National Laboratory, Richland, WA, USAPacific Northwest National Laboratory, Richland, WA, USAMost global climate models parameterize separate cloud types using separate parameterizations. This approach has several disadvantages, including obscure interactions between parameterizations and inaccurate triggering of cumulus parameterizations. <br><br> Alternatively, a unified cloud parameterization uses one equation set to represent all cloud types. Such cloud types include stratiform liquid and ice cloud, shallow convective cloud, and deep convective cloud. Vital to the success of a unified parameterization is a general interface between clouds and microphysics. One such interface involves drawing Monte Carlo samples of subgrid variability of temperature, water vapor, cloud liquid, and cloud ice, and feeding the sample points into a microphysics scheme. <br><br> This study evaluates a unified cloud parameterization and a Monte Carlo microphysics interface that has been implemented in the Community Atmosphere Model (CAM) version 5.3. Model computational expense is estimated, and sensitivity to the number of subcolumns is investigated. Results describing the mean climate and tropical variability from global simulations are presented. The new model shows a degradation in precipitation skill but improvements in shortwave cloud forcing, liquid water path, long-wave cloud forcing, precipitable water, and tropical wave simulation.http://www.geosci-model-dev.net/8/3801/2015/gmd-8-3801-2015.pdf |
spellingShingle | K. Thayer-Calder A. Gettelman C. Craig S. Goldhaber P. A. Bogenschutz C.-C. Chen H. Morrison J. Höft E. Raut B. M. Griffin J. K. Weber V. E. Larson M. C. Wyant M. Wang Z. Guo S. J. Ghan A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model Geoscientific Model Development |
title | A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model |
title_full | A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model |
title_fullStr | A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model |
title_full_unstemmed | A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model |
title_short | A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model |
title_sort | unified parameterization of clouds and turbulence using clubb and subcolumns in the community atmosphere model |
url | http://www.geosci-model-dev.net/8/3801/2015/gmd-8-3801-2015.pdf |
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