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Confronting Models with Data: The GEWEX Cloud Systems Study

The GEWEX Cloud Systems Study

David Randall
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Steven Krueger
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Christopher Bretherton
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Judith Curry
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Peter Duynkerke
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Mitchell Moncrieff
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Brian Ryan
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David Starr
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Martin Miller
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William Rossow
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George Tselioudis
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Bruce Wielicki
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The Global Energy and Water Cycle Experiment (GEWEX) Cloud System Study (GCSS) was organized to promote the development of improved parameterizations of cloud systems for use in climate and numerical weather prediction models, with an emphasis on the climate applications. GCSS uses models to analyze and understand observations of the behavior of cloud systems. Cloud-system-resolving models (CSRMs) have sufficient spatial and temporal resolution to represent individual cloud elements, but cover a wide enough range of time and space scales to permit statistical analysis of simulated cloud systems. Results from CSRMs are compared with detailed observations, representing specific cases based on field experiments, and also with statistical composites obtained from satellite and meteorological analyses. Single-column models (SCMs) are the column physics components of atmospheric general circulation models (GCMs). SCMs are used to test cloud parameterizations in an uncoupled mode, by comparison with field data and statistical composites. In the original GCSS strategy, data are collected in various field programs and provided to the CSRM community, which first uses the data to “certify” the CSRMs as reliable tools for the simulation of particular cloud regimes, and then uses the CSRMs to develop parameterizations, which are provided to the GCM community. Results of a rethinking of the scientific strategy of GCSS, which takes into account the practical issues that arise in confronting models with data, are reported on herein. The main elements of the proposed new strategy are a more active role for the large-scale modeling community, an explicit recognition of the importance of data integration, and an increasing use of observed cloud-scale statistics for model evaluations.

Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

Department of Meteorology, University of Utah, Salt Lake City, Utah

Atmospheric Science Department, University of Washington, Seattle, Washington

Department of Aerospace Engineering Sciences, University of Colorado, Boulder, Colorado

Royal Netherlands Meteorological Institute, De Bilt, Netherlands

National Center for Atmospheric Research, Boulder, Colorado

CSIRO Division of Atmospheric Research, Victoria, Australia

NASA Goddard Space Flight Center, Greenbelt, Maryland

European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom

NASA Goddard Institute for Space Studies, New York, New York

NASA Langley Research Center, Hampton, Virginia

*Deceased

CORRESPONDING AUTHOR: Dr. David Randall, Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, E-mail: randall@redfish.atmos.colostate.edu

The Global Energy and Water Cycle Experiment (GEWEX) Cloud System Study (GCSS) was organized to promote the development of improved parameterizations of cloud systems for use in climate and numerical weather prediction models, with an emphasis on the climate applications. GCSS uses models to analyze and understand observations of the behavior of cloud systems. Cloud-system-resolving models (CSRMs) have sufficient spatial and temporal resolution to represent individual cloud elements, but cover a wide enough range of time and space scales to permit statistical analysis of simulated cloud systems. Results from CSRMs are compared with detailed observations, representing specific cases based on field experiments, and also with statistical composites obtained from satellite and meteorological analyses. Single-column models (SCMs) are the column physics components of atmospheric general circulation models (GCMs). SCMs are used to test cloud parameterizations in an uncoupled mode, by comparison with field data and statistical composites. In the original GCSS strategy, data are collected in various field programs and provided to the CSRM community, which first uses the data to “certify” the CSRMs as reliable tools for the simulation of particular cloud regimes, and then uses the CSRMs to develop parameterizations, which are provided to the GCM community. Results of a rethinking of the scientific strategy of GCSS, which takes into account the practical issues that arise in confronting models with data, are reported on herein. The main elements of the proposed new strategy are a more active role for the large-scale modeling community, an explicit recognition of the importance of data integration, and an increasing use of observed cloud-scale statistics for model evaluations.

Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

Department of Meteorology, University of Utah, Salt Lake City, Utah

Atmospheric Science Department, University of Washington, Seattle, Washington

Department of Aerospace Engineering Sciences, University of Colorado, Boulder, Colorado

Royal Netherlands Meteorological Institute, De Bilt, Netherlands

National Center for Atmospheric Research, Boulder, Colorado

CSIRO Division of Atmospheric Research, Victoria, Australia

NASA Goddard Space Flight Center, Greenbelt, Maryland

European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom

NASA Goddard Institute for Space Studies, New York, New York

NASA Langley Research Center, Hampton, Virginia

*Deceased

CORRESPONDING AUTHOR: Dr. David Randall, Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, E-mail: randall@redfish.atmos.colostate.edu
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