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The Representation of Cumulus Convection in Numerical Models

  • Book
  • © 1993

Overview

Editors:
  1. Kerry A. Emanuel
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  2. David J. Raymond
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  • This eBook available on-line for the first time, an AMS publication previously only in print

  • It presents promising efforts to use explicit numerical simulations of ensembles of convective clouds to test cumulus representations

Part of the book series: Meteorological Monographs (METEOR)

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Table of contents (22 chapters)

  1. Front Matter

    Pages N2-v
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  2. General Considerations

    1. Front Matter

      Pages N1-N1
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    2. Closure Assumptions in the Cumulus Parameterization Problem

      • Akio Arakawa
      Pages 1-15

    3. Observational Constraints on Cumulus Parameterizations

      • David J. Raymond
      Pages 17-28

    4. Trade Cumulus Observations

      • Marcia Baker
      Pages 29-37

    5. Impacts of Cumulus Convection on Thermodynamic Fields

      • Michio Yanai, Richard H. Johnson
      Pages 39-62

    6. The Nature of Adjustment in Cumulus Cloud Fields

      • Christopher S. Bretherton
      Pages 63-74

    7. Momentum Transport by Convective Bands: Comparisons of Highly Idealized Dynamical Models to Observations

      • Margaret A. LeMone, Mitchell W. Moncrieff
      Pages 75-92

    8. Cumulus Effects on Vorticity

      • Steven K. Esbensen
      Pages 93-98

  3. Schemes for Large-Scale Models

    1. Front Matter

      Pages 99-99
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    2. Convective Adjustment

      • William M. Frank, John Molinari
      Pages 101-105

    3. The Betts-Miller Scheme

      • Alan K. Betts, Martin J. Miller
      Pages 107-121

    4. The Arakawa-Schubert Cumulus Parameterization

      • Akio Arakawa, Ming-Dean Cheng
      Pages 123-136

    5. Implementation of the Arakawa-Schubert Cumulus Parameterization with a Prognostic Closure

      • David A. Randall, Dzong-Ming Pan
      Pages 137-144

    6. The Kuo Cumulus Parameterization

      • David J. Raymond, Kerry A. Emanuel
      Pages 145-147

  4. Representation of Convection in Mesoscale Models

    1. Front Matter

      Pages 149-149
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    2. A Hybrid Parameterization with Multiple Closures

      • William M. Frank
      Pages 151-154

    3. An Overview of Cumulus Parameterization in Mesoscale Models

      • John Molinari
      Pages 155-158

    4. Convective Parameterization for Mesoscale Models: The Fritsch-Chappell Scheme

      • J. Michael Fritsch, John S. Kain
      Pages 159-164

    5. Convective Parameterization for Mesoscale Models: The Kain-Fritsch Scheme

      • John S. Kain, J. Michael Fritsch
      Pages 165-170
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Keywords

About this book

 This book presents descriptions of numerical models for testing cumulus in cloud fields. It is divided into six parts. Part I provides an overview of the problem, including descriptions of cumulus clouds and the effects of ensembles of cumulus clouds on mass, momentum, and vorticity distributions. A review of closure assumptions is also provided. A review of "classical" convection schemes in widespread use is provided in Part II. The special problems associated with the representation of convection in mesoscale models are discussed in Part III, along with descriptions of some of the commonly used mesoscale schemes. Part IV covers some of the problems associated with the representation of convection in climate models, while the parameterization of slantwise convection is the subject of Part V.

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