General Circulation Model Development

General Circulation Model Development

Past, Present, and Future

1st Edition - June 30, 2000

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  • Author: David Randall
  • Hardcover ISBN: 9780125780100
  • eBook ISBN: 9780080507231

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General Circulation Models (GCMs) are rapidly assuming widespread use as powerful tools for predicting global events on time scales of months to decades, such as the onset of EL Nino, monsoons, soil moisture saturation indices, global warming estimates, and even snowfall predictions. While GCMs have been praised for helping to foretell the current El Nino and its impact on droughts in Indonesia, its full power is only now being recognized by international scientists and governments who seek to link GCMs to help them estimate fish harvests, risk of floods, landslides, and even forest fires.Scientists in oceanography, hydrology, meteorology, and climatology and civil, ocean, and geological engineers perceive a need for a reference on GCM design. In this compilation of information by an internationally recognized group of experts, Professor Randall brings together the knowledge base of the forerunners in theoretical and applied frontiers of GCM development. General Circulation Model Development focuses on the past, present, and future design of numerical methods for general circulation modeling, as well as the physical parameterizations required for their proper implementation. Additional chapters on climate simulation and other applications provide illustrative examples of state-of-the-art GCM design.

Key Features

@introbul:Key Features
@bul:* Foreword by Norman Phillips
* Authoritative overviews of current issues and ideas on global circulation modeling by leading experts
* Retrospective and forward-looking chapters by Akio Arakawa of UCLA
* Historical perspectives on the early years of general circulation modeling
* Indispensable reference for researchers and graduate students


Researchers, professors, and graduate level students in oceanography, climatology, meteorology, hydrology, and those interested in how to code and paramaterize the physics of the ocean, atmosphere, and land surfaces into a predictive model.

Table of Contents

  • Foreword
    A Personal Perspective on the Early Years of General Circulation Modeling at UCLA
    A Brief History of Atmospheric General Circulation Modeling
    Clarifying the Dynamics of the General Circulation: Phillips's 1956 Experiment
    Climate Modeling in the Global Warming Debate
    A Retrospective Analysis of the Charney et al., 1969 Numerical Experiments with the Mintz-Arakawa General Circulation Model
    A Retrospective View of Arakawa's Ideas on Cumulus Parameterization
    On the Origin of Cumulus Parameterization for Numerical Prediction Models
    Quasi-Equilibrium Thinking
    Application of Relaxed Arakawa-Schubert Cumulus Parameterization to the NCEP Climate Model--Some Sensitivity Experiments
    Solving Problems with GCMs
    Research and Development for Medium and Extended-range Forecasts: Methods, Results and Prospects
    Climate Services at the JMA with the Use of General Circulation Model: Dynamical One-Month Prediction
    Numerical Methods: The Arakawa approach, horizontal grid, global and limited-area modeling
    The Formulation of Oceanic General Circulation Models
    Climate and Variability in a Quasi-Equilibrium Tropical Circulation Model
    Climate Simulation Studies at CCSR
    GCMs using Geodesic Grids
    A Coupled GCM pilgrimage: From climate catastrophe to ENSO simulations
    Marine Stratocumulus and its Representation in GCMs
    Cloud Resolving Models
    Improving Cloud-Radiation Parameterizations
    Entropy, the Lorenz Energy Cycle and Climate
    Future Development of General Circulation Models

Product details

  • No. of pages: 416
  • Language: English
  • Copyright: © Academic Press 2000
  • Published: June 30, 2000
  • Imprint: Academic Press
  • Hardcover ISBN: 9780125780100
  • eBook ISBN: 9780080507231

About the Author

David Randall

Affiliations and Expertise

Colorado State University, Fort Collins, USA

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