Mesoscale Meteorological Modeling, Volume 98

3rd Edition

Authors: Roger A Pielke Sr
Hardcover ISBN: 9780123852373
eBook ISBN: 9780123852380
Imprint: Academic Press
Published Date: 1st September 2013
Page Count: 760
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Table of Contents

Preface to the First Edition

Preface to the Second Edition

Preface to the Third Edition


Chapter 1. Introduction

Chapter 2. Basic Set of Equations


2.1 Conservation of Mass

2.2 Conservation of Heat

2.3 Conservation of Motion

2.4 Conservation of Water

2.5 Conservation of Other Gaseous and Aerosol Materials

2.6 Summary

Chapter 2 Additional Readings

Chapter 3. Simplification of the Basic Equations


3.1 Conservation of Mass

3.2 Conservation of Heat

3.3 Conservation of Motion

3.4 Conservation of Water and Other Gaseous and Aerosol Contaminants

Chapter 3 Additional Readings

Chapter 4. Averaging the Conservation Relations


4.1 Definition of Averages

4.2 Diagnostic Equation for Nonhydrostatic Pressure

4.3 Scaled Pressure Form

4.4 Summary

Problems for Chapter 4

Chapter 4 Additional Readings

Chapter 5. Physical and Analytic Modeling


5.1 Physical models

5.2 Linear models

5.3 Role of compressibility in mesoscale models

5.4 Problems for Chapter 5

Chapter 5 Additional Readings

Chapter 6. Coordinate Transformations


6.1 Tensor Analysis

6.2 Generalized Vertical Coordinate

6.3 The Sigma-z Coordinate System

6.4 Derivation of Drainage Flow Equations Using Two Different Coordinate Representations

6.5 Summary

6.6 Application of Terrain-Following Coordinate Systems

Problems for Chapter 6

Chapter 6 Additional Readings

Chapter 7. Traditional Parameterizations


7.1 Introduction

7.2 Parameterization of Subgrid-Scale Averaged Flux Divergence

7.3 Parameterization of Radiative Flux Divergence

7.4 Parameterization of Moist Thermod


The 3rd edition of Mesoscale Meteorological Modeling is a fully revised resource for researchers and practitioners in the growing field of meteorological modeling at the mesoscale. Pielke has enhanced the new edition by quantifying model capability (uncertainty) by a detailed evaluation of the assumptions of parameterization and error propagation. Mesoscale models are applied in a wide variety of studies, including weather prediction, regional and local climate assessments, and air pollution investigations.

Key Features

  • Broad expansion of the concepts of parameterization and parameterization methodology
  • Addition of new modeling approaches, including modeling summaries and summaries of data sets
  • All-new section on dynamic downscaling


Graduate-level courses and researchers in the field of atmospheric science.


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© Academic Press 2013
Academic Press
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"I recommend this book to all those interested in mesoscale meteorological modeling" - -Dale Hess, Bureau of Meteorology Research Centre, Australian Meteorological Magazine, September 2002

About the Authors

Roger A Pielke Sr Author

Affiliations and Expertise

Cooperative Institute for Research in the Atmosphere, University of Colorado, Boulder, CO, USA