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. - 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

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.

• 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

1 Introduction 2 Basic Set of Equations 3 Simplification of the Basic Equations 4 Averaging the Conservation Relations 5 Physical and Analytic Modeling 6 Coordinate Transformations 7 Traditional Parameterizations 8 New Parameterization Approaches 9 Methods of Solution 10 Boundary and Initial Conditions 11 Model Evaluation 12 Mesoscale Modeling and Satellite Simulator 13 Examples of Mesoscale Models 14 Synoptic-Scale Background