Mesoscale Meteorological Modeling
- 2nd Edition, Volume 98 - December 11, 2001
- Author: Roger A. Pielke
- Language: English
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 4 9 1 8 2 - 0
The second edition of Mesoscale Meteorological Modeling is a fully revised resource for researchers and practitioners in the growing field of meteorological modeling at the mesosc… Read more
The second 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.
Graduate-level courses and researchers in the field of atmospheric science
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
Notes to Chapter 2
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
Notes to Chapter 3
Chapter 4: Averaging the Conservation Relations
4.1 Definition of Averages
4.2 Vorticity Equation
4.3 Diagnostic Equation for Nonhydrostatic Pressure
4.4 Scaled Pressure Form
4.5 Summary
Notes to Chapter 4
Problems
Chapter 5: Physical and Analytic Modeling
5.1 Physical Models
5.2 Linear Models
5.3 Long’s Analytic Solution to Nonlinear Momentum Flow
Notes to Chapter 5
Problems
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
Notes to Chapter 6
Problems
Chapter 7: Parameterization-Averaged Subgrid-Scale Fluxes
7.1 Basic Terms
7.2 Surface Layer Parameterization
7.3 Planetary Boundary-Layer Parameterization
Problems
Chapter 8: Averaged Radiation Flux Divergence
8.1 Introduction
8.2 Basic Concepts2
8.3 Longwave Radiative Flux
8.4 Shortwave Radiative Flux
8.5 Examples of Parameterizations and Level of Complexity
Notes to Chapter 8
Problems
Chapter 9: Parameterization of Moist Thermodynamic Processes
9.1 Introduction
9.2 Parameterization of the Influences of Phase Changes of Water in a Convectively Stable Atmosphere ()
9.3 Parameterization of the Influences of Phase Changes of Water in a Convectively Unstable Atmosphere
9.4 Examples of Parameterizations and Level of Complexity
Notes to Chapter 9
Problems
Chapter 10: Methods of Solution
10.1 Finite Difference Schemes—An Introduction
10.2 Upstream Interpolation Schemes—An Introduction
10.3 Diagnostic Equations
10.4 Time Splitting
10.5 Nonlinear Effects
10.6 Summary
Notes to Chapter 10
Problems
Chapter 11: Boundary and Initial Conditions
11.1 Grid and Domain Structure
11.2 Initialization
11.3 Spatial Boundary Conditions
Notes to Chapters 11
Problems
Chapter 12: Model Evaluation
12.2 Comparison with Analytic Theory
12.3 Comparison with Other Numerical Models
12.4 Comparison Against Different Model Formulations
12.5 Calculation of Model Budgets
12.6 Comparison with Observations
12.7 Model Sensitivity Analyses
Notes to Chapter 12
Problems
Chapter 13: Examples of Mesoscale Models
13.1 Terrain-Induced Mesoscale Systems
13.2 Synoptically-Induced Mesoscale Systems
Notes to Chapter 13
Appendix A
The Solution of Eqs. (10-28) and (10-47) with Periodic Boundary Conditions
Appendix B
Model Summaries
Model: The Operational Multiscale Environment Model with Grid Adaptivity (OMEGA)
Model: MC2
Model: Boundary-Layer Mesoscale Forecast Model (BLFMESO), Version 3.0
Model: FITNAH
Model: COAMPS
Model: MM5
Model: Eta Model
Model: The Regional Atmospheric Modeling System (RAMS)
Model: The Topographic Vorticity Model (TVM)
Model: ARPS
Model: HOTMAC
Appendix C
Summary of Several Cumulus Cloud Parameterization Schemes
Appendix D
BATS, LAPS, and LEAF Comparison Tables
Appendix E
Summary of Datasets (2000)
- Edition: 2
- Volume: 98
- Published: December 11, 2001
- Language: English
RP
Roger A. Pielke
Affiliations and expertise
Colorado State University at Fort Collins, USARead Mesoscale Meteorological Modeling on ScienceDirect