Lagrangian Modeling of the Atmosphere [NOOK Book]


Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 200.

Trajectory-based (“Lagrangian”) atmospheric transport and dispersion modeling has gained in popularity and sophistication over the previous several decades. It is common practice now for researchers around ...

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Lagrangian Modeling of the Atmosphere

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Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 200.

Trajectory-based (“Lagrangian”) atmospheric transport and dispersion modeling has gained in popularity and sophistication over the previous several decades. It is common practice now for researchers around the world to apply Lagrangian models to a wide spectrum of issues.

Lagrangian Modeling of the Atmosphere is a comprehensive volume that includes sections on Lagrangian modeling theory, model applications, and tests against observations.

Published by the American Geophysical Union as part of the Geophysical Monograph Series.

  • Comprehensive coverage of trajectory-based atmospheric dispersion modeling
  • Important overview of a widely used modeling tool
  • Sections look at modeling theory, application of models, and tests against observations
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Product Details

  • ISBN-13: 9781118704394
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 5/9/2013
  • Series: Geophysical Monograph Series, #200
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • File size: 10 MB

Meet the Author

John Lin gained his qualifications in Biology and Earth & Planetary Sciences at Harvard University.
He is currently Associate Professor at the Department of Earth & Environmental Sciences at the University of Waterloo, Canada and is an Editorial Board Member for Scientific Reports.
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Table of Contents

John C. Lin, Dominik Brunner, and Christoph Gerbig vii

Lagrangian Modeling of the Atmosphere: An Introduction
John C. Lin 1

Section I: Turbulent Dispersion: Theory and Parameterization

Turbulent Dispersion: Theory and Parameterization—Overview
Ashok K. Luhar 15

History of Lagrangian Stochastic Models for Turbulent Dispersion
D. J. Thomson and J. D. Wilson 19

Lagrangian Particle Modeling of Dispersion in Light Winds
Ashok K. Luhar 37

"Rogue Velocities" in a Lagrangian Stochastic Model for Idealized Inhomogeneous Turbulence
John D. Wilson 53

How Can We Satisfy the Well-Mixed Criterion in Highly Inhomogeneous Flows? A Practical Approach
John C. Lin and Christoph Gerbig 59

Section II: Transport in Geophysical Fluids

Transport in Geophysical Fluids—Overview
Peter Haynes 73

Out of Flatland: Three-Dimensional Aspects of Lagrangian Transport in Geophysical Fluids
Mohamed H. M. Sulman, Helga S. Huntley, B. L. Lipphardt Jr., and A. D. Kirwan Jr 77

A Lagrangian Method for Simulating Geophysical Fluids
Patrick Haertel 85

Entropy-Based and Static Stability–Based Lagrangian Model Grids
Paul Konopka, Felix Ploeger, and Rolf Müller 99

Moisture Sources and Large-Scale Dynamics Associated With a Flash Flood Event
Margarida L. R. Liberato, Alexandre M. Ramos, Ricardo M. Trigo, Isabel F. Trigo, Ana María Durán-Quesada, Raquel Nieto, and Luis Gimeno 111

The Association Between the North Atlantic Oscillation and the Interannual Variability of the Tropospheric Transport Pathways in Western Europe
J. A. G. Orza, M. Cabello, V. Galiano, A. T. Vermeulen, and A. F. Stein 127

Section III: Applications of Lagrangian Modeling: Greenhouse Gases

Applications of Lagrangian Modeling: Greenhouse Gases—Overview
Christoph Gerbig 145

Estimating Surface-Air Gas Fluxes by Inverse Dispersion Using a Backward Lagrangian Stochastic Trajectory Model
J. D. Wilson, T. K. Flesch, and B. P. Crenna 149

Linking Carbon Dioxide Variability at Hateruma Station to East Asia Emissions by Bayesian Inversion
Jiye Zeng, Hideaki Nakajima, Tsuneo Matsunaga, Hitoshi Mukai, Kaduo Hiraki, and Yasuhiro Yokota 163

The Use of a High-Resolution Emission Data Set in a Global Eulerian-Lagrangian Coupled Model
T. Oda, A. Ganshin, M. Saito, R. J. Andres, R. Zhuravlev, Y. Sawa, R. E. Fisher, M. Rigby, D. Lowry, K. Tsuboi, H. Matsueda, E. G. Nisbet, R. Toumi, A. Lukyanov, and S. Maksyutov 173

Toward Assimilation of Observation-Derived Mixing Heights to Improve Atmospheric Tracer Transport Models
Roberto Kretschmer, Frank-Thomas Koch, Dietrich G. Feist, Gionata Biavati, Ute Karstens, and Christoph Gerbig 185

Estimating European Halocarbon Emissions Using Lagrangian Backward Transport Modeling and in Situ Measurements at the Jungfraujoch High-Alpine Site
Dominik Brunner, Stephan Henne, Christoph A. Keller, Martin K. Vollmer, Stefan Reimann, and Brigitte Buchmann 207

Section IV: Atmospheric Chemistry

Atmospheric Chemistry in Lagrangian Models—Overview
Dominik Brunner 225

Global-Scale Tropospheric Lagrangian Particle Models With Linear Chemistry
S. Henne, C. Schnadt Poberaj, S. Reimann, and D. Brunner 235

Quantitative Attribution of Processes Affecting Atmospheric Chemical Concentrations by Combining a Time-Reversed Lagrangian Particle Dispersion Model and a Regression Approach
Joshua Benmergui, Sangeeta Sharma, Deyong Wen, and John C. Lin 251

Section V: Operational/Emergency Modeling

Operational Emergency Preparedness Modeling—Overview
Andreas Stohl 267

Operational Volcanic Ash Cloud Modeling: Discussion on Model Inputs, Products, and the Application of Real-Time Probabilistic Forecasting
P. W. Webley and T. Steensen 271

A Bayesian Method to Rank Different Model Forecasts of the Same Volcanic Ash Cloud
Roger P. Denlinger, Peter Webley, Larry G. Mastin, and Hans Schwaiger 299

Review and Validation of MicroSpray, a Lagrangian Particle Model of Turbulent Dispersion
G. Tinarelli, L. Mortarini, S. Trini Castelli, G. Carlino, J. Moussafir, C. Olry, P. Armand, and D. Anfossi 311

Lagrangian Models for Nuclear Studies: Examples and Applications
D. Arnold, P. Seibert, H. Nagai, G. Wotawa, P. Skomorowski, K. Baumann-Stanzer, E. Polreich, M. Langer, A. Jones, M. Hort, S. Andronopoulos, J. G. Bartzis, E. Davakis, P. Kaufmann, and A. Vargas 329

AGU Category Index 349

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