جزییات کتاب
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 modelingImportant overview of a widely used modeling toolSections look at modeling theory, application of models, and tests against observations Content: Chapter 1 Lagrangian Modeling of the Atmosphre: An Introduction (pages 1–11): John C. LinChapter 2 Turbulent Dispersion: Theory and Parameterization—Overview (pages 14–18): Ashok K. LuharChapter 3 History of Lagrangian Stochastic Models for Turbulent Dispersion (pages 19–36): D. J. Thomson and J. D. WilsonChapter 4 Lagrangian Particle Modeling of Dispersion in Light Winds (pages 37–52): Ashok K. LuharChapter 5 “Rogue Velocities” in a Lagrangian Stochastic Model for Idealized Inhomogeneous Turbulence (pages 53–58): John D. WilsonChapter 6 How Can We Satisfy the Well?Mixed Criterion in Highly Inhomogeneous Flows? A Practical Approach (pages 59–70): John C. Lin and Christoph GerbigChapter 7 Transport in Geophysical Fluids—Overview (pages 72–76): Peter HaynesChapter 8 Out of Flatland: Three?Dimensional Aspects of Lagrangian Transport in Geophysical Fluids (pages 77–84): Mohamed H. M. Sulman, Helga S. Huntley, B. L. Lipphardt and A. D. KirwanChapter 9 A Lagrangian Method for Simulating Geophysical Fluids (pages 85–98): Patrick HaertelChapter 10 Entropy?Based and Static Stability–Based Lagrangian Model Grids (pages 99–110): Paul Konopka, Felix Ploeger and Rolf MullerChapter 11 Moisture Sources and Large?Scale Dynamics Associated With a Flash Flood Event (pages 111–126): Margarida L. R. Liberato, Alexandre M. Ramos, Ricardo M. Trigo, Isabel F. Trigo, Ana Maria Duran?Quesada, Raquel Nieto and Luis GimenoChapter 12 The Association Between the North Atlantic Oscillation and the Interannual Variability of the Tropospheric Transport Pathways in Western Europe (pages 127–142): J. A. G. Orza, M. Cabello, V. Galiano, A. T. Vermeulen and A. F. SteinChapter 13 Applications of Lagrangian Modeling: Greenhouse Gases—Overview (pages 144–148): Christoph GerbigChapter 14 Estimating Surface?Air Gas Fluxes by Inverse Dispersion Using a Backward Lagrangian Stochastic Trajectory Model (pages 149–162): J. D. Wilson, T. K. Flesch and B. P. CrennaChapter 15 Linking Carbon Dioxide Variability at Hateruma Station to East Asia Emissions by Bayesian Inversion (pages 163–172): Jiye Zeng, Hideaki Nakajima, Tsuneo Matsunaga, Hitoshi Mukai, Kaduo Hiraki and Yasuhiro YokotaChapter 16 The Use of a High?Resolution Emission Data Set in a Global Eulerian?Lagrangian Coupled Model (pages 173–184): 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. MaksyutovChapter 17 Toward Assimilation of Observation?Derived Mixing Heights to Improve Atmospheric Tracer Transport Models (pages 185–206): Roberto Kretschmer, Frank?Thomas Koch, Dietrich G. Feist, Gionata Biavati, Ute Karstens and Christoph GerbigChapter 18 Estimating European Halocarbon Emissions Using Lagrangian Backward Transport Modeling and in Situ Measurements at the Jungfraujoch High?Alpine Site (pages 207–222): Dominik Brunner, Stephan Henne, Christoph A. Keller, Martin K. Vollmer, Stefan Reimann and Brigitte BuchmannChapter 19 Atmospheric Chemistry in Lagrangian Models—Overview (pages 224–234): Dominik BrunnerChapter 20 Global?Scale Tropospheric Lagrangian Particle Models With Linear Chemistry (pages 235–250): S. Henne, C. Schnadt Poberaj, S. Reimann and D. BrunnerChapter 21 Quantitative Attribution of Processes Affecting Atmospheric Chemical Concentrations by Combining a Time?Reversed Lagrangian Particle Dispersion Model and a Regression Approach (pages 251–264): Joshua Benmergui, Sangeeta Sharma, Deyong Wen and John C. LinChapter 22 Operational Emergency Preparedness Modeling—Overview (pages 266–269): Andreas StohlChapter 23 Operational Volcanic Ash Cloud Modeling: Discussion on Model Inputs, Products, and the Application of Real?Time Probabilistic Forecasting (pages 271–298): P. W. Webley and T. SteensenChapter 24 A Bayesian Method to Rank Different Model Forecasts of the Same Volcanic Ash Cloud (pages 299–310): Roger P. Denlinger, Peter Webley, Larry G. Mastin and Hans SchwaigerChapter 25 Review and Validation of MicroSpray, a Lagrangian Particle Model of Turbulent Dispersion (pages 311–328): G. Tinarelli, L. Mortarini, S. Trini Castelli, G. Carlino, J. Moussafir, C. Olry, P. Armand and D. AnfossiChapter 26 Lagrangian Models for Nuclear Studies: Examples and Applications (pages 329–348): 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