{"product_id":"lagrangian-modeling-of-the-atmosphere-isbn-9780875904900","title":"Lagrangian Modeling of the Atmosphere","description":"\u003cp\u003ePublished by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 200.\u003cbr\u003e \u003cbr\u003e 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.\u003cbr\u003e \u003cbr\u003e \u003ci\u003eLagrangian Modeling of the Atmosphere\u003c\/i\u003e is a comprehensive volume that includes sections on Lagrangian modeling theory, model applications, and tests against observations.\u003cbr\u003e \u003cbr\u003e Published by the American Geophysical Union as part of the \u003ci\u003eGeophysical Monograph Series\u003c\/i\u003e.\u003cbr\u003e \u003cbr\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003eComprehensive coverage of trajectory-based atmospheric dispersion modeling\u003c\/li\u003e \u003cli\u003eImportant overview of a widely used modeling tool\u003c\/li\u003e \u003cli\u003eSections look at modeling theory, application of models, and tests against observations\u003c\/li\u003e \u003c\/ul\u003e  \u003cp\u003ePreface\u003cbr\u003e \u003ci\u003eJohn C. Lin, Dominik Brunner, and Christoph Gerbig\u003c\/i\u003e vii\u003c\/p\u003e \u003cp\u003eLagrangian Modeling of the Atmosphere: An Introduction\u003cbr\u003e \u003ci\u003eJohn C. Lin\u003c\/i\u003e 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection I: Turbulent Dispersion: Theory and Parameterization\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTurbulent Dispersion: Theory and Parameterization—Overview\u003cbr\u003e \u003ci\u003eAshok K. Luhar\u003c\/i\u003e 15\u003c\/p\u003e \u003cp\u003eHistory of Lagrangian Stochastic Models for Turbulent Dispersion\u003cbr\u003e \u003ci\u003eD. J. Thomson and J. D. Wilson\u003c\/i\u003e 19\u003c\/p\u003e \u003cp\u003eLagrangian Particle Modeling of Dispersion in Light Winds\u003cbr\u003e \u003ci\u003eAshok K. Luhar\u003c\/i\u003e 37\u003c\/p\u003e \u003cp\u003e\"Rogue Velocities\" in a Lagrangian Stochastic Model for Idealized Inhomogeneous Turbulence\u003cbr\u003e \u003ci\u003eJohn D. Wilson\u003c\/i\u003e 53\u003c\/p\u003e \u003cp\u003eHow Can We Satisfy the Well-Mixed Criterion in Highly Inhomogeneous Flows? A Practical Approach\u003cbr\u003e \u003ci\u003eJohn C. Lin and Christoph Gerbig\u003c\/i\u003e 59\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection II: Transport in Geophysical Fluids\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTransport in Geophysical Fluids—Overview\u003cbr\u003e \u003ci\u003ePeter Haynes\u003c\/i\u003e 73\u003c\/p\u003e \u003cp\u003eOut of Flatland: Three-Dimensional Aspects of Lagrangian Transport in Geophysical Fluids\u003cbr\u003e \u003ci\u003eMohamed H. M. Sulman, Helga S. Huntley, B. L. Lipphardt Jr., and A. D. Kirwan Jr\u003c\/i\u003e 77\u003c\/p\u003e \u003cp\u003eA Lagrangian Method for Simulating Geophysical Fluids\u003cbr\u003e \u003ci\u003ePatrick Haertel\u003c\/i\u003e 85\u003c\/p\u003e \u003cp\u003eEntropy-Based and Static Stability–Based Lagrangian Model Grids\u003cbr\u003e \u003ci\u003ePaul Konopka, Felix Ploeger, and Rolf Müller\u003c\/i\u003e 99\u003c\/p\u003e \u003cp\u003eMoisture Sources and Large-Scale Dynamics Associated With a Flash Flood Event\u003cbr\u003e \u003ci\u003eMargarida L. R. Liberato, Alexandre M. Ramos, Ricardo M. Trigo, Isabel F. Trigo, Ana María Durán-Quesada, Raquel Nieto, and Luis Gimeno\u003c\/i\u003e 111\u003c\/p\u003e \u003cp\u003eThe Association Between the North Atlantic Oscillation and the Interannual Variability of the Tropospheric Transport Pathways in Western Europe\u003cbr\u003e \u003ci\u003eJ. A. G. Orza, M. Cabello, V. Galiano, A. T. Vermeulen, and A. F. Stein\u003c\/i\u003e 127\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection III: Applications of Lagrangian Modeling: Greenhouse Gases\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eApplications of Lagrangian Modeling: Greenhouse Gases—Overview\u003cbr\u003e \u003ci\u003eChristoph Gerbig\u003c\/i\u003e 145\u003c\/p\u003e \u003cp\u003eEstimating Surface-Air Gas Fluxes by Inverse Dispersion Using a Backward Lagrangian Stochastic Trajectory Model\u003cbr\u003e \u003ci\u003eJ. D. Wilson, T. K. Flesch, and B. P. Crenna\u003c\/i\u003e 149\u003c\/p\u003e \u003cp\u003eLinking Carbon Dioxide Variability at Hateruma Station to East Asia Emissions by Bayesian Inversion\u003cbr\u003e \u003ci\u003eJiye Zeng, Hideaki Nakajima, Tsuneo Matsunaga, Hitoshi Mukai, Kaduo Hiraki, and Yasuhiro Yokota\u003c\/i\u003e 163\u003c\/p\u003e \u003cp\u003eThe Use of a High-Resolution Emission Data Set in a Global Eulerian-Lagrangian Coupled Model\u003cbr\u003e \u003ci\u003eT. 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\u003c\/i\u003e 173\u003c\/p\u003e \u003cp\u003eToward Assimilation of Observation-Derived Mixing Heights to Improve Atmospheric Tracer Transport Models\u003cbr\u003e \u003ci\u003eRoberto Kretschmer, Frank-Thomas Koch, Dietrich G. Feist, Gionata Biavati, Ute Karstens, and Christoph Gerbig\u003c\/i\u003e 185\u003c\/p\u003e \u003cp\u003eEstimating European Halocarbon Emissions Using Lagrangian Backward Transport Modeling and in Situ Measurements at the Jungfraujoch High-Alpine Site\u003cbr\u003e \u003ci\u003eDominik Brunner, Stephan Henne, Christoph A. Keller, Martin K. Vollmer, Stefan Reimann, and Brigitte Buchmann\u003c\/i\u003e 207\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection IV: Atmospheric Chemistry\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAtmospheric Chemistry in Lagrangian Models—Overview\u003cbr\u003e \u003ci\u003eDominik Brunner\u003c\/i\u003e 225\u003c\/p\u003e \u003cp\u003eGlobal-Scale Tropospheric Lagrangian Particle Models With Linear Chemistry\u003cbr\u003e \u003ci\u003eS. Henne, C. Schnadt Poberaj, S. Reimann, and D. Brunner\u003c\/i\u003e 235\u003c\/p\u003e \u003cp\u003eQuantitative Attribution of Processes Affecting Atmospheric Chemical Concentrations by Combining a Time-Reversed Lagrangian Particle Dispersion Model and a Regression Approach\u003cbr\u003e \u003ci\u003eJoshua Benmergui, Sangeeta Sharma, Deyong Wen, and John C. Lin\u003c\/i\u003e 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection V: Operational\/Emergency Modeling\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOperational Emergency Preparedness Modeling—Overview\u003cbr\u003e \u003ci\u003eAndreas Stohl\u003c\/i\u003e 267\u003c\/p\u003e \u003cp\u003eOperational Volcanic Ash Cloud Modeling: Discussion on Model Inputs, Products, and the Application of Real-Time Probabilistic Forecasting\u003cbr\u003e \u003ci\u003eP. W. Webley and T. Steensen\u003c\/i\u003e 271\u003c\/p\u003e \u003cp\u003eA Bayesian Method to Rank Different Model Forecasts of the Same Volcanic Ash Cloud\u003cbr\u003e \u003ci\u003eRoger P. Denlinger, Peter Webley, Larry G. Mastin, and Hans Schwaiger\u003c\/i\u003e 299\u003c\/p\u003e \u003cp\u003eReview and Validation of MicroSpray, a Lagrangian Particle Model of Turbulent Dispersion\u003cbr\u003e \u003ci\u003eG. Tinarelli, L. Mortarini, S. Trini Castelli, G. Carlino, J. Moussafir, C. Olry, P. Armand, and D. Anfossi\u003c\/i\u003e 311\u003c\/p\u003e \u003cp\u003eLagrangian Models for Nuclear Studies: Examples and Applications\u003cbr\u003e \u003ci\u003eD. 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\u003c\/i\u003e 329\u003c\/p\u003e \u003cp\u003eAGU Category Index 349\u003c\/p\u003e  \u003cb\u003eJohn Lin\u003c\/b\u003e gained his qualifications in Biology and Earth \u0026amp; Planetary Sciences at Harvard University.\u003cbr\u003e He is currently Associate Professor at the Department of Earth \u0026amp; Environmental Sciences at the University of Waterloo, Canada and is an Editorial Board Member for \u003ci\u003eScientific Reports\u003c\/i\u003e. 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