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Modeling of Atmospheric Chemistry
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  • Cited by 12
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    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Romps, David M. 2017. Exact Expression for the Lifting Condensation Level. Journal of the Atmospheric Sciences, Vol. 74, Issue. 12, p. 3891.

    Eastham, Sebastian D. and Jacob, Daniel J. 2017. Limits on the ability of global Eulerian models to resolve intercontinental transport of chemical plumes. Atmospheric Chemistry and Physics, Vol. 17, Issue. 4, p. 2543.

    Eastham, Sebastian D. Long, Michael S. Keller, Christoph A. Lundgren, Elizabeth Yantosca, Robert M. Zhuang, Jiawei Li, Chi Lee, Colin J. Yannetti, Matthew Auer, Benjamin M. Clune, Thomas L. Kouatchou, Jules Putman, William M. Thompson, Matthew A. Trayanov, Atanas L. Molod, Andrea M. Martin, Randall V. and Jacob, Daniel J. 2018. GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications. Geoscientific Model Development, Vol. 11, Issue. 7, p. 2941.

    Yu, Karen Keller, Christoph A. Jacob, Daniel J. Molod, Andrea M. Eastham, Sebastian D. and Long, Michael S. 2018. Errors and improvements in the use of archived meteorological data for chemical transport modeling: an analysis using GEOS-Chem v11-01 driven by GEOS-5 meteorology. Geoscientific Model Development, Vol. 11, Issue. 1, p. 305.

    Zhang, Yuzhong Jacob, Daniel J. Maasakkers, Joannes D. Sulprizio, Melissa P. Sheng, Jian-Xiong Gautam, Ritesh and Worden, John 2018. Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane. Atmospheric Chemistry and Physics, Vol. 18, Issue. 21, p. 15959.

    Zhuang, Jiawei Jacob, Daniel J. and Eastham, Sebastian D. 2018. The importance of vertical resolution in the free troposphere for modeling intercontinental plumes. Atmospheric Chemistry and Physics, Vol. 18, Issue. 8, p. 6039.

    Bowman, Kevin W. Cressie, Noel Qu, Xin and Hall, Alex 2018. A Hierarchical Statistical Framework for Emergent Constraints: Application to Snow‐Albedo Feedback. Geophysical Research Letters,

    Sheng, Jian-Xiong Jacob, Daniel J. Turner, Alexander J. Maasakkers, Joannes D. Sulprizio, Melissa P. Bloom, A. Anthony Andrews, Arlyn E. and Wunch, Debra 2018. High-resolution inversion of methane emissions in the Southeast US using SEAC<sup>4</sup>RS aircraft observations of atmospheric methane: anthropogenic and wetland sources. Atmospheric Chemistry and Physics, Vol. 18, Issue. 9, p. 6483.

    Varon, Daniel J. Jacob, Daniel J. McKeever, Jason Jervis, Dylan Durak, Berke O. A. Xia, Yan and Huang, Yi 2018. Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes. Atmospheric Measurement Techniques, Vol. 11, Issue. 10, p. 5673.

    Turner, Alexander J. Jacob, Daniel J. Benmergui, Joshua Brandman, Jeremy White, Laurent and Randles, Cynthia A. 2018. Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales. Atmospheric Chemistry and Physics, Vol. 18, Issue. 11, p. 8265.

    Cusworth, Daniel H. Jacob, Daniel J. Sheng, Jian-Xiong Benmergui, Joshua Turner, Alexander J. Brandman, Jeremy White, Laurent and Randles, Cynthia A. 2018. Detecting high-emitting methane sources in oil/gas fields using satellite observations. Atmospheric Chemistry and Physics, Vol. 18, Issue. 23, p. 16885.

    Wu, Dien Lin, John C. Fasoli, Benjamin Oda, Tomohiro Ye, Xinxin Lauvaux, Thomas Yang, Emily G. and Kort, Eric A. 2018. A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”). Geoscientific Model Development, Vol. 11, Issue. 12, p. 4843.

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Book description

Mathematical modeling of atmospheric composition is a formidable scientific and computational challenge. This comprehensive presentation of the modeling methods used in atmospheric chemistry focuses on both theory and practice, from the fundamental principles behind models, through to their applications in interpreting observations. An encyclopaedic coverage of methods used in atmospheric modeling, including their advantages and disadvantages, makes this a one-stop resource with a large scope. Particular emphasis is given to the mathematical formulation of chemical, radiative, and aerosol processes; advection and turbulent transport; emission and deposition processes; as well as major chapters on model evaluation and inverse modeling. The modeling of atmospheric chemistry is an intrinsically interdisciplinary endeavour, bringing together meteorology, radiative transfer, physical chemistry and biogeochemistry, making the book of value to a broad readership. Introductory chapters and a review of the relevant mathematics make this book instantly accessible to graduate students and researchers in the atmospheric sciences.


'This exceptional volume by two pioneers in the field covers every essential aspect of atmospheric modeling.'

John Seinfeld - California Institute of Technology

'An impressive and comprehensive description of the theoretical underpinning and practical application of atmospheric chemistry modeling. Soon to be a classic reference for graduate students and researchers in the field.'

Colette L. Heald - Massachusetts Institute of Technology

'Brasseur and Jacob, both world leaders in modelling atmospheric chemistry, have written a thoroughly engaging textbook. The breadth and depth of the material covered in the book is impressive, but a major strength of the book is the ability of the authors to present often complex information in an accessible way. I have no doubt that this book will help educate future generations of scientists and be a reference point for researchers worldwide. It will certainly become a well-thumbed volume on my bookshelf.'

Paul Palmer - University of Edinburgh

'This excellent book provides a comprehensive introduction and reference to modeling of atmospheric chemistry from two of the pioneering authorities in the field. From the historical motivations through to modern-day approaches, the atmospheric physical, chemical and radiative components of the model framework are described. What makes this book particularly relevant and timely is the discussion of the methods for integrating observations and models that are at the forefront of current scientific advancement.'

David P. Edwards - National Center for Atmospheric Research

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