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Author: Eugenia Kalnay
Publisher: Cambridge University Press
ISBN: 9780521796293
Category : Mathematics
Languages : en
Pages : 368
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Book Description
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.
Author: Eugenia Kalnay
Publisher: Cambridge University Press
ISBN: 9780521796293
Category : Mathematics
Languages : en
Pages : 368
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Book Description
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.
Author: Mark Z. Jacobson
Publisher: Cambridge University Press
ISBN: 052183970X
Category : Science
Languages : en
Pages : 829
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Book Description
Publisher Description
Author: Guy P. Brasseur
Publisher: Cambridge University Press
ISBN: 1108210953
Category : Science
Languages : en
Pages : 631
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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.
Author: Peter H. Lauritzen
Publisher: Springer Science & Business Media
ISBN: 364211640X
Category : Mathematics
Languages : en
Pages : 570
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Book Description
This book surveys recent developments in numerical techniques for global atmospheric models. It is based upon a collection of lectures prepared by leading experts in the field. The chapters reveal the multitude of steps that determine the global atmospheric model design. They encompass the choice of the equation set, computational grids on the sphere, horizontal and vertical discretizations, time integration methods, filtering and diffusion mechanisms, conservation properties, tracer transport, and considerations for designing models for massively parallel computers. A reader interested in applied numerical methods but also the many facets of atmospheric modeling should find this book of particular relevance.
Author: Mark Z. Jacobson
Publisher: Cambridge University Press
ISBN: 9780521637176
Category : Science
Languages : en
Pages : 676
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Book Description
Comprehensive graduate text describing the atmospheric processes, numerical methods, and computational techniques needed for those studying air pollution and meteorology.
Author: John Lin
Publisher: John Wiley & Sons
ISBN: 1118704398
Category : Science
Languages : en
Pages : 591
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Book Description
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
Author: Douw G. Steyn
Publisher: Cambridge University Press
ISBN: 1107499798
Category : Mathematics
Languages : en
Pages : 117
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Book Description
A compact yet comprehensive self-study guide that explores the power of mathematics to help us understand complex atmospheric phenomena.
Author: Alex Joseph DeCaria
Publisher:
ISBN: 9780972903349
Category : Atmospheric models
Languages : en
Pages : 320
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Book Description
This book is written for advanced undergraduates and graduates in atmospheric science. It introduces students to the essentials of finite-difference methods, numerical stability, spectral methods, data assimilation and initialization, boundary conditions, and parameterization of subgrid-scale phenomenon. It also covers more advanced topics such as finite-volume methods, semi-Lagrangian and semi-implicit schemes, and chemical transport modeling. Practical programming and written exercises are included.
Author: Andrew Gettelman
Publisher: Springer
ISBN: 3662489597
Category : Technology & Engineering
Languages : en
Pages : 282
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Book Description
This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.
Author: Leo Donner
Publisher: Cambridge University Press
ISBN: 0521190061
Category : Mathematics
Languages : en
Pages : 289
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Book Description
Presents unique perspectives from leading researchers on the development and application of atmospheric general circulation models. It is a core reference for academic researchers and professionals involved in atmospheric physics, meteorology and climate science, and a resource for graduate-level courses in climate modeling and numerical weather prediction.
