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Global Physical Climatology is an introductory text devoted to the fundamental physical principles and problems of climate sensitivity and change. Addressing some of the most critical issues in climatology, this text features incisive coverage of topics that are central to understanding orbital parameter theory for past climate changes, and for anthropogenic and natural causes of near-future changes--
Key Features
* Covers the physics of climate change
* Examines the nature of the current climate and its previous changes
* Explores the sensitivity of climate and the mechanisms by
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Produktbeschreibung
Global Physical Climatology is an introductory text devoted to the fundamental physical principles and problems of climate sensitivity and change. Addressing some of the most critical issues in climatology, this text features incisive coverage of topics that are central to understanding orbital parameter theory for past climate changes, and for anthropogenic and natural causes of near-future changes--

Key Features
* Covers the physics of climate change
* Examines the nature of the current climate and its previous changes
* Explores the sensitivity of climate and the mechanisms by which humans are likely to produce near-future climate changes
* Provides instructive end-of-chapter exercises and appendices

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Autorenporträt
Professor D.L. Hartmann received his BS degree in Mechanical Engineering from the University of Portland, and his PhD in Geophysical Fluid Dynamics from Princeton University. After postdoctoral appointments at McGill University and the National Center for Atmospheric Research, he joined the faculty of the University of Washington, where he is currently a professor in the Department of Atmospheric Sciences, and Senior Fellow of the Joint Institute for the Study of the Atmosphere and Ocean.

Professor Hartmann's research interests include dynamics of the atmosphere, atmosphere-ocean interaction, climate feedback processes and climate change. His primary areas of expertise are atmospheric dynamics, radiation and remote sensing, and mathematical and statistical techniques for data analysis.