Many issues of contemporary importance in climate science can be explored using techniques from mathematics and statistics. This timely textbook introduces students and researchers to the conceptual models that capture important aspects of the Earth's climate system and the mathematical and statistical techniques that can be applied to their analysis. Topics covered include the Earth's energy balance, temperature distribution, ocean circulation patterns such as El Niño, and the carbon cycle. Among the mathematical and statistical techniques presented are dynamical systems and bifurcation theory, Fourier analysis, conservation laws, regression analysis, and extreme value theory. Each chapter ends with exercises, making this book ideal for advanced undergraduates and beginning graduate students in the mathematical sciences who are familiar with linear algebra, calculus, and basic statistics. It will also appeal to applied mathematicians and statisticians in academia, national laboratories, and public service organisations.
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Hans Kaper is affiliated with Georgetown University and is Co-Director of the Mathematics and Climate Research Network (www.mathclimate.org). He is a Corresponding Member of the Royal Netherlands Academy of Sciences and was named a SIAM Fellow in 2009. Kaper is Editor-in-Chief of SIAM News, a member of the SIAM Committee on Science Policy, and Chair of the SIAM Activity Group on Dynamical Systems. He is interested in the mathematics of physical systems.
Hans Engler is Professor of Mathematics at Georgetown University, where he has been since 1984. He was the Founding Director of Georgetown University's MS program in mathematics and statistics. His research interests are in mathematics, statistics and computing and their applications to physical and societal problems. He also does mathematical and statistical consulting work for government agencies and private companies.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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