Mathematical and physical fundamentals of climate change
Author(s)
Bibliographic Information
Mathematical and physical fundamentals of climate change
Elsevier, c2015
- : [hbk]
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
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  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
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  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
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  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
Mathematical and Physical Fundamentals of Climate Change is the first book to provide an overview of the math and physics necessary for scientists to understand and apply atmospheric and oceanic models to climate research. The book begins with basic mathematics then leads on to specific applications in atmospheric and ocean dynamics, such as fluid dynamics, atmospheric dynamics, oceanic dynamics, and glaciers and sea level rise. Mathematical and Physical Fundamentals of Climate Change provides a solid foundation in math and physics with which to understand global warming, natural climate variations, and climate models. This book informs the future users of climate models and the decision-makers of tomorrow by providing the depth they need. Developed from a course that the authors teach at Beijing Normal University, the material has been extensively class-tested and contains online resources, such as presentation files, lecture notes, solutions to problems and MATLab codes.
Table of Contents
Preface: Interdisciplinary Approaches to Climate Change Research1. Fourier Analysis2. Time-Frequency Analysis3. Filter Design4. Remote Sensing5. Basic Probability and Statistics6. Empirical Orthogonal Functions (EOFs)7. Random Processes and Power Spectra8. Autoregressive Moving Average (ARMA) Models9. Data Assimilation10. Fluid Dynamics11. Atmospheric Dynamics12. Oceanic Dynamics13. Glaciers and Sea Level Rise14. Climate and Earth System Models
by "Nielsen BookData"