Bibliographic Information

Networks in climate

Henk A. Dijkstra ... [et al.]

Cambridge University Press, 2019

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Note

Includes bibliographical references and index

Other authors: Emilio Hernández-García, Cristina Masoller, Marcelo Barreiro

Description and Table of Contents

Description

Over the last two decades the complex network paradigm has proven to be a fruitful tool for the investigation of complex systems in many areas of science; for example, the Internet, neural networks and social networks. This book provides an overview of applications of network theory to climate variability, such as the El Nino/Southern Oscillation and the Indian Monsoon, presenting recent important results obtained with these techniques and showing their potential for further development and research. The book is aimed at researchers and graduate students in climate science. A basic background in physics and mathematics is required. Several of the methodologies presented here will also be valuable to a broader audience of those interested in network science, for example, from biomedicine, ecology and economics.

Table of Contents

  • Preface
  • Acknowledgments
  • 1. The climate system
  • 2. Climate variability
  • 3. Climate data analysis
  • 4. Climate networks: construction methods and analysis
  • 5. Computational tools for network analysis
  • 6. Applications to atmospheric variability
  • 7. Applications to oceanic variability
  • 8. Climate tipping behaviour
  • 9. Network-based prediction
  • References
  • Index.

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