Description
Book SynopsisOver 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 bookprovides an overview of applications of network theory to climatevariability, such as the El Niño/Southern Oscillation and the Indian Monsoon, presenting recent important results obtained with these techniques andshowing their potential for further development and research. The book is aimed at researchers and graduate students inclimate 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 ContentsPreface; 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.
