Overview
- Provides an overview of cutting-edge mathematical theories and techniques that promise to play a central role in climate science
- Offers a truly interdisciplinary approach, bringing together researchers with distinct views and methods
- Emphasizes the growing importance of data assimilation techniques for climate modelling
Part of the book series: Springer INdAM Series (SINDAMS, volume 15)
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About this book
This book, featuring a truly interdisciplinary approach, provides an overview of cutting-edge mathematical theories and techniques that promise to play a central role in climate science. It brings together some of the most interesting overview lectures given by the invited speakers at an important workshop held in Rome in 2013 as a part of MPE2013 (“Mathematics of Planet Earth 2013”). The aim of the workshop was to foster the interaction between climate scientists and mathematicians active in various fields linked to climate sciences, such as dynamical systems, partial differential equations, control theory, stochastic systems, and numerical analysis. Mathematics and statistics already play a central role in this area. Likewise, computer science must have a say in the efforts to simulate the Earth’s environment on the unprecedented scale of petabytes. In the context of such complexity, new mathematical tools are needed to organize and simplify the approach. The growing importance of data assimilation techniques for climate modeling is amply illustrated in this volume, which also identifies important future challenges.
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Keywords
Table of contents (10 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical Paradigms of Climate Science
Editors: Fabio Ancona, Piermarco Cannarsa, Christopher Jones, Alessandro Portaluri
Series Title: Springer INdAM Series
DOI: https://doi.org/10.1007/978-3-319-39092-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-39091-8Published: 14 November 2016
Softcover ISBN: 978-3-319-81815-3Published: 03 May 2018
eBook ISBN: 978-3-319-39092-5Published: 07 November 2016
Series ISSN: 2281-518X
Series E-ISSN: 2281-5198
Edition Number: 1
Number of Pages: X, 228
Number of Illustrations: 7 b/w illustrations, 29 illustrations in colour
Topics: Mathematical Applications in the Physical Sciences, Systems Theory, Control, Earth System Sciences, Geophysics and Environmental Physics, Applications of Nonlinear Dynamics and Chaos Theory