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Climate Mathematics: Theory and Applications by Samuel S. P. Shen

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Description

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making it a highly flexible text for undergraduate and graduate students, as well as researchers and professional climate scientists who need to refresh or modernize their quantitative skills.

Presents the core mathematics, statistics, and programming skills needed for modern climate science courses, with online teaching materials.

About the Author
Samuel S. P. Shen is Distinguished Professor of Mathematics and Statistics at San Diego State University, and Visiting Research Mathematician at the Scripps Institution of Oceanography, University of California, San Diego. Formerly, he was McCalla Professor of Mathematical and Statistical Sciences at the University of Alberta, Canada, and President of the Canadian Applied and Industrial Mathematics Society. He has held a variety of visiting positions at the NASA Goddard Space Flight Center, the US Climate Prediction Center, and the University of Tokyo. Richard C. J. Somerville is Distinguished Professor Emeritus at the Scripps Institution of Oceanography, University of California, San Diego. His is a Fellow of the American Association for the Advancement of Science (AAAS), the American Geophysical Union (AGU), and the American Meteorological Society (AMS). His awards include the Climate Communication Prize (2015) and the Ambassador Award (2017) from AGU. He is a leading authority on the prospects for climate change in coming decades and is a coordinating lead author of the Intergovernmental Panel on Climate Change.

Reviews
'Climate Mathematics is an engaging work that provides students of climate science with the most essential mathematical and computational tools of the trade. This may well prove the most useful text they will encounter on the road to becoming climate scientists.' Kerry A. Emanuel, Massachusetts Institute of Technology
'Combining traditional techniques with the judicious use of computer codes, Shen and Somerville show how mathematics is intimately connected with the science, and how it can be used to address climate problems occurring in the real world. The book is user-friendly for the beginner, but pays due attention to detail for the more advanced student. Taken with the extensive online resources, it brings a fresh new perspective to our curriculum that students and instructors will surely value.' Geoffrey Vallis, University of Exeter
'This book provides a timely introduction to the mathematical approaches and statistical techniques that students will need to understand climate change and how to respond to its impacts. I especially like how it gets students into using the important programming capabilities of R and Python to do such analyses. Climate Mathematics is a wonderful resource - one I will use myself and recommend to all of our students.' Donald J. Wuebbles, University of Illinois, Urbana-Champaign



Book Information
ISBN 9781108476874
Author Samuel S. P. Shen
Format Hardback
Page Count 456
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 1070g
Dimensions(mm) 254mm * 200mm * 24mm

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