- Publisher: Cambridge University Press
- Online publication date: July 2019
- Print publication year: 2019
- Online ISBN: 9781108693882
- DOI: https://doi.org/10.1017/9781108693882
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.
Kerry A. Emanuel - Massachusetts Institute of Technology
Geoffrey Vallis - University of Exeter
Donald J. Wuebbles - University of Illinois, Urbana-Champaign
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