Samuel S. P. Shen, Richard C. J. SomervilleCambridge University Press, 9/19/2019EAN 9781108476874, ISBN10: 1108476872Hardcover, 456 pages, 25.4 x 20.1 x 2.3 cmLanguage: EnglishThis 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.1. Dimensional analysis for climate science2. Basics of R programming3. Basic statistical methods for climate data analysis4. Climate data matrices and linear algebra5. Energy balance models for climate6. Calculus applications to climate science Iderivatives7. Calculus applications to climate science IIintegrals8. Conservation laws in climate dynamics9. R graphics for climate science10. Advanced R analysis and plotting EOFs, trends, and global data11. R analysis of incomplete climate dataAppendix A. Dot product of two vectorsAppendix B. Cross product of two vectorsAppendix C. Spherical coordinatesAppendix D. Calculus concepts and methodsAppendix E. Sample solutions to the climate mathematics exercises.
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