Mathematical Methods in the Earth and Environmental Sciences
Mathematical Methods in the Earth and Environmental Sciences by Adrian Burd, published by Cambridge University Press on April 18, 2019, is a comprehensive resource designed for students and early career researchers. This edition spans 596 pages and is presented in English. The book offers an accessible introduction to the mathematical methods that are increasingly vital for understanding Earth processes, reflecting the growing quantitative nature of the Earth and environmental sciences.
Readers will find a structured approach that begins with fundamental concepts such as calculus and progresses to more complex topics like linear algebra and differential equations. The practical applications of these mathematical methods are explored across various fields, including atmospheric science, oceanography, biogeochemistry, and geophysics. With over 530 exercises and end-of-chapter problems, along with additional computer codes in Python and MATLAB®, this book aids readers in applying analytical and computational techniques to address real research questions.
Official synopsis Publisher
The Earth and environmental sciences are becoming progressively more quantitative due to the increased use of mathematical models and new data analysis techniques. This accessible introduction presents an overview of the mathematical methods essential for understanding Earth processes, providing an invaluable resource for students and early career researchers who may have missed (or forgotten) the mathematics they need to succeed as scientists. Topics build gently from basic methods such as calculus to more advanced techniques including linear algebra and differential equations. The practical applications of the mathematical methods to a variety of topics are discussed, ranging from atmospheric science and oceanography to biogeochemistry and geophysics. Including over 530 exercises and end-of-chapter problems, as well as additional computer codes in Python and MATLAB®, this book supports readers in applying appropriate analytical or computational methods to solving real research questions.
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