TimothyDelSole,MichaelTippett
Statistical Methods for Climate Scientists
Statistical Methods for Climate Scientists
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This textbook provides a comprehensive introduction to statistical methods used in atmospheric, oceanic, and climate sciences, with a focus on climate applications. It covers hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. It is designed for students and early-career researchers with no previous background in statistics and is highly accessible.
Format: Hardback
Length: 542 pages
Publication date: 24 February 2022
Publisher: Cambridge University Press
A comprehensive guide to the most widely employed statistical techniques in atmospheric, oceanic, and climate sciences is presented here. Each method is thoroughly explained step-by-step using straightforward language, accompanied by concrete examples, and relevant statistical and scientific concepts are clarified as necessary. Special emphasis is placed on nuances and potential pitfalls, providing ample detail to enable readers to write effective code. The topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Furthermore, the book delves into the specific statistical challenges encountered in climate applications, such as model selection issues related to Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. This textbook is designed to be accessible to students and early-career researchers in the climate sciences, without requiring prior knowledge in statistics.
Weight: 1166g
Dimension: 177 x 250 x 30 (mm)
ISBN-13: 9781108472418
Edition number: New ed
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