A comprehensive introduction to the most commonly used statistical
methods relevant in atmospheric, oceanic and climate sciences. Each
method is described step-by-step using plain language, and
illustrated with concrete examples, with relevant statistical and
scientific concepts explained as needed. Particular attention is
paid to nuances and pitfalls, with sufficient detail to enable the
reader to write relevant code. 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. The specific statistical
challenges that arise in climate applications are also discussed,
including model selection problems associated with Canonical
Correlation Analysis, Predictable Component Analysis, and
Covariance Discriminant Analysis. Requiring no previous background
in statistics, this is a highly accessible textbook and reference
for students and early-career researchers in the climate sciences.
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Review This Product
Thu, 21 Jul 2022 | Review
by: nadia J.
I am very happy with my purchase, it is what I expected. The book was a recommended by others in the field. With regards the content, it has lots of examples and concepts are explanatory.
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