Statistical Methods for Climate Scientists (Hardcover, New Ed)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	February 2022
Authors:	Timothy DelSole • Michael Tippett
Dimensions:	250 x 173 x 28mm (L x W x T)
Format:	Hardcover
Pages:	542
Edition:	New Ed
ISBN-13:	978-1-108-47241-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Infinite series Books > Earth & environment > Earth sciences > The hydrosphere > Oceanography (seas) Books > Earth & environment > Earth sciences > Meteorology > General Books > Earth & environment > The environment > Pollution & threats to the environment > Global warming Promotions
LSN:	1-108-47241-9
Barcode:	9781108472418

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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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