Statistical Methods for Climate Scientists

Statistical Methods for Climate Scientists
Timothy DelSole, Michael Tippett
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NZ$ 112.95
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NZ$ 101.66
Hardback
h250 x 173mm - 542pg
24 Feb 2022 UK
International import eta 7-19 days
9781108472418
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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.
Timothy M. DelSole is Professor in the Department of Atmospheric, Oceanic, and Earth Sciences, and Senior Scientist at the Center for Oceanic Atmospheric, and Land Studies, at George Mason University, Virginia. He has published over one hundred peer-reviewed papers in climate science and served as co-Editor-in-Chief of the Journal of Climate. Michael Tippett is an Associate Professor at Columbia University. His research includes forecasting El Nino and relating extreme weather (tornadoes and hurricanes) with climate, now and in the future. He analyzes data from computer models and weather observations to find patterns that improve understanding, facilitate prediction, and help manage risk.
Status: Active
ISBN-13: 9781108472418
Published: 24 Feb 2022
Published In: United Kingdom
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Format: Hardback
Height: 250mm
Width: 173mm
Spine: 28mm
Weight: 1170g
Pages: 542

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