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A Guide to Empirical Orthogonal Functions for Climate Data AnalysisBasic Statistical Concepts

A Guide to Empirical Orthogonal Functions for Climate Data Analysis: Basic Statistical Concepts [A key scientific challenge is to better understand the functioning of the environment. Informed analysis of observations can make a strong contribution to this goal. The most insightful analysis requires knowledge of the relevant environmental processes and of statistical methodologies, that can lead the analyst towards a true understanding.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Guide to Empirical Orthogonal Functions for Climate Data AnalysisBasic Statistical Concepts

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References (1)

Publisher
Springer Netherlands
Copyright
© Springer Science+Business Media B.V. 2010
ISBN
978-90-481-3701-5
Pages
25 –37
DOI
10.1007/978-90-481-3702-2_3
Publisher site
See Chapter on Publisher Site

Abstract

[A key scientific challenge is to better understand the functioning of the environment. Informed analysis of observations can make a strong contribution to this goal. The most insightful analysis requires knowledge of the relevant environmental processes and of statistical methodologies, that can lead the analyst towards a true understanding.]

Published: Nov 27, 2009

Keywords: Serial Correlation; Standardize Variable; Gridded Dataset; Climate Observation; Population Standard Deviation

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