Time series analysis in climatology and related sciences / Victor Privalsky.
Privalʹskiĭ, V. E. (Viktor Evseevich), author.
2021
QA280
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Title Time series analysis in climatology and related sciences / Victor Privalsky.
Author Privalʹskiĭ, V. E. (Viktor Evseevich), author.
ISBN 3030580555 electronic book
9783030580551 (electronic bk.)
9783030580544 paperback
3030580547
DOI https://doi.org/10.1007/978-3-030-58055-1
Published Cham, Switzerland : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource (xiv, 245 pages) : illustrations
Other Standard Identifiers 10.1007/978-3-030-58055-1 doi
Call Number QA280
Dewey Decimal Classification 519.5/5
Summary This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data. As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.-- Provided by publisher.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Historical Data Victor Privalsky, Water Problems Institute, Russian Academy of Sciences, Moscow, Russia.
Source of Description Description based on print version record.
Series Progress in geophysics.
Available in Other Form Time series analysis in climatology and related sciences.
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1. Introduction
2. Basics of scalar random processes
3. Time and frequency domain models of scalar time series
4. Practical analysis of time Series
5. Stochastic models and spectra of climatic and related time series
6. Statistical forecasting of geophysical processes
7. Bivariate time series analysis
8. Teleconnection research and bivariate extrapolation
9. Reconstruction of time series
10. Frequency domain structure and feedbacks in QBO time series
11. Verification of general circulation models
12. Applications to proxy data
13. Application to sunspot numbers and total solar irradiance
14. Multivariate time and frequency domain analysis
15. Summary and recommendations.

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