Overview
- Solely devoted to time series analysis in climatological and meteorological research
- Introduces the bootstrap approach for extracting quantitative climatological information which relies on modern computer power
- Describes software implementation of the methods and brings real-world illustrating examples
- Provides statistical background and an up-to-date overview of similar applications in Earth Sciences
Part of the book series: Atmospheric and Oceanographic Sciences Library (ATSL, volume 42)
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About this book
Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation.
This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.
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Table of contents (9 chapters)
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Front Matter
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Fundamental Concepts
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Front Matter
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Univariate Time Series
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Front Matter
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Bivariate Time Series
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Front Matter
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Outlook
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Manfred Mudelsee received his diploma in Physics from the University of Heidelberg and his doctoral degree in Geology from the University of Kiel. He was then postdoc in Statistics at the University of Kent at Canterbury, research scientist in Meteorology at the University of Leipzig and visiting scholar in Earth Sciences at Boston University; currently he does climate research at the Alfred Wegener Institute for Polar and Marine Research, Bremerhaven. His science focuses on climate extremes, time series analysis and mathematical simulation methods. He has authored over 50 peer-reviewed articles. In his 2003 Nature paper, Mudelsee introduced the bootstrap method to flood risk analysis. In 2005, he founded the company Climate Risk Analysis.
Bibliographic Information
Book Title: Climate Time Series Analysis
Book Subtitle: Classical Statistical and Bootstrap Methods
Authors: Manfred Mudelsee
Series Title: Atmospheric and Oceanographic Sciences Library
DOI: https://doi.org/10.1007/978-90-481-9482-7
Publisher: Springer Dordrecht
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2010
Softcover ISBN: 978-94-007-3313-8Published: 06 November 2012
eBook ISBN: 978-90-481-9482-7Published: 26 August 2010
Series ISSN: 1383-8601
Series E-ISSN: 2215-162X
Edition Number: 1
Number of Pages: XXXIV, 474
Topics: Climate Change, Meteorology, Statistical Theory and Methods