Climate Time Series Analysis

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.

ISBN 9048194814   Pages 508 ISBN13 9789048194810 (What's this?)   Weight (grammes) 1960 Publisher Springer   Published in Dordrecht Imprint Springer   Series title Atmospheric and Oceanographic Sciences Library Format Hardback   Height (mm) 234 Publication date 15 Sep 2010   Width (mm) 156 DEWEY 551.60287   Spine width (mm) 28 DEWEY edition DC22   Academic level Professional / Scholarly

1. Introduction.- 2. Persistence models.- 3. Bootstrap confidence intervals.- 4. Regression.- 5. Spectral analysis.- 6. Extreme value time series.- 7. Correlation.- 8. Regression.- 9. Future directions.

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