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Analysis of Climate Variability: Applications of Statistical Techniques

Handbook / Manual

Edited By: H Storch and A Navarra

342 pages, Figs, tabs


Hardback | Dec 2000 | Edition: 2 | #107142 | ISBN: 3540663150
Availability: Usually dispatched within 2-3 weeks Details
NHBS Price: £219.99 $287/€249 approx

About this book

Various problems in climate research, which require the use of advanced statistical techniques, are considered in this book. The examples emphasize the notion that the knowledge of statistical techniques alone is not sufficient. Good physical understanding of the specific problems in climate research is needed to guide the researcher in choosing the right approach to obtain meaningful answers. The second edition of this book, originally based on contributions given during a school sponsored by the European Union on the Italian island of Elba, continues to be based on these general principles. The general outline has been kept the same, covering aspects such as the examination of the observational record, stochastic climate models, analytical techniques, e.g. EOF, teleconnections and so on, but the chapters have been revised and updated, in some cases extensively, to cover the advances in the field in the years since the first edition.


Introduction. - The Development of Climate Research. - Mususes of Statistical Analysis in Climate Research. - Climate Spectra and Stochastic Climate Models. - The Instrumental Data Record: Its Accuracy and Use in Attempts to Identify the "C02 Signal". - Interpreting High-Resolution Proxy Cliimate Data - The Example of Dendroclimatology. - Analysing the Boreal Summer Relationship Between Worldwide Sea-Surface Temperature and Atmospheric Variability. - The Simulation of Weather Types in GCMs: A Regional Approach to Control-Run Validation. - Statisticla Analysis of GCM Output. - Field Inntercomparison. - The Evaluation of Forecasts. - Stochastic Modeling of Precipitation with Applications to Climate Model Downscaling. - Teleconnections Patterns. - Spatial Patterns: EOFs and CCA. - Patterns in Time: SSA and MSSA. - Multivariate Statistical Modeling: POP-Model as a First Order Approximation. - References. - Abbreviations. - Index.

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