Analysis of Climate Variability: Applications of Statistical Techniques Proceedings of an Autumn School Organized by the Commission of the European Co

ISBN-13: 9783540663157 / Angielski / Twarda / 1999 / 342 str.

H. V. Storch; A. Navarra; H. Von Storch

Opis

This volume has grown from an Autumn School about "Analysis of Climat Variability - Applications of Statistical techniques" on Elba in November 1993. We have included those lectures which referred explicitly to appli cations of statistical techniques in climate science, since we felt that general descriptions of statistical methods, both at the introductory and at advanced level, are already available. We tried to stress the application side, discussing many examples dealing with the analysis of observed data and with the eval uation of model results (Parts I and II). Some effort is also devoted to the treatment of various techniques of pattern analysis (Part III). Methods like teleconnections, EOF, SSA, CCA and POP are becoming routine tools for the climate researcher and it is probably important for graduate students to be exposed to them early in their academic career in a hopefully clear and concise way. A short subject index is included at the end of the volume to assist the reader in the search of selected topics. Rather than attempting to reference every possible occurrence of some topic we have preferred to indicate the page where that topic is more extensively discussed. The Autumn School was part of the training and education activities of the European Programme on Climatology and Natural Hazards (EPOCH), and is continued under the subsequent research programme (ENVIRONMENT 1990-1994). It aimed at students in general, taking first and second year courses at the graduate level.

Spis treści

1 The Development of Climate Research.- 2 Misuses of Statistical Analysis in Climate Research.- 3 Climate Spectra and Stochastic Climate Models.- 4 The Instrumental Data Record: Its Accuracy and Use in ttempts to Identify the “CO2 Signal”.- 5 Interpreting High-Resolution Proxy Climate Data — The Example of Dendroclimatology.- 6 Analysing the.Boreal Summer Relationship Between Worldwide Sea-Surface Temperature and Atmospheric Variability.- 7 The Simulation of Weather Types in GCMs: A Regional Approach to Control-Run Validation.- 8 Statistical Analysis of GCM Output.- 9 Field Intercomparison.- 10 The Evaluation of Forecasts.- 11 Stochastic Modeling of Precipitation with Applications to Climate Model Downscaling.- 12 Teleconnection Patterns.- 13 Spatial Patterns: EOFs and CCA.- 14 Patterns in Time: SSA and MSSA.- 15 Multivariate Statistical Modeling: POP-Model as a First Order Approximation.- References.- Abbreviations.

O autorze

Prof. Dr. Hans von Storch ist Direktor des Instituts für Küstenforschung, GKSS, Geesthacht und lehrt am Institut für Meteorologie der Universität Hamburg.

Blurb

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. Instead, good physical understanding of the specific problems in climate research, such as the enormous size of the phase space, the correlation of processes on different time and space scales and the availability of essentially one observational record, 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 the general principles that made the first edition a popular choice. 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.