Analysis of climate variability: applications of statistical techniques [Libro electrónico] / editores: Hans Storch, Antonio Navarra
Storch, Hans [editor] | Navarra, Antonio [editor/a].
Tipo de material: Libro en línea Editor: New York, New York, United State: Springer, c1995Descripción: xv, 334 páginas : ilustraciones mapas ; 25 centímetros.ISBN: 354058918X; 9783662031698 (Print); 9783662031674 (Online).Otro título: proceedings of an autumn school organized by the commission of the European Community on Elba from October 30 to November 6, 1993 [Título paralelo].Tema(s): Climatic changes -- Statistical methods -- CongressesNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice: páginas 299-327 Número de sistema: 56426Contenidos:Mostrar Resumen:Tipo de ítem | Biblioteca actual | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras |
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Libros | Biblioteca Electrónica Recursos en línea (RE) | Acervo General | Recurso digital | ECO400564262254 |
Incluye bibliografía e índice: páginas 299-327
Chapter 1. Introduction.. 1. The development of climate research.. 2. Misuses of statistical analysis in climate research.. Chapter 2. Analyzing the observed climate.. 3. Climate spectra and stochastic climate models.. 4. The instrumental data record: its accuracy and use in attempts 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.. Chapter 3. Simulating and predicting climate.. 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 .. Chapter 4. Pattern analy.. 12. Teleconnections 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.. Index
Disponible para usuarios de ECOSUR con su clave de acceso
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 all time and space scales and the availability of essentially one observational record, are needed to guide the researcher in choosing the right approach to obtain meaningful answers. Aspects covered are the examination of the observational record based on instrumental and proxy data, the concept of stochastic climate models and the confirmation of dynamic climate models, the evaluation of forecasts and pattern-related analytical techniques such as empirical orthogonal functions, teleconnections, singular spectrum analysis and principal oscillation patterns. The book is a collection of the contributions given during an "autumn school" on "Statistical Analysis in Climate Research" supported by the European Community. eng
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