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Stochastic climate theory: models and applications [Libro electrónico] / autor: Serguei G. Dobrovolski

Por: Dobrovolski, Serguei G [autor/a].
Tipo de material: Libro
 en línea Libro en línea Editor: New York, New York, United States: Springer, c2000Descripción: xiii, 282 páginas : ilustraciones ; 24 centímetros.ISBN: 354066310X; 9783642085581 (Print); 9783662041192 (Online).Tema(s): Climatic changes -- Mathematical models | Stochastic processesNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice: páginas 263-277 Número de sistema: 56466Contenidos:Mostrar Resumen:
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The author describes the stochastic (probabilistic) approach to the study of changes in the climate system. Climatic data and theoretical considerations suggest that a large part of climatic variation/variability has a random nature and can be analyzed using the theory of stochastic processes. This work summarizes the results of processing existing records of climatic parameters as well as appropriate theories: from the theory of random processes (based on the results of Kolmogorov and Yaglom) and Hasselmann's "stochastic climate model theory" to recently obtained results.

Recurso en línea: http://link.springer.com/openurl?genre=book&isbn=978-3-642-08558-1
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Incluye bibliografía e índice: páginas 263-277

1. Introduction.. 2. Climatic system: data, processes, scales, and deterministic models.. 3. Theoretical foundations of the stochastic approach to climate variability studies.. 4. Stochastic models of recent climatic changes.. 5. Stochastic models for glacial cycles.. 6. Conclusion.. Index

Disponible para usuarios de ECOSUR con su clave de acceso

The author describes the stochastic (probabilistic) approach to the study of changes in the climate system. Climatic data and theoretical considerations suggest that a large part of climatic variation/variability has a random nature and can be analyzed using the theory of stochastic processes. This work summarizes the results of processing existing records of climatic parameters as well as appropriate theories: from the theory of random processes (based on the results of Kolmogorov and Yaglom) and Hasselmann's "stochastic climate model theory" to recently obtained results. eng

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