Stochastic climate theory: models and applications [Libro electrónico] / autor: Serguei G. Dobrovolski
Por: Dobrovolski, Serguei G [autor/a].
Tipo de material:![Libro
en línea](/opac-tmpl/lib/famfamfam/BK.png)
Tipo de ítem | Biblioteca actual | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras |
---|---|---|---|---|---|---|
Libros | Biblioteca Electrónica Recursos en línea (RE) | Acervo General | Recurso digital | ECO400564667585 |
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
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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. eng
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