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

Por: Tipo de material: TextoTextoIdioma: Inglés Detalles de publicación: New York, New York, United States Springer c2000Descripción: xiii, 282 páginas ilustraciones 24 centímetrosISBN:
  • 354066310X
  • 9783642085581 (Print)
  • 9783662041192 (Online)
Tema(s): Recursos en línea: Formatos físicos adicionales disponibles:
  • Disponible en línea
Contenidos parciales:
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
Resumen: 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.
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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

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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. Inglés

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