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Prediction of interannual climate variations Libro electrónico editor: J. Shukla

Tipo de material: Libro
 en línea Libro en línea Idioma: Inglés Series Detalles de publicación: New York, New York, United States Springer-Verlag c1993Descripción: xv, 265 páginas ilustraciones 25 centímetrosISBN:
  • 3540545913
  • 0387545913
  • 9783642769627 (Print)
  • 9783642769603 (Online)
Tema(s) en español: Recurso en línea: Formatos físicos adicionales disponibles:
  • Disponible en línea
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Nota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Resumen:
Inglés

It has been known for some time that the behavior of the short-term fluctuations of the earth's atmosphere resembles that of a chaotic non-linear dynamical system, and that the day-to-day weather cannot be predicted beyond a few weeks. However, it has also been found that the interactions of the atmosphere with the underlying oceans and the land surfaces can produce fluctuations whose time scales are much longer than the limits of deterministic prediction of weather. It is, therefore, natural to ask whether it is possible that the seasonal and longer time averages of climate fluctuations can be predicted with sufficient skill to be beneficial for social and economic applications, even though the details of the day-to-day weather cannot be predicted beyond a few weeks. The main objective of the workshop was to address this question by assessing the current state of knowledge on predictability of seasonal and interannual climate variability and to investigate various possibilities for its prediction.

Número de sistema: 56170
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Libros Biblioteca Electrónica Recursos en línea (RE) Acervo General Recurso digital ECO400561704902

Incluye bibliografía

Chapter 1. Reviews.. Chapter 2. Coupled models.. Chapter 3. Low-frequency variability.. Chapter 4. Present status of seasonal forecasting.. Chapter 5. Predictability.. Appendix

Disponible para usuarios de ECOSUR con su clave de acceso

It has been known for some time that the behavior of the short-term fluctuations of the earth's atmosphere resembles that of a chaotic non-linear dynamical system, and that the day-to-day weather cannot be predicted beyond a few weeks. However, it has also been found that the interactions of the atmosphere with the underlying oceans and the land surfaces can produce fluctuations whose time scales are much longer than the limits of deterministic prediction of weather. It is, therefore, natural to ask whether it is possible that the seasonal and longer time averages of climate fluctuations can be predicted with sufficient skill to be beneficial for social and economic applications, even though the details of the day-to-day weather cannot be predicted beyond a few weeks. The main objective of the workshop was to address this question by assessing the current state of knowledge on predictability of seasonal and interannual climate variability and to investigate various possibilities for its prediction. Inglés

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