From turbulence to climate: numerical investigations of the atmosphere with a hierarchy of models [Libro electrónico] / autor: Martin Beniston
Por: Beniston, Martin [autor/a].
Tipo de material: Libro en línea Editor: New York, New York, United States: Springer, c1998Descripción: x, 328 páginas : ilustraciones mapas ; 25 centímetros.ISBN: 3540634959; 9783642637315 (Print); 9783642587870 (Online).Tema(s): Atmospheric models | Atmospheric turbulence -- Mathematical models | Mesometeorology | Numerical analysisNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice: páginas 299-323 Número de sistema: 55930Contenidos: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 | ECO400559302975 |
Incluye bibliografía e índice: páginas 299-323
1. Introduction.. 2. Fundamental concepts related to atmospheric modeling.. 3. Investigations with the deardorff-sommeria ABL model.. 4. Investigations with the dreams mesoscale meteorological model.. 5. Simulations of climate and climate change.. 6. Coupling the mesoscale to the microscale: air pollution simulations.. 7. Observational evidence of regional climate change.. 8. Coupling the macroscale to the mesoscale: regional climate simulations.. 9. Concluding remarks and bibliography.. Index
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This volume covers aspects of numerical modeling of the atmosphere and climate from the microscales of turbulence to the very large scales associated with climate and climatic change. Each of the three major spatio-temporal scales of the atmosphere, namely, the microscale, the mesoscale, and the macroscale is addressed through a hierarchy of models. Results of model simulations are illustrated throughout the text, with many of these examples based on the author's original research work. For each type of model discussed here, the theoretical background, including governing equation sets, simplifying assumptions, and advantages and limits of the models, is provided. The topic of coupled, or nested, modeling systems as a promising approach to air pllution embedded in regional atmospheric flows, as well as to the regional atmospheric response to global climate forcings, is also addressed. An attempt is made throughout the book to highlight the highly interdisciplinary nature of atmospheric modeling, particularly in those sections dealing with climatic change issues. eng
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