From Turbulence to Climate Numerical Investigations of the Atmosphere with a Hierarchy of Models

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 mac...

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Bibliographic Details
Main Author: Beniston, Martin
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1998, 1998
Edition:1st ed. 1998
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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245 0 0 |a From Turbulence to Climate  |h Elektronische Ressource  |b Numerical Investigations of the Atmosphere with a Hierarchy of Models  |c by Martin Beniston 
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505 0 |a 1. Introduction -- 2. Fundamental Concepts Related to Atmospheric Modeling -- 3. Investigations with the DeardorffSommeria 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 -- Appendix: List of Commonly Used Mathematical Symbols 
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520 |a 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