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

This volume is a summary of work undertaken since 1978 when I completed my doctoral dissertation at the Laboratoire de Meteorologie Dynamique (LMO) of the Ecole Normale Superieure in Paris. Since that time, my career has taken me through different countries and institutions, many of which have strong links to climate research in one form or another. It would be difficult to thank the numer ous persons whom I have met in the course of my professional life and who contributed directly (for example as co-authors), or indirectly, to the papers which I have published in various journals. I am particularly indebted to Dr. Gilles Sommeria, who at the time was my thesis supervisor, for his advice during the preparation of my dissertation, and for his enthusiasm which encouraged me to take up a career in scientific research. My thanks also go to Prof. Ernst Augstein, Prof. Hans Hinzpeter, and Prof. Klaus Hasselmann for giving me the opportunity to carry out advanced research at the Max-Planck-Institute for Meteorology, from the early to mid-1980s. From the Back Cover 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.