Air Turbulence and its Methods of Detection

Leonardo Di G. Sigalotti is a professor in Physics of Irreversible Processes at the Department of Basic Sciences, Autonomous Metropolitan University - Azcapotzalco (UAM-A), Mexico City, Mexico. He received his B.A. in Physics from University of Los Andes (Merida, Venezuela) and his Master and PhD in Astrophysics from the Scuola Internazionale Superiore di Studi Avanzati (SISSA) Trieste, Italy. He was a postdoc under Dr. Dennis W. Sciama’s supervision at the International Centre for Theoretical Physics (ICTP), Trieste, Italy, and later he accepted a position in the Physics Center of the Venezuelan Institute for Scientific Research, Caracas, and after fourteen years he moved to the Autonomous Metropolitan University – Azcapotzalco (UAM-A), Mexico City, where he is a full professor in the Area of Physics of Irreversible Processes at the Department of Basic Sciences. In addition, he has authored and co-authored numerous papers and articles in books on Star Formation Theory and Computational Fluid Dynamics. He is co-editor of several edited volumes on Computational and Experimental Fluid Dynamics and co-author of a book on Time Series Analysis in Seismology. He is a member of the International Astronomical Union (IAU), the National System of Researchers (SNI) of Mexico and the Venezuelan Physical Society (SVF). Fidel Cruz Peregrino is a professor in Basic Science Teaching Research at the Department of Basic Sciences, Autonomous Metropolitan University - Azcapotzalco (UAM-A), Mexico City, Mexico. He received his B.A. in Physics from Universidad Nacional Autónoma de México (UNAM) and his Master and PhD in Science (Astrophysics) from UNAM. He was a postdoc under the supervision of with Dr. David Merritt at the Rutgers University in New Jersey, USA, and joined the Institute of Astronomy at UNAM in Ensenada, Baja California, Mexico thereafter. After eight years he moved to Mexico City and work as scientific consultant in medicine, ecology and social science, and science outreach. At present he is an associate professor in the Area of Basic Science Teaching Research at the Department of Basic Sciences of the Autonomous Metropolitan University – Azcapotzalco (UAM-A), Mexico City. In addition, he has authored and co-authored a number of papers on galactic evolution with central supermassive black holes as well as on protostellar and planetary formation. Alejandro Ramírez Rojas is a professor in Physics of Irreversible Processes at ​​the Department of Basic Sciences, Autonomous Metropolitan University - Azcapotzalco (UAM-A), Mexico City, Mexico. He received his B.A. in Physics from the National Autonomous University of Mexico, his Master's degree in Physics from the National Polytechnic Institute of Mexico and his PhD in Nonlinear Physics from the Autonomous University of the State of Mexico. He did a short stay at the International Center for Theoretical Physics (ICTP), Trieste, Italy. Since 1985 he has been working in the Autonomous Metropolitan University – Azcapotzalco (UAM-A), Mexico City, where he is a full professor in the Area of Physics of Irreversible Processes at the Department of Basic Sciences. In addition, he is the author and co-author of numerous papers and book articles on time series analysis of complex systems with a primary focus on seismology. He is co-author of a book on time series analysis in seismology. He is a member of the Mexican Academy of Sciences and the National System of Researchers (SNI) of Mexico as well as the European Geosciences Union (EGU).

PART I 1. The Theory of Turbulence 2. The Numerical Modeling of Turbulence 3. Clear Air Turbulence (CAT) 4. Meteorological Evidence for CAT PART II 5. Types of Forecasts for Aviation 6. Effects of CAT on Aviation Operations and Aircraft PART III 7. Earlier Methods of CAT Detection and Warning 8. New Technologies for Reducing Aviation Weather-Related Accidents 9. Modern Methods and Techniques for CAT Detection 10. The Weather Accident Prevention Project, Pilot Perspectives, and Other Issues 11. Recent Investigations on CAT and Major Challenges