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Weather Analysis and Forecasting is a practical guide to using potential vorticity fields and water vapor imagery from satellites to elucidate complex weather patterns and train meteorologists to improve operational forecasting. In particular, it details the use of the close relationship between satellite imagery and the potential vorticity fields in the upper troposphere and lower stratosphere. It shows how to interpret water vapor patterns in terms of dynamical processes in the atmosphere and their relation to diagnostics available from weather prediction models. The book explores topics including: a dynamical view of synoptic development; the interpretation problem of satellite water vapor imagery; practical use of water vapor imagery and dynamical fields; significant water vapor imagery features associated with synoptic dynamical structures; and use of water vapor imagery for assessing NWP model behavior and improving forecasts. Applications are illustrated with color images based on real meteorological situations. The book's step-by-step pedagogy makes this an essential training manual for forecasters in meteorological services worldwide, and a valuable text for graduate students in atmospheric physics and satellite meteorology. * Shows how to analyze current satellite images for assessing weather models' behavior and improving forecasts * Provides step-by-step pedagogy for understanding and interpreting meteorological processes * Includes full-color throughout to highlight "real-world" models, patterns, and examples
A quantitative introduction to atmospheric science for students and professionals who want to understand and apply basic meteorological concepts but who are not ready for calculus.
This Topical Volume focuses on aviation meteorology for operations and research, covering important topics related to wind and turbulence, visibility, fog and precipitation, convection and lightning, icing, blowing snow, and ice cloud microphysics and dynamics. In addition to forecasting issues, the impact of climate on aviation operations is also highlighted, as temperature and moisture changes can affect aircraft aerodynamic conditions, such as lift and drag forces. This work uses measurements from state of art in-situ instruments and simulation results from numerical weather prediction (NWP) and climate models. New technologies related to satellites, radars, lidars, and UAVs (Unmanned Aerial Vehicles) are described, as well as new analysis methods related to artificial intelligence (AI) and neural network systems. Use of remote sensing platforms, including satellites, radars, radiometers, ceilometers, sodars, and lidars, as well as knowledge of the in-situ observations for the monitoring and short-term forecasting of wind, turbulence, gust, clear air turbulence (CAT), low visibility due to fog and clouds, and precipitation types are required for aviation operations at the airports and high level flying conditions. This book provides extensive knowledge for aviation-related meteorological processes and events that include short and long term prediction of high impact weather systems. Aviation experts, weather offices, pilots, university students, postgraduates, and researchers interested in aviation and meteorology, including new instruments for measurements applicable to forecasting and nowcasting, can benefit from consulting and reading this book. This book provides a comprehensive overview of our existing knowledge and the numerous remaining difficulties in predicting and measuring issues related to wind and turbulence, convection, fog and visibility, various cloud types, icing, and ice clouds at various time and space scales. Previously published in Pure and Applied Geophysics, Volume 176, Issue 5, 2019
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
The 4-volume set LNCS 11632 until LNCS 11635 constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Security, ICAIS 2019, which was held in New York, USA, in July 2019. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 230 full papers presented in this 4-volume proceedings was carefully reviewed and selected from 1529 submissions. The papers were organized in topical sections as follows: Part I: cloud computing; Part II: artificial intelligence; big data; and cloud computing and security; Part III: cloud computing and security; information hiding; IoT security; multimedia forensics; and encryption and cybersecurity; Part IV: encryption and cybersecurity.