Aviation Meteorology: Observations and Models. Introduction
A Review of High Impact Weather for Aviation Meteorology
Influences of Gravity Waves on Convectively Induced Turbulence (CIT): A Review
Review of Lidar-Based Applications for Aviation Weather
A Meteorological Supersite for Aviation and Cold Weather Applications
Applications of Geostationary Satellite Data to Aviation
Hazard Avoidance Products for Convectively-Induced Turbulence in Support of High-Altitude Global Hawk Aircraft Missions
R2O Transition of NCAR’s Icing and Turbulence Algorithms into NCEP’s Operations
Aviation Turbulence: Dynamics, Forecasting, and Response to Climate Change
Sensitivity of Numerical Simulations of a Mesoscale Convective System to Ice Hydrometeors in Bulk Microphysical Parameterization
Assessment of the Sensitivity to the Thermal Roughness Length in Noah and Noah-MP Land Surface Model Using WRF in an Arid Region
Numerical Simulations of an Inversion Fog Event in the Salt Lake Valley during the MATERHORN-Fog Field Campaign
Probabilistic Nowcasting of Low-Visibility Procedure States at Vienna International Airport During Cold Season
Fog Occurrence and Associated Meteorological Factors Over Kempegowda International Airport, India
Fog at the Guarulhos International Airport from 1951 to 2015
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