This lesson aims to improve aviation forecasts of fog in the African airspace by teaching forecasters to make more accurate forecasts using satellite imagery, numerical weather prediction, and other available data.
Published: 05 November 2013
A process for diagnosing and forecasting fog is presented and applied to a case over the Nairobi, Kenya region. Learners assume the role of aviation forecaster, analysing various products to determine whether the current Terminal Aerodrome Forecast (TAF) is valid or needs to be amended.
The lesson is intended for aviation forecasters, general weather forecasters interested in aviation meteorology, and meteorological forecasting instructors and students.
|Atmosphere||English||Basic||No||60 min||ASMET team|