This module deals with identifying the characteristics of radiation versus advection fog events, determining which process is dominating, and applying that understanding when making ceiling and visibility forecasts. A forecast approach using a decision tree is also discussed. This decision tree outlines the basic steps involved in applying a thorough forecast approach to fog and stratus events. The module is based on live teletraining sessions offered in 2003 as part of the Distance Learning Aviation Course 1 (DLAC1) on Fog and Stratus Forecasting.
Describe the differing processes that lead to radiation fog and advection fog
State the two key ingredients for the formation of fog or low stratus: increasing moisture in the boundary layer or decreasing boundary layer temperatures.
Properly identify which processes are dominating a particular fog or low stratus event. You can do this by:
Examining the characteristics of the processes involved,
Examining the low-level factors that are influencing the event, and
Comparing these to the known characteristics, processes, and factors that distinguish a radiation event from an advective event.
Fog and Stratus Forecast Approaches, radiation fog, advection fog, fog characteristics, fog processes,fog forecasting,fog forecasting decision tree, fog preconditions,dlac1 overview
January 2021 - The text/print version of this lesson was updated to current internet standards (mp4/html5), with no changes to content.
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