Note:  To allow for pilots flying in Saturday morning, class will start promptly at 10 am on Saturday and end before 5 pm on Saturday.  Class will resume promptly at 8:30 am on Sunday and finish about 3:30 pm on Sunday to allow pilots to fly out before sunset. These times are subject to change.  A confirmation e-mail will be sent to you a couple days prior to the seminar that will identify any significant changes to this schedule.  Lunches will be provided on Saturday and Sunday around noon each day.  Breakfast or refreshments will not be provided either day.

Under the Weather

Saturday

Under The Weather introduction and welcome

        Pilots will be welcomed with a brief overview of the planned weekend activities.  A brief summary of each topic will be highlighted and what the student will learn in each of the four seminar segments. 

Numerical Weather Prediction and the Anatomy of a Low

        In this segment the student will be introduced to four numerical weather prediction models (Eta, NGM, GFS, and RUC).  All forecasts available today are based on the careful analysis of the data from weather forecasting models.  The characteristics of each of these model will be briefly described in this segment.  Pilots can utilize model output to identify the location of adverse weather two or three days in advance.  With a detailed knowledge of the adverse weather a pilot might face, scheduling can be done effectively to avoid pressures with a last minute go/no decision. 

        As a result, the student will learn how to interpret both the 1000-500 mb thickness mean sea level (MSL) pressure chart and other upper level constant pressure charts that are produced by these forecasting models.  Related topics will be discussed:

bulletAir masses
bulletFrontal systems (warm, cold and stationary)
bulletConstant pressure charts (850 mb, 700 mb, 500 mb and 300 mb)
bulletRidge and troughs (positive and negative tilt)
bulletBlocking patterns (omega and Rex)
bulletCutoff lows
bulletOcclusion process
bulletJet streaks and its effect on upper level divergence
bulletPressure gradient
bulletAtmospheric thickness and thickness gradient
bulletDetermining icing potential ("540 line")
bulletAssessing cold and warm-air advection

 

Parcel Theory and Adiabatic Diagrams

        In the second segment, the concept of parcel theory and thermodynamic diagrams will be explored.  Radiosondes are launched twice daily; actual temperature and dew point temperature are plotted as a function of pressure (altitude) on thermodynamic diagrams such at the Skew-T Log P chart.  Moreover, some forecasting models produce hourly forecast data that can be plotted on this diagram.   The student will be give an exercise to plot temperature and dew point temperature on this thermodynamic chart.   Additionally, the student will be asked to find the cloud bases.  The following related topics will be discussed:

bulletParcel theory definition and radiosondes
bulletSkew-T Log-P thermodynamic diagrams
bulletAtmospheric instability - thunderstorm threat
bulletInstability indices such as CAPE, Lifted Index (LI), Showalter Index (SI) and K-Index

Icing Scenario Introduction

bulletScenario introduction (route and altitude considerations)
bulletDay 3 and Day 2 forecast analysis

Sunday

Why is ice not so nice?

        In this segment, the student will learn and review the way structural icing can affect the aircraft.   Structural icing is a result of supercooled liquid water droplets within a cloud or in freezing rain or freezing drizzle.  Aircraft skin and ambient temperature play a critical role in the probability for icing conditions to exist.  The following related topics will be discussed:

bulletThe effects of structural icing on the airframe, propeller and instruments
bulletCollection efficiency
bulletRecipe for icing conditions
bulletThe effect of altitude and temperature on icing conditions
bulletIcing types
bulletSupercooled Large Droplets (SLD)

Meteorological factors

        In the segment, the student will learn about the meteorological factors that increase the likelihood of icing conditions.  Icing conditions are more prevalent in cumuliform clouds as compared to stratiform clouds.  80% of the icing encounters reported by pilots were in a frontal zone.  The dew point depression (temperature dew point spread) is a key indicator of the potential for icing conditions.  The following related topics will be discussed:

bulletIcing probability as a function of cloud type
bulletIcing probability as a function of frontal type
bulletHow to use dew point depression as an indicator of icing probability
bulletThe role of cold-air advection in icing intensity
bulletOrographic lifting

Upper air observations and forecasts

        In the segment, the student will learn about the use of radiosonde and thermodynamic diagrams such as the Skew-T Log P diagram.  A Skew-T diagram is one of the absolute best ways to assess icing potential within 24 hours from your planned departure.  The Rapid Update Cycle model produces 12 hour forecasts and produces data that can be displayed on this diagram.   The following related topics will be discussed:

bulletRadiosondes
bulletRapid Update Cycle model output
bulletSkew-T Log P diagrams
bulletUsing Skew-T diagrams to assess cloud tops, cloud bases and layers
bulletUsing Skew-T diagrams to assess the potential for freezing rain or freezing drizzle
bulletCurrent Icing Potential @DDS tool
bulletForecast Icing Potential @DDS tool
bulletAIRMETs/SIGMETs and satellite images

Icing examples

        In the segment, the student will see a comparison of a harmless icing encounter with a more serious one.  These examples will show why products such as the winds/temperatures aloft don't provide the pilot with enough information to predict icing conditions.  The following related topics will be discussed:

bulletHarmless icing examples
bulletSerious icing example

Continued Icing Scenario Discussion

bulletDay 1 and Day 0 forecast analysis

Send e-mail to or call 803-802-2591 with questions about the services and/or products offered by Chesapeake Aviation Training, Inc..  
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Last modified: 12/17/08