Analysis of an Artificial Tailplane Icing Flight Test of a ...
In-Flight Icing
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Transcript of In-Flight Icing
In-Flight Icing Products In-Flight Icing Products for Helicoptersfor Helicopters
Ben C. BernsteinBen C. BernsteinNational Center for Atmospheric ResearchNational Center for Atmospheric ResearchIn-flight Icing Product Development TeamIn-flight Icing Product Development Team
FAA – Aviation Weather Research ProgramFAA – Aviation Weather Research Program
In-Flight IcingIn-Flight IcingEncounters with supercooled liquid waterEncounters with supercooled liquid water– Liquid water at T < 0Liquid water at T < 0ooCC
Ram air rise, depending on aircraft speedRam air rise, depending on aircraft speed– CloudsClouds– Precipitation (FZDZ, FZRA) – SLDPrecipitation (FZDZ, FZRA) – SLD
Most helicopters are not certified for icingMost helicopters are not certified for icing– Avoidance is the focusAvoidance is the focus
Clouds, precipitation at T < 0Clouds, precipitation at T < 0ooC (+10C (+10ooC & vis moist – engine)C & vis moist – engine)– Some have ice protectionSome have ice protection
Good to avoid icingGood to avoid icingIf you’re going to encounter itIf you’re going to encounter it
– Where will it be (3-D space)Where will it be (3-D space)– When will it be there?When will it be there?– How likely is it?How likely is it?– Will there be large drops? Certification is for small drop icing.Will there be large drops? Certification is for small drop icing.– How severe will it be?How severe will it be?
IFIPDT Products – CIP & FIPIFIPDT Products – CIP & FIPCurrent Icing Product (CIP)Current Icing Product (CIP)– Hourly diagnoses of icing, blending info from many sourcesHourly diagnoses of icing, blending info from many sources
20km horizontal spacing CONUS & surroundings20km horizontal spacing CONUS & surroundings1000ft (305m) vertical spacing1000ft (305m) vertical spacingIcing Probability – Chance of ANY icing (avoidance)Icing Probability – Chance of ANY icing (avoidance)SLD “Potential” – Uncalibrated chance of large dropsSLD “Potential” – Uncalibrated chance of large dropsIcing Severity – Categorical (trace, light, mod, heavy)Icing Severity – Categorical (trace, light, mod, heavy)
– Fully operational Dec 2006, pending approvalFully operational Dec 2006, pending approvalWill be usable by pilots, dispatchers, meteorologistsWill be usable by pilots, dispatchers, meteorologists
– Current operational versionCurrent operational versionIcing “Potential”, SLD “Potential” - on Operational ADDS (Thompson)Icing “Potential”, SLD “Potential” - on Operational ADDS (Thompson)Severity available on Experimental ADDSSeverity available on Experimental ADDS
Forecast Icing Product (FIP)Forecast Icing Product (FIP)– Forecasts out to 12 hours, updated every 1-3 hoursForecasts out to 12 hours, updated every 1-3 hours– Operational Products: Icing Potential, SLD PotentialOperational Products: Icing Potential, SLD Potential
Experimental Severity in March 2007, Operational Fall 2008Experimental Severity in March 2007, Operational Fall 2008
Alaskan versions – Experimental. Operational: FY09, FY10Alaskan versions – Experimental. Operational: FY09, FY10
The CIP Concept
PIREPSLIGHTNING (NLDN)
MODEL (RUC)
SURFACE OBS (ASOS, etc)
RADAR (NEXRAD)
SATELLITE (GOES)
CONFIDENCEWEIGHT
CONTEXT
MEANING
VALUE
200km
+/-
400
0ft
LAST 2 HR
xy, z, t WEIGHTED &
BLENDED SEVERITY
AND CONFIDENCE
POS & NEG
x=20km z=1000ft
GRID
SPACE & TIME WEIGHTED PIREPS
BLENDED SATELLITE IMAGERY ALBEDO & CHANNEL 2-4
SITUATIONAL APPLICATION OF RADAR REFLECTIVITY
STABILITY DAMPED LWC CALCULATION
SITUATION
STRUCTURE
ciwivi
ciwi
DAMPING
VIS CH2-4
SAT-COMBO
0.00
0.25
0.50
0.75
1.00
0 10 20 30 40
Reflectivity (dBZ)
Inte
res
t
All SnowCold Rain or Above Warm NoseWarm Rain (CTT>-12 w/liquid) or CTT<-12 with DZ or Freezing Precip
PKBARR ARR
PKB
CIP’s adiabatic-q field @6k (~825mb)
SEVERITY6000 ft
Raw Categorical
88
55
Model (T, RH, VV, SLW) Satellite METARs Radar PIREPs
Step 1: Place datasets onto a common grid
Step 2: Find the 3-D locations of clouds and precipitation
Multiple cloudlayers
Single-layercloud
Cloud toptemperature
gradient
Classicalfreezing
rain
Icing Probability, SLD Potential, Icing Severity
ICING=0.0SLD=0.0
Severity=None
Lightning
Deepconvection
Step 3: Apply fuzzy logic membership functions to icing-related fields to create interest maps
None?
Step 4: Determine the physical icing scenario using a decision tree
Step 5: Situationally calculate the initial icing , SLD potential and Icing Severity
Step 6: Boost initial values using VV, SLW, PIREPs, satellite, radar, etc. Regular Gridded Field Irregular Field
Processing/Analysis Decision Tree
Results
The CIP ProcessThe CIP Process
Model (T, RH, VV, SLW) Satellite METARs Radar PIREPs
Step 1: Only use the model grid
Step 2: Find the 3-D locations of clouds and precipitation
Multiple cloudlayers
Single-layercloud
Cloud toptemperature
gradient
Classicalfreezing
rain
Icing Probability, SLD Potential, Icing Severity
ICING=0.0SLD=0.0
Severity=None
Lightning
Deepconvection
Step 3: Apply fuzzy logic membership functions to icing-related fields to create interest maps
None?
Step 4: Determine the physical icing scenario using a decision tree
Step 5: Situationally calculate the initial icing , SLD potential and Icing Severity
Step 6: Boost initial values using VV, SLW, PIREPs, satellite, radar, etc. Regular Gridded Field Irregular Field
Processing/Analysis Decision Tree
Results
The FIP ProcessThe FIP Process
Examples of CIP (Icing Probability)Examples of CIP (Icing Probability)
• Unprotected
• Any chance of icing = no go?
• Protected
• Where do you draw the line?
• Mission dependent?
• Visible moisture (T < +10oC)
Examples of CIP (SLD Potential)Examples of CIP (SLD Potential)
• Protected, but not for SLD!
• Any chance of SLD icing = no go?
Examples of CIP (Icing Severity)Examples of CIP (Icing Severity)
• Unprotected
• Trace or higher = no go?
• Protected
• Where do you draw the line?
• Put icing into context of other things
• C/V, winds, turb, traffic, MVAs
Thank YouThank You
Ben C. BernsteinBen C. BernsteinIFIPDT Alternate LeadIFIPDT Alternate [email protected]@rap.ucar.edu
(303) 497-8424(303) 497-8424