Current Icing Potential Algorithm Description and Comparison with Aircraft Observations

The “current icing potential” (CIP) algorithm combines satellite, radar, surface, lightning, and pilotreport observations with model output to create a detailed three-dimensional hourly diagnosis of the potential for the existence of icing and supercooled large droplets. It uses a physically based s...

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Published in:Journal of applied meteorology (1988) Vol. 44; no. 7; pp. 969 - 986
Main Authors: Bernstein, Ben C., McDonough, Frank, Politovich, Marcia K., Brown, Barbara G., Ratvasky, Thomas P., Miller, Dean R., Wolff, Cory A., Cunning, Gary
Format: Journal Article
Language:English
Published: Boston, MA American Meteorological Society 01-07-2005
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Abstract The “current icing potential” (CIP) algorithm combines satellite, radar, surface, lightning, and pilotreport observations with model output to create a detailed three-dimensional hourly diagnosis of the potential for the existence of icing and supercooled large droplets. It uses a physically based situational approach that is derived from basic and applied cloud physics, combined with forecaster and onboard flight experience from field programs. Both fuzzy logic and decision-tree logic are applied in this context. CIP determines the locations of clouds and precipitation and then estimates the potential for the presence of supercooled liquid water and supercooled large droplets within a given airspace. First developed in the winter of 1997/98, CIP became an operational National Weather Service and Federal Aviation Administration product in 2002, providing real-time diagnoses that allow users to make route-specific decisions to avoid potentially hazardous icing. The CIP algorithm, its individual components, and the logic behind them are described.
AbstractList The “current icing potential” (CIP) algorithm combines satellite, radar, surface, lightning, and pilotreport observations with model output to create a detailed three-dimensional hourly diagnosis of the potential for the existence of icing and supercooled large droplets. It uses a physically based situational approach that is derived from basic and applied cloud physics, combined with forecaster and onboard flight experience from field programs. Both fuzzy logic and decision-tree logic are applied in this context. CIP determines the locations of clouds and precipitation and then estimates the potential for the presence of supercooled liquid water and supercooled large droplets within a given airspace. First developed in the winter of 1997/98, CIP became an operational National Weather Service and Federal Aviation Administration product in 2002, providing real-time diagnoses that allow users to make route-specific decisions to avoid potentially hazardous icing. The CIP algorithm, its individual components, and the logic behind them are described.
The “current icing potential” (CIP) algorithm combines satellite, radar, surface, lightning, and pilot-report observations with model output to create a detailed three-dimensional hourly diagnosis of the potential for the existence of icing and supercooled large droplets. It uses a physically based situational approach that is derived from basic and applied cloud physics, combined with forecaster and onboard flight experience from field programs. Both fuzzy logic and decision-tree logic are applied in this context. CIP determines the locations of clouds and precipitation and then estimates the potential for the presence of supercooled liquid water and supercooled large droplets within a given airspace. First developed in the winter of 1997/98, CIP became an operational National Weather Service and Federal Aviation Administration product in 2002, providing real-time diagnoses that allow users to make route-specific decisions to avoid potentially hazardous icing. The CIP algorithm, its individual components, and the logic behind them are described.
Author Miller, Dean R.
Politovich, Marcia K.
Brown, Barbara G.
Wolff, Cory A.
McDonough, Frank
Cunning, Gary
Bernstein, Ben C.
Ratvasky, Thomas P.
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  surname: Bernstein
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  surname: McDonough
  fullname: McDonough, Frank
  organization: Research Applications Program, National Center for Atmospheric Research, Boulder, Colorado
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  givenname: Marcia K.
  surname: Politovich
  fullname: Politovich, Marcia K.
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  givenname: Barbara G.
  surname: Brown
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  organization: Research Applications Program, National Center for Atmospheric Research, Boulder, Colorado
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  givenname: Thomas P.
  surname: Ratvasky
  fullname: Ratvasky, Thomas P.
  organization: NASA Glenn Research Center, Cleveland, Ohio
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  surname: Miller
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  surname: Wolff
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  organization: Research Applications Program, National Center for Atmospheric Research, Boulder, Colorado
– sequence: 8
  givenname: Gary
  surname: Cunning
  fullname: Cunning, Gary
  organization: Research Applications Program, National Center for Atmospheric Research, Boulder, Colorado
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Issue 7
Keywords Water drop
Decision tree
Real time system
Fuzzy logic
Airplane
Algorithm performance
Traffic safety
Observation data
Air transportation
Icing
Risk management
Aircraft
Supercooled water
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Snippet The “current icing potential” (CIP) algorithm combines satellite, radar, surface, lightning, and pilotreport observations with model output to create a...
The “current icing potential” (CIP) algorithm combines satellite, radar, surface, lightning, and pilot-report observations with model output to create a...
The 'current icing potential' (CIP) algorithm combines satellite, radar, surface, lightning, and pilot-report observations with model output to create a...
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StartPage 969
SubjectTerms Air transportation and traffic
Aircraft
Analytical forecasting
Applied sciences
Cloud physics
Clouds
Earth, ocean, space
Exact sciences and technology
External geophysics
Freezing
Ground, air and sea transportation, marine construction
Ice formation
Liquids
Meteorological applications
Meteorology
Meteors
Precipitation
Rain
Subtitle Algorithm Description and Comparison with Aircraft Observations
Title Current Icing Potential
URI https://www.jstor.org/stable/26185708
https://search.proquest.com/docview/16197138
https://search.proquest.com/docview/27990029
https://search.proquest.com/docview/28850919
Volume 44
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