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 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
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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. |
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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. |
Author_xml | – sequence: 1 givenname: Ben C. surname: Bernstein fullname: Bernstein, Ben C. organization: Research Applications Program, National Center for Atmospheric Research, Boulder, Colorado – sequence: 2 givenname: Frank surname: McDonough fullname: McDonough, Frank organization: Research Applications Program, National Center for Atmospheric Research, Boulder, Colorado – sequence: 3 givenname: Marcia K. surname: Politovich fullname: Politovich, Marcia K. organization: Research Applications Program, National Center for Atmospheric Research, Boulder, Colorado – sequence: 4 givenname: Barbara G. surname: Brown fullname: Brown, Barbara G. organization: Research Applications Program, National Center for Atmospheric Research, Boulder, Colorado – sequence: 5 givenname: Thomas P. surname: Ratvasky fullname: Ratvasky, Thomas P. organization: NASA Glenn Research Center, Cleveland, Ohio – sequence: 6 givenname: Dean R. surname: Miller fullname: Miller, Dean R. organization: NASA Glenn Research Center, Cleveland, Ohio – sequence: 7 givenname: Cory A. surname: Wolff fullname: Wolff, Cory A. 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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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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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 |
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