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Remote sensing of potential aircraft icing areas V. V. Zuev, D. P. Nakhtigalova, A. P. Shelekhov [et.al.]

Contributor(s): Zuev, Vladimir V | Shelekhov, Alexander P | Shelekhova, Evgeniya A | Baranov, Nikolay A | Kizhner, Lubov I | Nakhtigalova, Daria P | Томский государственный университет Механико-математический факультет Кафедра вычислительной математики и компьютерного моделирования | Томский государственный университет Геолого-географический факультет Кафедра метеорологии и климатологииMaterial type: ArticleArticleSubject(s): обледенение воздушных судов | температура | относительная влажность воздухаGenre/Form: статьи в журналах Online resources: Click here to access online In: Proceedings of SPIE Vol. 9680 : 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics, June 22-26, 2015, Tomsk, Russian Federation. P. 96806Q-1-96806Q-8Abstract: Remote sensing technique of detection of potential aircraft icing areas based on temperature profile measurements, using meteorological temperature profiler, and the data of the Airfield Measuring and Information System (AMIS-RF), was proposed, theoretically described and experimentally validated during the field project in 2012 - 2013 in the Tomsk Bogashevo Airport. Spatial areas of potential aircraft icing were determined using the RAP algorithm and Godske formula. The equations for the reconstruction of profiles of relative humidity and dew point using data from AMIS-RF are given. Actual data on the aircraft icing for the Tomsk Bogashevo Airport on 11 October 2012 and 17 March 2013 are presented in this paper. The RAP algorithm and Godske formula show similar results for the location of spatial areas of potential icing. Though, the results obtained using the RAP algorithm are closer to the actual data on the icing known from aircraft crew reports.
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Remote sensing technique of detection of potential aircraft icing areas based on temperature profile measurements, using meteorological temperature profiler, and the data of the Airfield Measuring and Information System (AMIS-RF), was proposed, theoretically described and experimentally validated during the field project in 2012 - 2013 in the Tomsk Bogashevo Airport. Spatial areas of potential aircraft icing were determined using the RAP algorithm and Godske formula. The equations for the reconstruction of profiles of relative humidity and dew point using data from AMIS-RF are given. Actual data on the aircraft icing for the Tomsk Bogashevo Airport on 11 October 2012 and 17 March 2013 are presented in this paper. The RAP algorithm and Godske formula show similar results for the location of spatial areas of potential icing. Though, the results obtained using the RAP algorithm are closer to the actual data on the icing known from aircraft crew reports.

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