Paper
19 November 2015 Remote sensing of potential aircraft icing areas
Vladimir V. Zuev, Daria P. Nakhtigalova, Alexander P. Shelekhov, Evgeniya A. Shelekhova, Nikolay A. Baranov, Lubov I. Kizhner
Author Affiliations +
Proceedings Volume 9680, 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics; 96806Q (2015) https://doi.org/10.1117/12.2205762
Event: XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2015, Tomsk, Russian Federation
Abstract
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir V. Zuev, Daria P. Nakhtigalova, Alexander P. Shelekhov, Evgeniya A. Shelekhova, Nikolay A. Baranov, and Lubov I. Kizhner "Remote sensing of potential aircraft icing areas", Proc. SPIE 9680, 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics, 96806Q (19 November 2015); https://doi.org/10.1117/12.2205762
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KEYWORDS
Clouds

Temperature metrology

Humidity

Directed energy weapons

Remote sensing

Environmental sensing

Meteorology

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