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Wind has huge influence on take-off, landing and cruising of aircraft. Therefore measuring wind direction and speed as well as evaluating its structure are the most important tasks in meteorological support of flights. Wind shear, which is characterized by rapid changes of speed and/or direction, is one of the most hazardous phenomena for aviation. This phenomenon exists mostly in low tropospheric jet streams, areas of active atmospheric fronts, near convective clouds and strong temperature inversions. The paper proves that wind shear is mainly dependent on non-uniform layout of ascending and descending air currents and shows that this phenomenon can be detected by using ground sensors (ultrasonic anemometers), remote sensing methods (sodars, radars, wind profilers) and data from numerical mesoscale models.
Słowa kluczowe
Rocznik
Tom
Strony
75--80
Opis fizyczny
Bibliogr. 5 poz., rys.
Twórcy
autor
- Military University of Technology, Faculty of Civil Engineering and Geodesy Institute of Geodesy, Department of Geographic Information Systems 2 Kaliskiego St., 00-908 Warsaw 49, Poland
autor
- Military University of Technology, Faculty of Civil Engineering and Geodesy Institute of Geodesy, Department of Geographic Information Systems 2 Kaliskiego St., 00-908 Warsaw 49, Poland
autor
- Military University of Technology, Faculty of Civil Engineering and Geodesy Institute of Geodesy, Department of Geographic Information Systems 2 Kaliskiego St., 00-908 Warsaw 49, Poland
autor
- Military University of Technology, Faculty of Civil Engineering and Geodesy Institute of Geodesy, Department of Geographic Information Systems 2 Kaliskiego St., 00-908 Warsaw 49, Poland
Bibliografia
- 1. Chaładyniak, D. & Jasiński, J. (2008) Vertical air currents assessment for meteorological support of airborne missions of data acquisition for GIS. Polish Journal of Environmental Studies, Hard Olsztyn 17, 1C. pp. 19–22.
- 2. Charney, J.G. (1947) The dynamics of long waves in baroclinic westerly current. J. Meteor. 4, 5. pp. 135–162.
- 3. Djurić, D. (1994) Weather analysis. New Jersey: Prentice Hall, Englewood Cliffs.
- 4. Holton, J.R. (1992) An introduction to dynamic meteorology. Third edition. San Diego: Academic Press.
- 5. Hoskins, B.J., Draghici, I. & Davies, H.C. (1978) A new look at the ω-equation. Quart. J. Roy. Meteorol. Soc. 104. pp. 31–38.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-df4dbc2b-92ea-4542-95cf-6442e9b2c2a5