OPTIMIZATION OF LIDAR SYSTEMS MEASUREMENTS FOR DETECTION OF CLEAR AIR TURBULENCE

Authors

  • Horațiu ȘTEFĂNIE Babeş-Bolyai University, Faculty of Environmental Science and Engineering, 30 Fântânele St., 400294, Cluj-Napoca, Romania. https://orcid.org/0000-0002-5741-1527
  • Camelia BOTEZAN Babeş-Bolyai University, Faculty of Environmental Science and Engineering, 30 Fântânele St., 400294, Cluj-Napoca, Romania. *Corresponding author: camelia.botezan@gmail.com https://orcid.org/0000-0002-2187-3893
  • Nicolae AJTAI Babeş-Bolyai University, Faculty of Environmental Science and Engineering, 30 Fântânele St., 400294, Cluj-Napoca, Romania. https://orcid.org/0000-0002-2042-1967
  • Andrei RADOVICI Babeş-Bolyai University, Faculty of Environmental Science and Engineering, 30 Fântânele St., 400294, Cluj-Napoca, Romania.
  • Alexandru MEREUŢӐ Babeş-Bolyai University, Faculty of Environmental Science and Engineering, 30 Fântânele St., 400294, Cluj-Napoca, Romania. https://orcid.org/0000-0001-8826-7962
  • Răzvan PÂRLOAGĂ National Institute for Research and Development in Optoelectronics INOE 2000, 409 Atomiștilor Str., Măgurele, Romania.
  • Livio BELEGANTE National Institute for Research and Development in Optoelectronics INOE 2000, 409 Atomiștilor Str., Măgurele, Romania. https://orcid.org/0000-0002-4027-5995

DOI:

https://doi.org/10.24193/subbambientum.2019.1.06

Keywords:

lidar, CAT- Clear Air Turbulence, aircrafts.

Abstract

In this paper we analyse the optimization of lidar systems in order to investigate Clear Air Turbulence (CAT), which is a dangerous weather phenomenon affecting especially the commercial aircrafts. It is assumed that aircrafts can cause air turbulence that can be detected by lidar, since pressure gradients could cause slight variations of the molecular depolarization values. This study will assess the capability of the lidar systems to highlight air turbulence from depolarization profiles. In order to do this, lidar measurements were performed at two sites in Romania: one in Magurele, near Bucharest and one in Cluj-Napoca. The measurements were accompanied by continuous flight path monitoring to mark the incidence events above the measuring locations.

References

Ajtai N., Stefanie H., Arghius V., Meltzer M., Costin D., 2017, Characterization of aerosol optical and microphysical properties over North-Western Romania in correlation with predominant atmospheric circulation patterns. International Multidisciplinary Scientific Geo Conference Surveying Geology and Mining Ecology Management, SGEM 17 (41), pp. 375-382.

Belegante L., Cazacu M., Timofte A., Toanca F., Vasilescu J., Rusu M., Ajtai N., Stefanie H., Vetres I., Ozunu A., Gurlui S., 2015, Romanian participation to the volcanic ash exercise VOLCEX 2014. Environmental Engineering and Management Journal, 14 (11), pp. 2503 – 25014.

Belegante L., Bravo-Aranda J.A., Freudenthaler V., Nicolae D., Nemuc A., Ene D., Alados-Arboledas L., Amodeo A., Pappalardo G., D’Amico G., Amato F., Engelmann R., Baars H., Wandinger U., Papayannis A., Kokkalis P., Pereira S.N., 2018, Experimental techniques for the calibration of lidar depolarization channels in EARLINET. Atmos. Meas. Tech., 11, 1119–1141.

Calinoiu D.G., Trif-Tordai G., Ionel I., Cioabla A.E., 2018, Sun photometer – remote sensing for aerosol assessment. Journal of Environmental Protection and Ecology 19 (2), 462–470.

Kim J.‐H., Chun H.‐Y., 2011, Statistics and possible sources of aviation turbulence over South Korea. Journal of Applied Meteorology and Climatology, 50 (2), 311–324.

McCullough E.M., Sica R.J., Drummond J.R., Nott G., Perro C., Thackray C.P., Hopper J., Doyle J., Duck T.J., Walker K.A., 2017, Depolarization calibration and measurements using the CANDAC Rayleigh–Mie–Raman lidar at Eureka, Canada. Atmos. Meas. Tech., 10, pp. 4253–4277.

Radu A. A., Stefan S., Suruceanu I., Ursu I., 2018, CONTUR - Status and Perspectives of a Project in Progress. In: Intern. Conf. of Aerospace Sciences “AEROSPATIAL 2018”, Bucharest, October 2018.

Sharman R., Tebaldi C., Wiener G., Wolff J., 2006, An integrated approach to mid‐ and upper level turbulence forecasting. Weather and Forecasting, 21 (3), 268–287.

Storer L.N., Williams P.D., Joshi M.M., 2017, Global Response of Clear‐Air Turbulence to Climate Change. Geophysical Research Letters, 44 (19), 9976-9984.

Stull R.B., 1988, An Introduction to Boundary Layer Meteorology, Kluwer Academic Publishers, Dordrecht, Boston and London, 666 p.

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Published

2019-06-30

How to Cite

ȘTEFĂNIE, H., BOTEZAN, C., AJTAI, N., RADOVICI, A., MEREUŢӐ A., PÂRLOAGĂ, R., & BELEGANTE, L. (2019). OPTIMIZATION OF LIDAR SYSTEMS MEASUREMENTS FOR DETECTION OF CLEAR AIR TURBULENCE. Studia Universitatis Babeș-Bolyai Ambientum, 64(1), 81–89. https://doi.org/10.24193/subbambientum.2019.1.06

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