Abstract
Turbulence is a major factor affecting flight safety and its study is of great importance in order to improve air transports quality. Aviation-scale turbulence is recorded in situ by commercial aircraft through the Aircraft Meteorological Data Relay (AMDAR) programme. In this study, we analyze a plethora of AMDAR records for an 11-year period (2008–2018) over Europe. The available indicator of turbulence is the Derived Equivalent Vertical Dust Velocity (DEVG), which is an aircraft-independent metric. We focus on two flight level layers, below 5000-ft MSL and over 20,000-ft MSL in order to study the low-level and upper-level heavy-severe (H–S) turbulence, respectively. The seasonal variability is discussed, and the impact of possible turbulence sources is analyzed. Moreover, the vertical distribution of H–S turbulence records is presented. We found a strong impact of the jet stream in the records of the upper-level turbulence events over Europe and an increased number of low-level turbulence events in the southern regions. Low-level H–S turbulence encounter frequencies present a more distinct cycle with a maximum during late spring and early summer and a minimum during autumn months. This seasonal cycle seems to shift a few months later in the upper-level turbulence frequencies with the maximum occurring during late summer and autumn. Moreover, the diurnal variability of the low-level turbulence revealed a maximum before sunrise and a maximum over the continental areas during the midday hours of spring and summer.
Similar content being viewed by others
Data availability
The data that support the findings of this study are available from the HNMS but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the HNMS.
References
Archer CL, Caldeira K (2008) Historical trends in the jet streams. Geophys Res Lett 35:L08803. https://doi.org/10.1029/2008GL033614
Blackadar AK (1957) Boundary layer wind maxima and their significance for the growth of nocturnal invertions. Bull Amer Meteor Soc 38:238–290
Bramberger M, Dörnbrack A, Wilms H, Gemsa S, Raynor K, Sharman R (2018) Vertically propagating mountain waves—Ahazard for high-flying aircraft?J. Appl Meteor Climatol 57:1957–1975. https://doi.org/10.1175/JAMC-D-17-0340.1
Ellrod G, Lester PF, Ehernberger LJ (2003) Clear air turbulence. In: Holton JR et al (eds) Encyclopedia of Atmospheric Sciences, vol 1. Academic Press, New York, pp 393–403
Eurocontrol (2013) Severe weather risk management survey report. European Organisation for the Safety of Air Navigation. Retrieved from https://www.eurocontrol.int/sites/default/files/article/files/severe-weather-risk-management-survey-2013.pdf. Accessed 26 Sep 2020
Federal Aviation Administration (2010). Weather-related aviation accident study 2003–2007. Retrieved from https://www.asias.faa.gov/i/studies/2003-2007weatherrelatedaviationaccidentstudy.pdf. Accessed 26 Sep 2020
Jaeger EB, Sprenger M (2007) A Northern Hemispheric climatology of indices for clear air turbulence in the tropopause region derived from ERA40 reanalysis data. J Geophys Res 112:D20106. https://doi.org/10.1029/2006JD008189
Kim J-H, Chun H-Y (2011) Statistics and possible sources of aviation turbulence over South Korea. J Appl Meteorol Clim 50:311–324. https://doi.org/10.1175/2010JAMC2492.1
Kim S-H, Chun H-Y, Kim J-H, Sharman RD, Strahan M (2020) Retrieval of eddy dissipation rate from derived equivalent vertical gust included in Aircraft Meteorological Data Reply (AMDAR). Atmos Meas Tech 13:1373–1385
Koch P, Wernli H, Davies HC (2006) An event-based jet-stream climatology and typology. Int J Climatol 26:283–301. https://doi.org/10.1002/joc.125
Leutbecher M, Volkert H (2000) The propagation of mountain waves into the stratosphere: Quantitative evaluation of three-dimensional simulations. J Atmos Sci 57:3090–3108. https://doi.org/10.1175/1520-0469(2000)057%3c3090:TPOMWI%3e2.0.CO;2
Lane TP, Doyle JD, Sharman R, Shapiro MA, Watson CD (2009) Statistics and dynamics of aircraft encounters of turbulence over Greenland. Mon Wea Rev 137:2687–2702. https://doi.org/10.1175/2009MWR2878.1
Lane TP, Sharman RD, Trier SB, Fovell RG, Williams JK (2012) Recent advances in the understanding of near-cloud turbulence. Bull Am Meteorol Soc 93:499–515. https://doi.org/10.1175/BAMS-D-1100062.1
Lorenz DJ, DeWeaver ET (2007) Tropopause height and zonal wind response to global warming in the IPCC scenario integrations. J Geophys Res 112:D10119. https://doi.org/10.1029/2006JD008087
Sharman RD, Trier SB, Lane TP, Doyle JD (2012) Sources and dynamics of turbulence in the upper troposphere and lower stratosphere: A review. Geophys Res Lett 39:L12803. https://doi.org/10.1029/2012GL051996
Sharman RD, Cornman LB, Meymaris G, Pearson JM, Farrar T (2014) Description and derived climatologies of automated in situ eddy-dissipation-rate reports of atmospheric turbulence. J Appl Meteorol Climatol 53:1416–1432. https://doi.org/10.1175/JAMC-D-13-0329.1
Sherman DJ (1985) The Australian implementation of AMDAR/ACARS and the use of derived equivalent gust velocity as a turbulence indicator. Structures Reports No 418, Department of Defence, Defence Science and Technology Organization, Aeronautical Research Laboratories, Melbourne, Victoria. Retrieved from https://apps.dtic.mil/sti/pdfs/ADA167002.pdf. Accessed 26 Sep 2020
Wolff JK, Sharman R (2008) Climatology of upper-level turbulence over the contiguous United States. J Appl Meteorol Climatol 47:2198–2214. https://doi.org/10.1175/2008JAMC1799.1
World Meteorological Organization (1958) Observational characteristics of the jet stream. A Survey of the Literature. (WMO-No. 71. TP.27). Retrieved from https://library.wmo.int/doc_num.php?explnum_id=1725. Accessed 26 Sep 2020
World Meteorological Organization (2003) Aircraft Meteorological Data Relay (AMDAR) Reference Manual (WMO-No. 958). Retrieved from https://library.wmo.int/doc_num.php?explnum_id=9026. Accessed 26 Sep 2020
World Meteorological Organization (2017) Guide to Aircraft-based Observations (WMO-No. 1200). Retrieved from https://library.wmo.int/doc_num.php?explnum_id=4120. Accessed 26 September 2020
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Gerogiannis, V.T., Feidas, H. An 11-year analysis of in situ records of aviation-scale turbulence over Europe. Theor Appl Climatol 145, 941–953 (2021). https://doi.org/10.1007/s00704-021-03676-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-021-03676-z