Analysis of the aircraft observations related to atmospheric turbulence in Eastern Siberia and Russian Far East

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Abstract

In the article, analysis of aircraft observations for atmospheric turbulence on the territories of Eastern Siberia and Russian Far East from January, 2020 to July, 2024 is presented. Observations have been divided by seasons, geographical areas, vertical layers and intensity. The majority of turbulence observations reported from the layers of the upper part of troposphere. Turbulence observations, in the lower part of troposphere, principally, fixed in the planetary boundary layer and showed moderate and severe turbulence near main airports of the region under consideration. Possibility to define type of turbulence based on aircraft, surface and satellite observations and numerical modeling is discussed.

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About the authors

Eugenia M. Verbitskaya

Far Eastern Regional Hydrometeorological Research Institute

Email: werbaem@gmail.com
ORCID iD: 0009-0006-5776-9736

Candidate of Sciences in Geography, Leading Researcher

Russian Federation, Vladivostok

Zinaida V. Verbitskaya

Far Eastern Regional Hydrometeorological Research Institute

Email: derez@ya.ru

Junior Researcher

Russian Federation, Vladivostok

Stanislav О. Romanskiy

Far Eastern Regional Hydrometeorological Research Institute

Author for correspondence.
Email: khvrom@ya.ru
ORCID iD: 0000-0001-6613-6881

Candidate of Sciences in Physics and Mathematics, Senior Researcher

Russian Federation, Vladivostok

References

  1. Verbickaja E.M., Romanskij S.O. Ispol’zovanie vysokoproizvoditel’noj vychislitel’noj tehniki dlja chislennogo modelirovanija i prognozirovanija opasnyh dlja aviacii javlenij pogody v Dal’nevostochnom regione. In: Informacionnye tehnologii i vysokoproizvoditel’nye vychislenija: materialy VI Mezhdunarodnoj nauchno-prakticheskoj konferencii (Habarovsk, 14–16 sentjabrja 2021 g.). Habarovsk: Tihookeanskij Gosudarstvennyj Universitet; 2021. S. 40–45. (In Russ.).
  2. Skamarock W.C., Klemp J.B., Dudhia J., Gill D.O., Liu Z., Berner J., Wang W., Powers J.G., Duda M.G., Barker D.M., Huang X. A description of the advanced research WRF model version 4 (No. NCAR/TN-556+STR). Boulder: National Center for Atmospheric Research; 2021. doi: 10.5065/1dfh-6p97.
  3. Lee D., Chun H., Kim S., Sharman R.D., Kim J. Development and evaluation of global Korean aviation turbulence forecast systems based on an operational numerical weather prediction model and in situ flight turbulence observation data. Weather and Forecasting. 2022;37:371–392. doi: 10.1175/WAF-D-22-0086.1.
  4. Sharman R.D., Lane T. (Eds.). Aviation turbulence: processes, detection, prediction. Springer International Publishing; 2016. doi: 10.1007/978-3-319-23630-8.
  5. Vinnichenko N.K., Pinus N.Z., Shmeter S.M., Shur G.N. Turbulentnost’ v svobodnoj atmosfere. Leningrad: Gidrometeoizdat; 1976. 288 s. (In Russ.).
  6. Obuhov A.M. Turbulentnost’ i dinamika atmosfery. Leningrad: Gidrometeoizdat; 1984. 414 s. (In Russ.).
  7. Foudad M., Sanchez-Gomez E., Jaravel T., Rochoux M., Terray L. Past and future trends in clear-air turbulence over the Northern Hemisphere. Journal of Geophysical Research: Atmospheres. 2024;129. e2023JD040261. doi: 10.1029/2023JD040261.
  8. Barry R.G. Mountain weather and climate. Cambridge: Cambridge university press; 2008. doi: 10.1017/CBO9780511754753.

Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Distribution of the total number of turbulence reports by territory. The total number of reports of turbulence is indicated, with a fraction indicating the number of reports of severe turbulence.

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3. Fig. 2. Forecast of mechanical (a) and thermal (b) turbulence based on WRF‒ARW model data for 4:00 UTC on May 4, 2020 (moderate and weak turbulence are indicated by dark and light shading, respectively)

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4. Fig. 3. Forecast of mechanical (a) and thermal (b) turbulence based on WRF‒ARW model data for 16:00 UTC on December 13, 2021 (the brightness of the fill corresponds to the intensity of turbulence: strong, moderate, weak)

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5. Fig. 4. Distribution of messages about turbulence in the lower troposphere by territory. Designations as in Fig. 1. Asterisks mark the places of predominant localization of messages in the territory of the quadrant.

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6. Fig. 5. Distribution of upper tropospheric turbulence reports by territory. Designations as in Fig. 1

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