Vol. 37, issue 03, article # 6

Starchenko A. V., Del I. V ., Odintsov S. L. Wind and gust forecasting in Tomsk with TSUNM3 model. // Optika Atmosfery i Okeana. 2024. V. 37. No. 03. P. 225–233. DOI: 10.15372/AOO20240306 [in Russian].
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Abstract:

For short-term forecasting of weather periods characterized by strong winds with gusts in Tomsk, it is proposed to use the results of calculations based on the local weather numerical prediction model TSUNM3 (Tomsk State University Mesoscale Meteorological Model) in combination with semi-empirical formulas for estimating the scale of wind gusts. The comparison of the calculations and observations of meteorological parameters obtained for the conditions under consideration at the meteorological stations of the Common Use Center "Atmosphere" of IAO SB RAS, the AMIS-RF airport, and the Tomsk meteorological stations showed the prospects of using the model for numerical forecasting of this dangerous weather phenomenon. The results of the work are to be used for the development of an information and predictive system for early warning of dangerous wind gusts.

Keywords:

numerical weather prediction, wind gust, mesoscale model of numerical weather prediction TSUNM3

References:

1. Doklad ob osobennostyakh klimata na territorii Rossiiskoi Federatsii za 2021 year. M.: Rosgidromet, 2022. 104 p.
2. Evseeva N.S., Romashova T.V. Opasnye meteorologicheskie yavleniya kak sostavnaya chast' prirodnogo riska (na primere yuga Tomskoi oblasti) // Vestn. Tom. gos. un-ta. 2011. N 353. P. 199–204.
3. Yushkov V.P. Asimptotika maksimal'nykh vetrovykh poryvov v moskovskom megapolise: tseli, printsipy raschetov i statistika nablyudenii // Izv. RAN. Fiz. atmosf. i okeana. 2021. V. 57, N 3. P. 298–311.
4. Sheridan P. Current gust forecasting techniques, developments and challenges // Adv. Sci. Res. 2018. V. 15. P. 159–172.
5. Kurbatova M.M., Rubinshtein K.G. Gibridnyi metod prognoza poryvov vetra // Optika atmosf. i okeana. 2018. V. 31, N 7. P. 523–529.
6. Suarez M., Poffo D., Pierobon E., Martina A., Saffe J., Rodriguez A. Wind and gust forecasts assesment of Weather Research and Forecast (WRF) model in Cordoba, Argentina // AJAE. 2021. V. 16, N 1. P. 2021133.
7. Chislennoe modelirovanie pogody i kachestva atmosfernogo vozdukha v gorodakh / A.V. Starchenko, L.I. Kizhner, E.A. Danilkin, E.A. SHel'mina i dr. Tomsk: Izd-vo TGU, 2022. 140 p.
8. Sistema modelirovaniya atmosfery dlya besshovnogo prognoza / M.A. Tolstykh, V.V. SHashkin, R.Yu. Fadeev, A.V. Shlyaeva i dr. M.: Triada ltd, 2017. 166 p.
9. Powers J.G., Klemp J.B., Skamarock W.C., Davis C.A., Dudhia J., Gill D.O., Coen J.L., Gochis D.J., Ahmadov R., Peckham S.E., Grell G.A., Michalakes J., Trahan S., Benjamin S.G., Alexander C.R., Dimego G.J., Wang W., Schwartz C.S., Romine G.S., Liu Z., Snyder C., Chen F., Barlage M.J., Yu W., Duda M.G. The weather research and forecasting model: Overview, system efforts and future directions // Bull. Am. Meteorol. Soc. 2017. V. 98. P. 1717–1737.
10. Jiménez P.A., Dudhia J., González-Rouco J.F., Navar­ro J., Montávez J.P., García-Bustamante E. A revised scheme for the WRF surface layer formulation // Mon. Weather Rev. 2012. V. 140. P. 898–918. DOI: 10.1175/MWR-D-11-00056.1.
11. Chen F., Zhang Y. On the coupling strength between the land surface and the atmosphere // Geophys. Res. Lett. 2009. V. 36. P. L10404. DOI: 10.1029/2009GL037980.
12. Starchenko A.V., Kizhner L.I., Svarovsky A.I., Prokhanov S.A. Sensitivity analysis of the physical parameterizations in the WRF model on the prediction accuracy of meteorological parameters // Proc. SPIE. 2021. V. 11916. DOI: 10.1117/12.2603387.
13. Gladkikh V.A., Nevzorova I.V., Odintsov S.L. Struktura poryvov vetra v prizemnom sloe atmosfery // Optika atmosf. i okeana. 2019. V. 2, N 4. P. 304–308.
14. Расписание погоды. Архив погоды в Томске [Электронный ресурс]. URL: http://rp5.ru (дата обращения 16.07.2023).
15. Benjamin S.G., Brown J.M., Brundage K.J., Dévényi D., Grell G.A., Kim D., Schwartz B.E., Smirnova T.G., Smith T.L., Weygandt S.S., Manikin G.S. NWS Technical Procedures. Bulletin. No. 490. RUC20 – The 20 km Version of the Rapid Update Cycle. Boulder: NOAA/OAR Forecast Systems Laboratory, 2002. URL: https: // ruc.noaa.gov / ruc / ppt_pres / RUC20-tpb.pdf (last access: 21.06.2023).
16. Brasseur O. Development and application of a physical approach to estimating wind gusts // Mon. Weather Rev. 2001. V. 129. P. 5–25.