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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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Volume 15
Adv. Sci. Res., 15, 251-255, 2018
https://doi.org/10.5194/asr-15-251-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Adv. Sci. Res., 15, 251-255, 2018
https://doi.org/10.5194/asr-15-251-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Nov 2018

19 Nov 2018

Comparison of seven wind gust parameterizations over the European part of Russia

Maria Kurbatova1,2, Konstantin Rubinstein1,2, Inna Gubenko1,2, and Grigory Kurbatov3 Maria Kurbatova et al.
  • 1Hydrometeorological Center of Russia, Moscow, Russian Federation
  • 2Nuclear safety institute of the Russian Academy of Sciences, Moscow, Russian Federation
  • 3Faculty of Physics M. V. Lomonosov Moscow State University, Moscow, Russian Federation

Abstract. Wind gusts are extreme events which can cause severe damage. Gusts can reach significant values even during medium winds. However, numerical atmospheric models are designed to reproduce average wind speed, not gusts. There are several approaches to estimating wind gusts. Seven different methods are applied to WRF-ARW model output. Results are compared to high-frequency wind speed measurements using ultrasonic anemometers and temperature profiler measurement at the same point in Moscow. Data gathered from synoptic station network over the European part of Russia were also included in the analysis to increase the statistics. None of the wind gust estimation methods shows best results at every skill score. The proposed hybrid method shows good balance between the probability of detection and the false alarm ratio estimates.

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