Non-zonal structures of the midlatitude mesosphere/lower thermosphere dynamics studied by using atmospheric models and radar observations.
- 1Institute for Meteorology, Leipzig University, Leipzig, Germany (kanykei.kandieva@uni-leipzig.de)
- 2Russian State Hydrometeorological University, St. Petersburg, Russia
- 3Institute for Experimental Meteorology, Obninsk, Russia
- 4Kazan Federal University, Kazan, Russia
Radar observations from two SKiYMET radars at Collm (51°N, 13°E) and Kazan (56°N, 49°E) during 2016-2017 are used to investigate the longitudinal variability of the mesosphere/lower thermosphere (MLT) wind regime over western and eastern Europe. Both of the meteor radars have similar setups and apply the same analysis procedures to correctly compare MLT parameters and validate the simulated winds. The radar observations confirm the established seasonal variability of the wind distribution, but this distribution is not identical for the two stations. The results show good qualitative agreement with global circulations model predictions by the Middle and Upper Atmosphere Model (MUAM) and the Upper Atmosphere ICOsahedral Non-hydrostatic model (UA-ICON). The MUAM and UA-ICON models well reproduce the main dynamical features, namely the vertical and temporal distributions of the winds observed throughout the year. However, there are also some differences in the longitudinal wind variability of the models and radar observations. Numerical experiments with modified parameterization settings have also been carried out to study the response of the MLT wind circulation to the gravity waves originating from the lower atmosphere. The MUAM model results show that a decrease/increase in the gravity wave intensity at the lower atmosphere leads to an increase/decrease of the mesospheric zonal wind jet extension and the zonal wind reversal.
How to cite: Kandieva, K., Jacobi, C., Karami, K., Pogoreltsev, A., Merzlyakov, E., and Korotyshkin, D.: Non-zonal structures of the midlatitude mesosphere/lower thermosphere dynamics studied by using atmospheric models and radar observations., DACH2022, Leipzig, Deutschland, 21–25 Mar 2022, DACH2022-164, https://doi.org/10.5194/dach2022-164, 2022.