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Conference Paper

Tidal Dynamics in the Whole Atmosphere Models Constrained by Meteorological Analyses

Authors

Yudin,  Valery
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Lieberman,  Ruth
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Karol,  Svetlana
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

McInerney,  Joe
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Pedatella,  Nicholas
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Goncharenko,  Larisa
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Yudin, V., Lieberman, R., Karol, S., McInerney, J., Pedatella, N., Goncharenko, L. (2023): Tidal Dynamics in the Whole Atmosphere Models Constrained by Meteorological Analyses, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4708


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021116
Abstract
Solar thermal tides in the Earth atmosphere play an important role in the dynamics, energetics and transport from the surface to the thermosphere-ionosphere region. Tidal dynamics and its variability impact the global and regional coupling between atmospheric layers. Paper will discuss main drivers and metrics of observed tidal variability in the Mesosphere and Lower Thermosphere (MLT) evaluating capability of whole atmosphere model predictions constrained by meteorological analyses below the stratopause to reproduce it. The observed influence of the data-constrained lower atmosphere on the MLT dynamics is well captured by simulations that are capable to predict the global and regional tidal variability deduced from the space-borne and ground-based measurements of temperature and winds. The model-model and model-data differences in the representation of tides and their effects will be highlighted and discussed. Along with the scale-aware formulations of dynamics-physics coupling in models to adequately constrain the diurnal cycles, daily mean prevailing flows, and wave-wave interactions the rapid (~1-hr cadence) analysis of MLT data will likely improve realism of tidal dynamics in the whole atmosphere predictions.