München 2019 – wissenschaftliches Programm
EP 5.1: Hauptvortrag
Donnerstag, 21. März 2019, 11:00–11:30, HS 9
Machine Learning and Atmospheric-Ionospheric Coupling — •Jerry Czarnecki — Leibniz-Institut für Atmosphärenphysik
It is known that the atmospheric tides have significant effects on the spatial and temporal structure of the Earth's ionosphere and vice versa. This feedback mechanism, which is itself a manifestation of the actions and interactions of the E- and F-region dynamos, is not fully understood but is an important factor that influences the Mesospheric-Lower Thermospheric (MLT) tidal winds at mid and high latitudes. Understanding and quantifying these influences is important for improving current physical models of the E- and F-region dynamos and the associated feedback mechanisms on the tides. The focus of this talk will be the potential application of Machine Learning techniques to the study and quantification of the MLT wind-ionospheric interaction and the challenge of data preparation. A discussion of some challenges encountered during an ongoing investigation into this atmospheric-ionospheric interaction will be discussed.