Validating and Tuning Physical Models With Multiple Data Sources (Invited)

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[0358] Atmospheric Composition And Structure / Thermosphere: Energy Deposition, [2400] Ionosphere, [2447] Ionosphere / Modeling And Forecasting

Scientific paper

The conventional process of validating ionospheric models is to compare model and observations and adjust appropriate parameters to bring them into agreement. To tune or validate a coupled thermosphere ionosphere model requires multiple data sources, since comparison with one source is usually not sufficient to uniquely constrain the model forcing. Matching one parameter can be achieved in a variety of ways. For instance, the ionospheric peak height, hmF2, can be raised either by increasing heat sources and so adjusting the thermal expansion, or by decreasing turbulent mixing. Decreased mixing in the lower thermosphere tends to increase the ratio of neutral atomic oxygen to molecular nitrogen in the mid and upper thermosphere, so increases the scale height causing the atmosphere to expand. The balance between EUV and high latitude heat sources affects neutral winds, which also play a key role in hmF2. The standalone Field Line Interhemispheric Plasma (FLIP) model has algorithms that can adjust empirical neutral winds and composition, to tune the model to match hmF2 and NmF2 measurements from ionosondes and radars. Tuning coupled thermosphere ionosphere models, on the other hand, require adjusting external forcing within their uncertainties, such as magnetospheric convection for Joule heating, solar EUV fluxes for dissociation, ionization, and heating, and lower atmosphere waves and turbulence. A coupled model of the Thermosphere Ionosphere, Plasmasphere with electrodynamics (CTIPe) has been used with a range of data sources, and compared with FLIP, to determine if a unique combination of external sources can bring model and data into agreement. Once a coupled model and standalone ionosphere model have been tuned to match observations, the neutral parameters from the coupled models can be compared with those required in the standalone ionosphere model. The comparison imposes an important constraint on the tuning, and contributes to our understanding of the physical processes.

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