SA010-0002
Growin: Modeling Ionospheric Instability Growth Rates During Solar Minimum and Giving Away the Code

Wednesday, 9 December 2020
Poster
Jonathon Smith and Jeffrey Klenzing, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Abstract:
A seasonal and zonal climatology of Rayleigh-Taylor growth rates during solar minimum and solar moderate conditions as a function of local time and altitude has been developed using open source data and software.
The growin python module utilizes other Heliophysics python modules to collate and process vertical plasma drift to drive the SAMI2 model and subsequently calculate the flux tube integrated Rayleigh-Taylor growth rate.
The process is repeated for two different types of drift inputs: the Fejer-Scherliess model and measured drifts from C/NOFS.
These growth rates are compared to bubble occurrence frequencies obtained from a dataset of bubbles detected by the C/NOFS satellite.
There is agreement between periods of strong positive instability growth and high frequencies of bubble occurrence in both low and moderate solar activity conditions when using C/NOFS drifts.
Fejer drifts are only in agreement with bubble occurrence frequencies during moderate solar activity conditions.
Bubble occurrence frequencies are often above 25% even when growth rates in the bottomside F region are negative.
The climatological nature of the growth rates discussed here begs further study into the day-to-day variability of the growth rate and its drivers.