The data set contains 10 data files named WACCM6_.nc, which contain array simulation data from WACCM6. It also contains one ReadMe text file and one ReadData python script to read the array data. The WACCM6_.nc files contain five different variables: temperature (T), zonal winds (U), Nitric oxide (NO), Ozone (O3) and Hidrogen oxide (OH); relevant for our analysis. This data set was simulated in two WACCM6 runs, with different particle forcing, one including both auroral electrons and medium energy electrons (files: WACCM6_mee_.nc), and another including only auroral electrons(WACCM6_nomee_.nc). This data has been used for the research letter titled "The medium energy electron direct effect on mesospheric dynamics during a sudden stratospheric warming event in 2010" by Zuñiga et al., 2022 (submitted for review)

ABSTRACT: Medium energy electron (MEE) (30-1000 keV) precipitation enhances the production of nitric (NOx) and hydrogen oxides (HOx) throughout the mesosphere, which can destroy ozone (O3) in catalytic reactions. The dynamical effect of the direct mesospheric O3 reduction has long been an outstanding question, partly due to the concurrent feedback from the stratospheric O3 reduction. To overcome this challenge, the Whole Atmosphere Community Climate Model (WACCM) version 6 is applied in the specified dynamics mode for the year 2010, with and without MEE ionization rates. The results demonstrate that MEE ionization rates can modulate temperature, zonal wind and the residual circulation affecting NOx transport. The required fluxes of MEE to impose dynamical changes depend on the dynamical preconditions. During the Northern Hemispheric winter, even weak ionization rates can modulate the mesospheric signal of a sudden stratospheric warming event. The result is a game changer for the understanding of the MEE direct effect.

Python, 3.8.6