We provide an in-depth examination of the MERRA-2 reanalysis dataset, enabling a spatiotemporal characterization of the Godzilla event and a reconstruction of a new Jordan Mean Sounding during this event. We incorporate GOES satellite measurements, encompassing aerosol vertical profiles, to quantitatively assess the distribution and loading of aerosol particles during the event. These satellite-derived aerosol properties serve as crucial inputs for conducting rigorous radiative transfer simulations.
By harnessing the Fu-Liou-Gu radiative transfer model, we simulate the radiative impacts of the Godzilla dust event on both shortwave and longwave radiation fluxes within the atmosphere. The observed aerosol properties are assimilated into the models, thereby enabling a comprehensive analysis of direct and indirect radiative effects arising from the interaction of dust particles with solar and thermal radiation. Furthermore, we meticulously evaluate the associated heating rates across various atmospheric levels, thereby elucidating the vertical distribution of radiative heating linked to the dust event. This research advances our comprehension of extreme dust events' intricate radiative and thermodynamic impacts, contributing vital knowledge to atmospheric models and developing effective mitigation strategies.

