A Comparative Study of Spectral Auroral Intensity Predictions From Multiple Electron Transport Models. Issue 1 (29th January 2018)

• Record Type: Journal Article
• Authors: Grubbs, Guy; Michell, Robert; Samara, Marilia; Hampton, Donald; Hecht, James; Solomon, Stanley; Jahn, Jorg‐Micha
• Is Part Of: Journal of geophysical research. Volume 123:Issue 1(2018)
• Page Start: 993
• Page End: 1005
• Publication Date: 2018-01-29
• Subjects: aurora -- electron transport model -- chemical reactions -- ionosphere thermosphere model; Magnetospheric physics -- Periodicals; Space environment -- Periodicals; Cosmic physics -- Periodicals; Planets -- Atmospheres -- Periodicals; Heliosphere (Astrophysics) -- Periodicals; Geophysics -- Periodicals; 523.01
• DOI: 10.1002/2017JA025026
• Languages: English
• ISSNs: 2169-9380

Abstract

Abstract: It is important to routinely examine and update models used to predict auroral emissions resulting from precipitating electrons in Earth's magnetotail. These models are commonly used to invert spectral auroral ground‐based images to infer characteristics about incident electron populations when in situ measurements are unavailable. In this work, we examine and compare auroral emission intensities predicted by three commonly used electron transport models using varying electron population characteristics. We then compare model predictions to same‐volume in situ electron measurements and ground‐based imaging to qualitatively examine modeling prediction error. Initial comparisons showed differences in predictions by the GLobal airglOW (GLOW) model and the other transport models examined. Chemical reaction rates and radiative rates in GLOW were updated using recent publications, and predictions showed better agreement with the other models and the same‐volume data, stressing that these rates are important to consider when modeling auroral processes. Predictions by each model exhibit similar behavior for varying atmospheric constants, energies, and energy fluxes. Same‐volume electron data and images are highly correlated with predictions by each model, showing that these models can be used to accurately derive electron characteristics and ionospheric parameters based solely on multispectral optical imaging data. Key Points: Transport models are compared using predicted emission intensities as well as in situ data Chemical reaction and emission rates of the GLOW model are updated using recent publications Similar emission yield is predicted by each for varying electron and atmospheric values