Upper Atmosphere Radiance Data Assimilation: A Feasibility Study for GOLD Far Ultraviolet Observations

Abstract
<p>Far ultraviolet observations of Earth\textquoterights dayglow from the National Aeronautics and Space Administration (NASA) Global-scale Observations of the Limb and Disk (GOLD) mission presents an unparalleled opportunity for upper atmosphere radiance data assimilation. Assimilation of the Lyman-Birge-Hopfield (LBH) band emissions can be formulated in a similar fashion to lower atmosphere radiance data assimilation approaches. To provide a proof-of-concept for such an approach, this paper presents assimilation experiments of simulated LBH emission data using an ensemble filter measurement update step implemented with National Oceanic and Atmospheric Administration (NOAA)\textquoterights Whole Atmosphere Model (WAM) and National Center for Atmospheric Research (NCAR)\textquoterights Global Airglow (GLOW) model. Primary findings from observing system simulation experiments (OSSEs), wherein \textquotedbllefttruth\textquotedblright atmospheric conditions simulated by NCAR\textquoterights Thermosphere Ionosphere Electrodynamic General Circulation Model (TIEGCM) are used to generate synthetic GOLD data, are as follows: (1) Assimilation of GOLD LBH disk emission data can reduce the bias in model temperature specification (ensemble mean) by 60\% under both geomagnetically quiet conditions and disturbed conditions. (2) The reduction in model uncertainty (ensemble spread) as a result of assimilation is about 20\% in the lower thermosphere and 30\% in the upper thermosphere for both conditions. These OSSEs demonstrate the potential for far ultraviolet radiance data assimilation to dramatically reduce the model biases in thermospheric temperature specification and to extend the utility of GOLD observations by helping to resolve the altitude-dependent global-scale response of the thermosphere to geomagnetic storms.</p>
Year of Publication
2019
Journal
Journal of Geophysical Research: Space Physics
Date Published
10/2019
ISSN Number
2169-9380
URL
https://onlinelibrary.wiley.com/doi/abs/10.1029/2019JA026910
DOI
10.1029/2019JA026910