Improving the Thermosphere Ionosphere in a Whole Atmosphere Model by
Assimilating GOLD Disk Temperatures
Fazlul I Laskar

Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO, USA, Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO, USA, Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO, USA
Corresponding Author:fazlul.laskar@lasp.colorado.edu
Author ProfileAbstract
Global-scale Observations of Limb and Disk (GOLD) disk measurements of
far ultraviolet molecular nitrogen band emissions are used to retrieve
column integrated disk temperatures (T$_{disk}$), which are
representative of the lower-and-middle thermosphere. The present work
develops a new approach to assimilate the T$_{disk}$ in the Whole
Atmosphere Community Climate Model with thermosphere-ionosphere
eXtension (WACCMX) using the Data Assimilation Research Testbed (DART)
ensemble adjustment Kalman filter. A total of 9 days of data during 1 to
9 November 2018 are assimilated. Analysis state variables such as
thermospheric effective temperature (T$_{eff}$), ratio of atomic
oxygen to molecular nitrogen column densities (O/N$_2$), and column
electron content are compared with a control simulation that is only
constrained up to $\sim$50 km. It is observed that
assimilation of the GOLD T$_{disk}$ improves the analysis states
when compared with the control simulation. The analysis states,
particularly, T$_{eff}$, O/N$_2$, and column electron contents
are also compared with their measurement counterparts for the validation
of the assimilation. T$_{eff}$ and O/N$_2$ are compared with
GOLD T$_{disk}$ and O/N$_2$. While, the Electron Column Density
(ECD) from the analyses is compared with ground based Total Electron
Content (TEC) measurements from Global Navigational Satellite System
(GNSS) receivers. Root Mean Square Error (RMSE) improvements in
T$_{eff}$ and O/N$_2$ are about 12.8% and 13.2%, respectively.
The RMSE improvement in analyses ECD is about 8% compared to control
simulation.