Model Bias Correction for Ionospheric Data Assimilation
Abstract
This talk will discuss the potential application of a bias correction scheme to the Thermosphere Ionosphere Electrodynamics General Circulation Model, with particular emphasis on its performance duing a geomagnetic storm event, when errors in geomagnetic driving indices may be most pronounced. I will describe some observing system simulation experiments that suggest that simple models of the evolution of the model bias may be provide meaningful reductions in 1-hour, root-mean-squared forecasts of electron density in the D, E, and F layers. Potential future improvements on the basic approach also will be discussed.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2020
- Bibcode:
- 2020AGUFMNG0020029K
- Keywords:
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- 3315 Data assimilation;
- ATMOSPHERIC PROCESSES;
- 3238 Prediction;
- MATHEMATICAL GEOPHYSICS;
- 3260 Inverse theory;
- MATHEMATICAL GEOPHYSICS;
- 3275 Uncertainty quantification;
- MATHEMATICAL GEOPHYSICS