My current project deals with performing data assimilation on a space weather model. The particular data assimilation algorithm we use is Ensemble Adjustment Kalman Filter (EAKF), which is a part of Data Assimilation Research Testbed (DART). The particular model we perform data assimilation on is Global Ionosphere-Thermosphere Model (GITM, 2).
So far the focus has been on input reconstruction. More precisely, one of GITM's inputs is solar radio flux at a wavelength of 10.7 cm (which is why it is called F10.7 index). The objective of this project is to estimate F10.7 based on mass density measurements provided by the CHAllenging Minisatellite Payload (CHAMP).
We are successful in estimating single input (F10.7, see plot in upper right corner on this page) and are moving towards estimating multiple inputs.

Neat plot: the dawn-dusk diagram in the upper left shows mass density snapshot from GITM at the altitude of 400km along with CHAMP and GRACE trajectories (animated version).

Previous Projects

Previous version of this page talked about my previous project (Retrospective Cost Adaptive Control).

Last updated 15 January 2013. morozova [{at}] umich [{.}] edu