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Tuesday, March 19, 2013
1:00 PM - 2:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

Ensemble-based data assimilation for GITM: assimilating CHAMP neutral density and GPS TEC measurements

Alexey Morozov
University of Michgan

This talk demonstrates data assimilation for the global ionosphere-thermosphere model (GITM). In particular, the ensemble adjustment Kalman filter (EAKF) is shown to estimate model states (densities, temperatures, and velocities for various species) and a model driver (F10.7). Innovative ensemble approach tailored for driver estimation is shown to improve error performance compared to the traditional inflation approaches. The measurements used in the simple assimilation cases come from the Challenging Minisatellite Payload (CHAMP) and then are increased in complexity to use the GPS vertical total electron content (TEC) measurements. TEC measurements are shown to have a more global effect than the CHAMP measurements, but in both cases model bias is removed and the model driver is estimated.

Host: Humberto Godinez