Lab Home | Phone | Search
	Center for Nonlinear Studies
	Home  ▶ People   Current   Executive Committee   Postdocs   Visitors   Students   Research   Publications  ▶ Conferences   Workshops   Sponsorship  ▶ Talks   Seminars   Postdoc Seminars Archive   Quantum Lunch   Quantum Lunch Archive   P/T Colloquia   Archive   Ulam Scholar     Postdoc Nominations  ▶ Student Requests   Student Program  ▶ Visitor Requests   Description   Past Visitors  ▶ Services   General     History of CNLS     Maps, Directions   CNLS Office   T-Division   LANL				Tuesday, March 19, 20131:00 PM - 2:00 PMCNLS Conference Room (TA-3, Bldg 1690) Seminar Ensemble-based data assimilation for GITM: assimilating CHAMP neutral density and GPS TEC measurements Alexey MorozovUniversity 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