HR: 1330h
AN: GP13A-06    [Abstracts]
TI: Geomagnetic Data Assimilation with Satellite Measurements Using an Optimal Interpolation Approach
AU: * Kuang, W
EM: Kuang@bowie.gsfc.nasa.gov
AF: Space Geodesy Branch, Goddard Space Flight Center, Greenbelt, MD 20771 United States
AU: Tangborn, A
EM: tangborn@gmao.gsfc.nasa.gov
AF: JCET, Univesity of Maryland-Baltimore County, 1000 Hilltop Circle, Baltimore, MD 20250 United States
AB: Geomagnetic data assimilation involves combining surface geomagnetic observations with model outputs. Optimal interpolation is a simplification of the Kalman filter in which the relative weights of the model and observations are specified through a covariance model. Because geomagnetic data assimilation is in its early stages, there is not yet an accurate set of initial conditions available. We therefore use initial weighting of the model output which is substantially lower than the observation weighting. Weighting of the model is gradually increased during the course of the assimilation as information from previous observations is incorporated into the simulation. For this study, we use satellite geomagnetic measurements and the MoSST core dynamics model. The results are presented in terms of the evolution of the observed minus forecast value of the surface magnetic field over the past several decades
DE: 1507 Core processes (8115)
SC: Geomagnetism and Paleomagnetism [GP]
MN: 2005 Joint Assembly