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Assimilative modeling of low latitude ionosphere

Show simple item record Pi, Xiaoqing Wang, Chunining Hajj, George A. Rosen, I. Gary Wilson, Brian D. Mannucci, Anthony J. 2006-01-25T23:10:54Z 2006-01-25T23:10:54Z 2004-04-26
dc.identifier.citation IEEE Position Location and Navigation Symposium, Monterey, CA, April 26-29, 2004. en
dc.identifier.clearanceno 04-0712
dc.description.abstract In this paper we present an observation system simulation experiment for modeling low-latitude ionosphere using a 3-dimensional (3-D) global assimilative ionospheric model (GAIM). The experiment is conducted to test the effectiveness of GAIM with a 4-D variational approach (4DVAR) in estimation of the ExB drift and thermospheric wind in the magnetic meridional planes simultaneously for all longitude or local time sectors. The operational Global Positioning System (GPS) satellites and the ground-based global GPS receiver network of the International GPS Service are used in the experiment as the data assimilation source. 'The optimization of the ionospheric state (electron density) modeling is performed through a nonlinear least-squares minimization process that adjusts the dynamical forces to reduce the difference between the modeled and observed slant total electron content in the entire modeled region. The present experiment for multiple force estimations reinforces our previous assessment made through single driver estimations conducted for the ExB drift only. en
dc.description.sponsorship NASA/JPL en
dc.format.extent 1765053 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2004 en
dc.subject ionospheric modeling en
dc.subject numerical modeling en
dc.subject data assimilation en
dc.title Assimilative modeling of low latitude ionosphere en
dc.type Preprint en

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