Mathematics
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agufmsa22a..05g&link_type=abstract
American Geophysical Union, Fall Meeting 2002, abstract #SA22A-05
Mathematics
2753 Numerical Modeling, 2784 Solar Wind/Magnetosphere Interactions, 7819 Experimental And Mathematical Techniques
Scientific paper
Recently, there has been significant progress in data assimilation technology into global ionosphere models. However, global magnetosphere models represent a new challenge since the in-situ magnetospheric data stream is spatially and temporally very sparse. This fact represents new mathematical challenges for data assimilation techniques. This talk briefly outlines the physics and mathematics of previous data-rich inversion techniques, and discusses the mathematical challenges and potential avenues for progress in the data-limited regime of data assimilation techniques.
Bernstein Dennis S.
Clauer Robert C.
Gombosi Tamas I.
Powell Kenneth G.
Ridley Aaron J.
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