Dr. Ludger
Scherliess received his Physics Diploma with Honor from the University
of Bonn, Germany in 1992 and his Ph.D. degree in Physics from Utah
State University in 1997.
In September 1997, he was awarded a two-year CEDAR Postdoctoral
fellowship, which he spend in equal parts at the Center for Atmospheric
and Space Sciences at Utah State University and at the National
Center for Atmospheric Research in Boulder. From December 1999 until
August 2002, Dr. Scherliess was a Postdoctoral Fellow at the Center
for Atmospheric and Space Sciences at Utah State University. Since
September 2002, Dr. Scherliess is a Senior Research Associate at
the Center for Atmospheric and Space Sciences at Utah State University.
Dr. Scherliess has worked extensively on the interpretation of incoherent
scatter radar measurements from Jicamarca, Arecibo, Millstone Hill,
Saint Santin and the MU radar and the interpretation of satellite
measurements from the ESRO-4, DE-2, San Marco, and AE-E satellites.
He has developed several empirical models for the global and local
ionospheric electrodynamics, plasma drifts, and neutral parameters,
which include a global model for the thermospheric N2/O ratio during
geomagnetically active periods, a model for the equatorial ionospheric
electric fields during both geomagnetically quiet and disturbed
times, local quiet time and disturbance models for the ionospheric
plasma drifts at Jicamarca, Arecibo, Millstone Hill and St. Santin
and a global model for the low- and mid-latitude ionospheric electric
fields. His equatorial ionospheric plasma drift model represents
the plasma drifts in the International Reference Ionosphere (IRI).
Recently, Dr. Scherliess has developed numerical models for assimilating
ionospheric measurements into global ionospheric models. These models
employ data assimilation techniques that are similar to assimilation
techniques used in meteorological weather forecasting. He is the
main developer for the assimilation models used for the ionosphere
in GAIM and has developed local, regional and global assimilation
models with different levels of complexity from relatively simple,
computationally inexpensive Gauss-Markov models to fully physics-based
assimilation models for the global ionosphere that require parallel
computational networks.
Dr. Scherliess has authored or co-authored 21 scientific papers
and presented 30 presentations at both national and international
meetings. He organized a session on data assimilation techniques
at the 2003 IUGG meeting in Sapporo and is co-organizer of a session
on computational data analysis techniques at the 2003 AGU fall meeting.
In June 2003 he presented a tutorial on data assimilation techniques
for the space sciences at the annual GEM meeting in Snowmass. Dr.
Scherliess received the “Outstanding Student Paper Award”
from the American Geophysical Union in both 1995 and 1996.
Selected Publications
Scherliess, L., and B. G. Fejer, Satellite studies of mid- and low-latitude
ionospheric disturbance zonal plasma drifts, Geophys. Res. Lett.,
25, 1503, 1998.
Scherliess, L., and B. G. Fejer, Radar and satellite global equatorial
F region vertical drift model, J. Geophys. Res., 104, 6829, 1999.
Scherliess, L., B. G. Fejer, J. Holt, L. Goncharenko, C. Amory-Mazaudier,
and M. J. Buonsanto, Radar studies of mid-latitude ionospheric plasma
drifts, J. Geophys. Res., 106, 1771, 2001.
Scherliess, L., R.W. Schunk, J.J. Sojka, and D. Thompson, Development
of a Physics-Based Reduced State Kalman Filter for the Ionosphere,
Radio Science, 39, RS1S04, doi:10.1029/2002RS002797, 2004.
Scherliess, L., R. W. Schunk, J. J. Sojka, D. Thompson, and L. Zhu,
The USU GAIM Gauss-Markov Kalman filter model of the ionosphere:
Model description and validation, J. Geophys. Res., submitted, 2006.
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