Physics
Scientific paper
Oct 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000georl..27.3297a&link_type=abstract
Geophysical Research Letters, Volume 27, Issue 20, p. 3297-3300
Physics
9
Meteorology And Atmospheric Dynamics: Middle Atmosphere Dynamics, Meteorology And Atmospheric Dynamics: Numerical Modeling And Data Assimilation, Meteorology And Atmospheric Dynamics: Thermospheric Dynamics
Scientific paper
A technique is developed for reducing the amount of aliasing in the spectral analysis of TIDI observations, by ingestion of ground-based data into the satellite data set. A multi-dimensional (space-time) least squares fitting approach is applied to the satellite and ground-based data to determine the aliasing spectra. The addition of ground-based data to the TIDI data set reduces the aliased components in the aliasing spectrum. For example, at 20° latitude, the combined ground-based and TIDI data set of a sampled input semidiurnal (frequency of 2days-1) signal with zonal wavenumber 2 results in a factor of 2 reduction in the amount of power aliasing into a signal with zonal wavenumber 0 and frequency 0days-1.
Azeem M. I. S.
Gell David A.
Johnson Mark R.
Killeen Tim L.
Wu Qingwen
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