Improved Basis Functions for Dynamic Calibration of Semi-Empirical Thermospheric Models

Details Improved Basis Functions for Dynamic Calibration of Semi-Empirical Thermospheric Models Improved Basis Functions for Dynamic Calibration of Semi-Empirical Thermospheric Models

Dec 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufmsm31b2096s&link_type=abstract

American Geophysical Union, Fall Meeting 2011, abstract #SM31B-2096

Physics

[0358] Atmospheric Composition And Structure / Thermosphere: Energy Deposition, [3369] Atmospheric Processes / Thermospheric Dynamics, [7959] Space Weather / Models, [7969] Space Weather / Satellite Drag

Scientific paper

Accurate model representations of the upper atmosphere are not currently possible without the use of data assimilation or calibration. Due to incomplete global data sampling in the thermosphere, such calibration has only been successfully demonstrated by fitting the available data to a low-dimensional model. The High Accuracy Satellite Drag Model (HASDM), used by the Space Surveillance Network to track low-earth orbiting satellites, fits recent data to a truncated set of spherical harmonics. In this study, our goal is to replace this low-order spherical harmonic expansion with a set of basis functions better suited to capture the spatial variability and response of the thermosphere. By comparing the base model of HASDM with the Thermosphere-Ionosphere-Electrodynamic General Circulation Model (TIEGCM), we create a new set of orthogonal basis function that can be used to calibrate semi-empirical models such as HASDM with increased accuracy in the presence of sparse data. We present comparisons between the conventional and new approach, as well as validation with measurements of total mass density from the accelerometers on the CHAMP and GRACE satellites.

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