Ionospheric Data Assimilation with GPS data: Slant versus Vertical TEC

Details Ionospheric Data Assimilation with GPS data: Slant versus Vertical TEC Ionospheric Data Assimilation with GPS data: Slant versus Vertical TEC

Dec 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufmsa21a1863f&link_type=abstract

American Geophysical Union, Fall Meeting 2011, abstract #SA21A-1863

Physics

[2447] Ionosphere / Modeling And Forecasting, [2494] Ionosphere / Instruments And Techniques, [6929] Radio Science / Ionospheric Physics, [7959] Space Weather / Models

Scientific paper

There are a number of Global Positioning System (GPS) total electron content (TEC) data sets widely used in the ionospheric community including the MIT Madrigal and the NASA Jet Propulsion Laboratory (JPL) database. Understanding the differences of the datasets are important for empirical and physics-based modeling efforts especially those involving ionospheric data assimilation. For this study, we are comparing the Madrigal database's World Wide GPS receiver network with JPL processed GPS data from nearly 200 stations. We will investigate two data assimilation models using these data: University of Michigan's Global Ionosphere Thermosphere Model (GITM) and the JPL Global Assimilative Ionospheric Model (GAIM). The Madrigal data product provides gridded vertical total electron content (VTEC) based on data from a worldwide network of GPS receivers, in an easily accessible format without the need to process individual line of sight measurements. JPL uses raw data (RINEX files) from each GPS receiver to produce slant TEC (STEC) output between each receiver and satellite line of sight. Interfrequency biases at JPL are estimated using a model-assisted global mapping approach. We compare the Madrigal and JPL TEC data products to analyze differences in their ionospheric and bias estimation algorithms. This study will also compare data assimilation results using with VTEC and STEC.

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