CEDAR email: New Database of GNSS-TEC Fluctuations over CONUS

[Inchin, Pavel]

Dear Colleagues,

We are pleased to announce the publication of a new database of total electron content (TEC) fluctuation map data observed over Continental United States (CONUS). These data were analyzed in the framework of the System for Rapid Analysis of Ionospheric Dynamics based on GNSS TEC Signals.

The System performs the downloading, parsing, and processing of GNSS signal measurements and mapping the geometry of their observations, calculation of slant and vertical TEC and subsequent visualization for selected band-passes of fluctuations with periods shorter than two hours. In routine operation, the System processes 15-30 sec GNSS signal measurements recorded over CONUS from 2700 stations daily.

The System is oriented towards rapid access to GNSS sTEC/vTEC data for the assessment and investigation of traveling ionospheric disturbances (TIDs) of various nature. Revealed clearly in data are large scale TIDs (LSTIDs), to medium scale TIDs (MSTIDs), and irregularities extending down to ~10s of km and minutes periods. The filter bandpasses for this set of data were selected to especially capture MSTIDs driven from below, by atmospheric acoustic and gravity wave dynamics above meteorology.

For this initial release, the System’s archive provides a simple hierarchical interface to high-resolution overview animations of processed vTEC observations, mapped over CONUS for years 2017-2023. The animated visualizations can be previewed online or downloaded directly from the web-archive in an MP4 format.

The access to the database is provided through Embry-Riddle Aeronautical University's Data Commons:
https://datacommons.erau.edu/datasets/jbx98yscmd/1<hps://datacommons.erau.edu/datasets/jbx98yscmd/1>, and can also be found under DOI 10.17632/jbx98yscmd.1 (https://doi.org/10.17632/jbx98yscmd.1). Please direct any questions on collaborative uses of the data to us, the authors; contact information, acknowledgements, and more are provided through the archive page.

Best regards,
Pavel Inchin, Jonathan Snively and Matthew Zettergren.
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