Global Ionospheric Radio Observatory (GIRO)

By Bodo W. Reinisch, Ivan Galkin. 2011

437 citations recorded by the source corpus.

Digisonde ionospheric sounders installed at 80+ locations in the world have gradually evolved their generally independent existence into a Global Ionospheric Radio Observatory (GIRO) portal. Today GIRO provides public access to 30+ million records of ionospheric measurements collected at 64 locations, of which 42 provide realtime feeds, publishing their measurement data within several minutes from their completion. GIRO databases holding ionogram and Doppler skymap records of high-frequency ionospheric soundings have registered connections from 123 organizations in 33 countries. Easy access to the global state of the ionospheric plasma distribution given in accurate and fine detail by the ionosonde measurements has inspired a number of studies of the ionospheric response to space weather events. Availability of GIRO data with minimal latency allows for the assimilation of the ionogram-derived data in real-time models such as the real-time extension planned for the International Reference Ionosphere.

Subfields: Aerospace Engineering, Astronomy and Astrophysics, Geophysics

View Paper: https://www.semanticscholar.org/paper/aefc100c5c6d25c9b5246a5a6bc0a6495b2f4f17

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Citations in the corpus

The international reference ionosphere today and in the future (2011, background): “The number of real-time ionosondes is increasing (Reinisch and Galkin 2010) and data are available from an ever-increasing global network of dual-frequency GNSS receivers providing slant path electron content.”
Middle‐ and low‐latitude ionosphere response to 2015 St. Patrick's Day geomagnetic storm (2016, methodology): “Manually scaled peak parameter data have been considered for the F2 ionospheric layer analysis, [Reinisch and Galkin, 2011].”
Assimilation of GIRO data into a real‐time IRI (2012, methodology): “The IRI-RTAM approach will initially use data from the Global Ionospheric Radio Observatory (GIRO) [Reinisch and Galkin, 2011], whose sensor locations are shown in Figure 1, to smoothly transform IRI’s climatologic maps of the ionospheric characteristics so that they match the observations.”