Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/12682
Authors: Pignalberi, Alessio* 
Habarulema, John Bosco* 
Pezzopane, Michael* 
Rizzi, R.* 
Title: On the Development of a Method for Updating an Empirical Climatological Ionospheric Model by Means of Assimilated vTEC Measurements From a GNSS Receiver Network
Issue Date: Jun-2019
Series/Report no.: /17 (2019)
DOI: 10.1029/2019SW002185
URI: http://hdl.handle.net/2122/12682
Abstract: In this paper, a procedure for updating the International Reference Ionosphere (IRI) model by means of assimilated vertical total electron content (vTEC) measurements from a Global Navigational Satellite Systems (GNSS) receiver network is presented. This procedure stands as an additional implementation of the IRI UPdate (IRI UP) method, which is based on the assimilation of ionosonde derived F2 layer ionospheric characteristics. According to this, a mathematical procedure for obtaining foF2 and M(3000)F2 values from vTEC measurements is here proposed. Mathematical relationships between F2 layer characteristics and vTEC values have been derived using South African colocated ionosonde and GNSS stations. The same procedure can, however, be applied successfully in each region where such data are available. The goodness of the proposed IRI UP method, based on assimilated vTEC values, has been tested for several quiet and disturbed days in 2017 and 2018. IRI UP exhibits better performances than IRI for foF2, for most of the analyzed cases. Slight improvements are achieved in modeling hmF2 only for very disturbed periods in 2017. Due to the very good coverage of the terrestrial surface that GNSS receivers have achieved in recent years, we suggest that the method proposed here can be a good implementation of the IRI model for Space Weather nowcasting purposes, at least for foF2.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
2019_SpaceWeather_vTEC.pdffull paper6.83 MBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check

Altmetric