Improving ionospheric imaging via the incorporation of direct ionosonde observations into GPS tomography

C. Cooper, A. T. Chartier, C. Mitchell, D. R. Jackson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The Multi Instrument Data Analysis system, MIDAS is an algorithm that images the ionosphere in three or four dimensions and was originally developed by Mitchell and Spencer (2003) [1]. MIDAS often operates using GPS measurements of slant Total Electron Content, but Chartier et al. [2012] [2] showed that incorporating ionosonde data into the algorithm could improve imaging of the ionosphere in the vertical dimension. Here we extend the technique to incorporation of multiple ionosondes, the key problem is to transition horizontally between regions of different peak height and changing densities. This approach is validated via comparisons with independent satellite data.

Original languageEnglish
Title of host publication2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
PublisherIEEE
Pages1-3
ISBN (Print)9781467352253
DOIs
Publication statusPublished - 2014
Event2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014 - Beijing, UK United Kingdom
Duration: 16 Aug 201423 Aug 2014

Conference

Conference2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
CountryUK United Kingdom
CityBeijing
Period16/08/1423/08/14

Fingerprint

tomography
ionosphere
GPS
satellite data
incorporation
data analysis
comparison
total electron content

Cite this

Cooper, C., Chartier, A. T., Mitchell, C., & Jackson, D. R. (2014). Improving ionospheric imaging via the incorporation of direct ionosonde observations into GPS tomography. In 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014 (pp. 1-3). IEEE. https://doi.org/10.1109/URSIGASS.2014.6929839

Improving ionospheric imaging via the incorporation of direct ionosonde observations into GPS tomography. / Cooper, C.; Chartier, A. T.; Mitchell, C.; Jackson, D. R.

2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. IEEE, 2014. p. 1-3.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cooper, C, Chartier, AT, Mitchell, C & Jackson, DR 2014, Improving ionospheric imaging via the incorporation of direct ionosonde observations into GPS tomography. in 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. IEEE, pp. 1-3, 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014, Beijing, UK United Kingdom, 16/08/14. https://doi.org/10.1109/URSIGASS.2014.6929839
Cooper C, Chartier AT, Mitchell C, Jackson DR. Improving ionospheric imaging via the incorporation of direct ionosonde observations into GPS tomography. In 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. IEEE. 2014. p. 1-3 https://doi.org/10.1109/URSIGASS.2014.6929839
Cooper, C. ; Chartier, A. T. ; Mitchell, C. ; Jackson, D. R. / Improving ionospheric imaging via the incorporation of direct ionosonde observations into GPS tomography. 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. IEEE, 2014. pp. 1-3
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