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

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

doi:10.1109/URSIGASS.2014.6929839

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 or section in a book/report/conference proceeding › Chapter in a published conference proceeding

1 Citation (SciVal)

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 language	English
Title of host publication	2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
Publisher	IEEE
Pages	1-3
ISBN (Print)	9781467352253
DOIs	https://doi.org/10.1109/URSIGASS.2014.6929839
Publication status	Published - 2014
Event	2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014 - Beijing, UK United Kingdom Duration: 16 Aug 2014 → 23 Aug 2014

Conference

Conference	2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
Country/Territory	UK United Kingdom
City	Beijing
Period	16/08/14 → 23/08/14

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10.1109/URSIGASS.2014.6929839

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Improving ionospheric imaging via the incorporation of direct ionosonde observations into GPS tomography. / Cooper, C.; Chartier, A. T.; Mitchell, C. et al.
2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. IEEE, 2014. p. 1-3.

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

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

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

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