Journal article
Ionospheric modelling using GPS to calibrate the MWA. II: Regional ionospheric modelling using GPS and GLONASS to estimate ionospheric gradients
BS Arora, J Morgan, SM Ord, SJ Tingay, M Bell, JR Callingham, KS Dwarakanath, BQ For, P Hancock, L Hindson, N Hurley-Walker, M Johnston-Hollitt, AD Kapińska, E Lenc, B McKinley, AR Offringa, P Procopio, L Staveley-Smith, RB Wayth, C Wu Show all
Publications of the Astronomical Society of Australia | CAMBRIDGE UNIV PRESS | Published : 2016
DOI: 10.1017/pasa.2016.22
Abstract
We estimate spatial gradients in the ionosphere using the Global Positioning System and GLONASS (Russian global navigation system) observations, utilising data from multiple Global Positioning System stations in the vicinity of Murchison Radio-astronomy Observatory. In previous work, the ionosphere was characterised using a single-station to model the ionosphere as a single layer of fixed height and this was compared with ionospheric data derived from radio astronomy observations obtained from the Murchison Widefield Array. Having made improvements to our data quality (via cycle slip detection and repair) and incorporating data from the GLONASS system, we now present a multi-station approach..
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Awarded by STFC
Funding Acknowledgements
The authors wish to thank John Kennewell from Curtin University for the valuable discussions. This scientific work makes use of the Murchison Radio-astronomy Observatory, operated by CSIRO. We acknowledge the Wajarri Yamatji people as the traditional owners of the Observatory site. Support for the operation of the MWA is provided by the Australian Government Department of Industry and Science and Department of Education (National Collaborative Research Infrastructure Strategy: NCRIS), under a contract to Curtin University administered by Astronomy Australia Limited. We acknowledge the iVEC Petabyte Data Store and the Initiative in Innovative Computing and the CUDA Center for Excellence sponsored by NVIDIA at Harvard University.