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Title:
Ionospheric Modelling using GPS to Calibrate the MWA. II: Regional Ionospheric Modelling using GPS and GLONASS to Estimate Ionospheric Gradients
Authors:
Arora, B. S.; Morgan, J.; Ord, S. M.; Tingay, S. J.; Bell, M.; Callingham, J. R.; Dwarakanath, K. S.; For, B.-Q.; Hancock, P.; Hindson, L.; Hurley-Walker, N.; Johnston-Hollitt, M.; Kapinska, A. D.; Lenc, E.; McKinley, B.; Offringa, A. R.; Procopio, P.; Staveley-Smith, L.; Wayth, R. B.; Wu, C.; Zheng, Q.
Affiliation:
AA(International Centre for Radio Astronomy Research, Curtin University, Bentley, WA 6102, Australia), AB(International Centre for Radio Astronomy Research, Curtin University, Bentley, WA 6102, Australia), AC(International Centre for Radio Astronomy Research, Curtin University, Bentley, WA 6102, Australia), AD(International Centre for Radio Astronomy Research, Curtin University, Bentley, WA 6102, Australia), AE(School of Physics, Sydney Institute for Astronomy, The University of Sydney, NSW 2016, Australia), AF(CSIRO Astronomy and Space Science (CASS), PO Box 76, Epping, NSW 1710, Australia; School of Physics, Sydney Institute for Astronomy, The University of Sydney, NSW 2016, Australia; ARC Centre of Excellence for All-Sky Astrophysics (CAASTRO), Redfern, NSW 2016, Australia), AG(Raman Research Institute, Bangalore 560080, India), AH(International Centre for Radio Astronomy Research (ICRAR), University of Western Australia, Crawley, WA 6009, Australia), AI(International Centre for Radio Astronomy Research, Curtin University, Bentley, WA 6102, Australia; ARC Centre of Excellence for All-Sky Astrophysics (CAASTRO), Redfern, NSW 2016, Australia), AJ(School of Chemical & Physical Sciences, Victoria University of Wellington, Wellington 6140, New Zealand), AK(International Centre for Radio Astronomy Research, Curtin University, Bentley, WA 6102, Australia), AL(School of Chemical & Physical Sciences, Victoria University of Wellington, Wellington 6140, New Zealand), AM(International Centre for Radio Astronomy Research (ICRAR), University of Western Australia, Crawley, WA 6009, Australia; ARC Centre of Excellence for All-Sky Astrophysics (CAASTRO), Redfern, NSW 2016, Australia), AN(School of Physics, Sydney Institute for Astronomy, The University of Sydney, NSW 2016, Australia; ARC Centre of Excellence for All-Sky Astrophysics (CAASTRO), Redfern, NSW 2016, Australia), AO(Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 2611, Australia; ARC Centre of Excellence for All-Sky Astrophysics (CAASTRO), Redfern, NSW 2016, Australia), AP(Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 2611, Australia), AQ(School of Physics, The University of Melbourne, Parkville, VIC 3010, Australia; ARC Centre of Excellence for All-Sky Astrophysics (CAASTRO), Redfern, NSW 2016, Australia), AR(International Centre for Radio Astronomy Research (ICRAR), University of Western Australia, Crawley, WA 6009, Australia; ARC Centre of Excellence for All-Sky Astrophysics (CAASTRO), Redfern, NSW 2016, Australia), AS(International Centre for Radio Astronomy Research, Curtin University, Bentley, WA 6102, Australia; ARC Centre of Excellence for All-Sky Astrophysics (CAASTRO), Redfern, NSW 2016, Australia 0000-0002-6995-4131), AT(International Centre for Radio Astronomy Research (ICRAR), University of Western Australia, Crawley, WA 6009, Australia), AU(School of Chemical & Physical Sciences, Victoria University of Wellington, Wellington 6140, New Zealand)
Publication:
Publications of the Astronomical Society of Australia, Volume 33, id.e031 14 pp. (PASA Homepage)
Publication Date:
07/2016
Origin:
CUP
Astronomy Keywords:
atmospheric effects, techniques: interferometric
Abstract Copyright:
2016: Astronomical Society of Australia
DOI:
10.1017/pasa.2016.22
Bibliographic Code:
2016PASA...33...31A

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. These two developments significantly improve our modelling of the ionosphere. We also explore the effects of a variable-height model. We conclude that modelling the small-scale features in the ionosphere that have been observed with the MWA will require a much denser network of Global Navigation Satellite System stations than is currently available at the Murchison Radio-astronomy Observatory.
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