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    Ionospheric Modelling using GPS to Calibrate the MWA. II: Regional Ionospheric Modelling using GPS and GLONASS to Estimate Ionospheric Gradients

    241754_241754.pdf (4.637Mb)
    Access Status
    Open access
    Authors
    Arora, B.
    Morgan, J.
    Ord, S.
    Tingay, Steven
    Bell, M.
    Callingham, J.
    Dwarakanath, K.
    For, B.
    Hancock, P.
    Hindson, L.
    Hurley-Walker, N.
    Johnston-Hollitt, M.
    Kapinska, A.
    Lenc, E.
    McKinley, B.
    Offringa, A.
    Procopio, P.
    Staveley-Smith, L.
    Wayth, Randall
    Wu, C.
    Zheng, Q.
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Arora, B. and Morgan, J. and Ord, S. and Tingay, S. and Bell, M. and Callingham, J. and Dwarakanath, K. et al. 2016. Ionospheric Modelling using GPS to Calibrate the MWA. II: Regional Ionospheric Modelling using GPS and GLONASS to Estimate Ionospheric Gradients. Publications of the Astronomical Society of Australia. 33: Article e031.
    Source Title
    Publications of the Astronomical Society of Australia
    DOI
    10.1017/pasa.2016.22
    ISSN
    1323-3580
    School
    Curtin Institute of Radio Astronomy (Physics)
    Remarks

    This version of the article has been accepted for publication and will appear in a revised form subsequent to peer review and / or editorial input

    URI
    http://hdl.handle.net/20.500.11937/46664
    Collection
    • Curtin Research Publications
    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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