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dc.contributor.authorLewis, O
dc.contributor.authorBrunt, C
dc.contributor.authorKitchen, M
dc.date.accessioned2023-02-27T11:46:13Z
dc.date.issued2023-02-27
dc.date.updated2023-02-27T11:13:40Z
dc.description.abstractIt is proposed to obtain information on atmospheric refractivity structure by measuring the angle of arrival (AoA) of radio signals routinely broadcast by commercial aircraft. The angle of arrival would be measured at hill-top sites using a simple two-element interferometer. Knowledge of the aircraft’s location (information conveniently contained within the broadcasts) and the AoA will enable the bending angle of the signals to be calculated. As measurable bending will only occur at grazing incidence, sources of signals either very close to the radio horizon, or at a similar height to the interferometer, are essential. The routine navigational data broadcasts from civil aircraft represent the ideal source. In areas of high air traffic density such as the UK, ∼ 10⁵ - 10⁶ bending angle measurements may be possible each day. Numerical weather prediction models routinely assimilate bending angles retrieved from GNSS radio occultation data, so it is anticipated that assimilation methods could be developed that are able to make good use of this new source of bending angle data. Sensitivity tests were performed to estimate the resolution of humidity retrievals assuming a target AoA accuracy of 0.01°. Simulated annealing was used to demonstrate the ability to retrieve relative humidity and mixing ratio vertical profiles using AoA measurements. It is shown that for observed AoA measurements with an accuracy of 0.01° it should be possible to retrieve relative humidity and mixing ratio vertical profiles with an accuracy of ∼ 5% and ∼ 0.5 g/kg respectively. An AoA accuracy of 0.01° should be achievable using hardware costing ∼ €10k, however further hardware development is still required.en_GB
dc.description.sponsorshipUniversity of Exeter (College of Engineering, Mathematics and Physical Sciences)en_GB
dc.description.sponsorshipMet Officeen_GB
dc.identifier.citationVol. 44 (3), pp. 749-785en_GB
dc.identifier.doihttps://doi.org/10.1080/01431161.2023.2170192
dc.identifier.grantnumber118558en_GB
dc.identifier.urihttp://hdl.handle.net/10871/132561
dc.language.isoenen_GB
dc.publisherTaylor & Francisen_GB
dc.relation.urlhttp://catalogue.ceda.ac.uk/uuid/c1e2240c353f8edeb98087e90e6d832een_GB
dc.rights© 2023 Crown Copyright. Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.en_GB
dc.titleA new method of retrieving atmospheric refractivity structureen_GB
dc.typeArticleen_GB
dc.date.available2023-02-27T11:46:13Z
dc.descriptionThis is the final version. Available on open access from Taylor & Francis via the DOI in this recorden_GB
dc.descriptionData availability statement: The radiosonde data that support the findings of this study are available in ‘Met Office (2006): Met Office high resolution radiosonde data from the UK, Gibraltar, St Helena and the Falkland Islands’, CEDA Archive at http://catalogue.ceda.ac.uk/uuid/c1e2240c353f8edeb98087e90e6d832e. (Accessed 10 May 2022).en_GB
dc.identifier.eissn1366-5901
dc.identifier.journalInternational Journal of Remote Sensingen_GB
dc.relation.ispartofInternational Journal of Remote Sensing
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2023-01-12
dcterms.dateSubmitted2022-08-19
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-02-27
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-02-27T11:13:44Z
refterms.versionFCDAM
refterms.dateFOA2023-02-27T11:46:17Z
refterms.panelBen_GB


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© 2023 Crown Copyright. Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Except where otherwise noted, this item's licence is described as © 2023 Crown Copyright. Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.