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  • A real-time hybrid aurora alert system

    Rights statement: Accepted for publication in Earth and Space Science). Copyright 2016 American Geophysical Union. Further reproduction or electronic distribution is not permitted.

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    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

  • Case_et_al-2016-Earth_and_Space_Science

    Rights statement: ©2016. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made

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    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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A real-time hybrid aurora alert system: combining citizen science reports with an auroral oval model

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<mark>Journal publication date</mark>9/07/2016
<mark>Journal</mark>Earth and Space Science
Issue number6
Volume3
Number of pages9
Pages (from-to)257-265
<mark>State</mark>Published
Early online date15/06/16
<mark>Original language</mark>English

Abstract

Accurately predicting when, and from where, an aurora will be visible is particularly difficult, yet it is a service much desired by the general public. Several aurora alert services exist that attempt to provide such predictions but are, generally, based upon fairly coarse estimates of auroral activity (e.g. Kp or Dst). Additionally, these services are not able to account for a potential observer's local conditions (such as cloud cover or level of darkness). Aurorasaurus, however, combines data from the well-used, solar wind driven, OVATION Prime auroral oval model with real-time observational data provided by a global network of citizen scientists. This system is designed to provide more accurate and localized alerts for auroral visibility than currently available. Early results are promising and show that over 100,000 auroral visibility alerts have been issued, including nearly 200 highly localized alerts, to over 2,000 users located right across the globe.

Bibliographic note

©2016. The Authors.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the
use is non-commercial and no modifications or adaptations are made