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

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 acti...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Earth and space science (Hoboken, N.J.) N.J.), 2016-06, Vol.3 (6), p.257-265
Hauptverfasser: Case, N. A., Kingman, D., MacDonald, E. A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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 2000 users located right across the globe. Key Points Citizen science reports are combined with the OVATION Prime aurora model to predict auroral visibility Using the model and reports, a real‐time adaptable aurora view line is created and alerts are issued Over 100,000 aurora alerts have been issued thus far to over 2000 users from across the globe
ISSN:2333-5084
2333-5084
DOI:10.1002/2016EA000167