J. Space Weather Space Clim.
Volume 6, 2016
Statistical Challenges in Solar Information Processing
|Number of page(s)||15|
|Published online||08 July 2016|
Prediction and warning system of SEP events and solar flares for risk estimation in space launch operations
UPC-IonSAT Research Group, Technical University of Catalonia (UPC), C/Jordi Girona 1-3, 08034
2 Space Weather Group, University of Malaga (UMA), Complejo Tecnológico, Campus de Teatinos, 29071 Málaga, Spain
3 Space Weather Research Group, Bradford University (UoB), Richmond Road, BD7 1DP Bradford, UK
4 ESA Space Environments & Effects section (TEC-EES), ESA-ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands
* Corresponding author: email@example.com
Accepted: 11 May 2016
A web-based prototype system for predicting solar energetic particle (SEP) events and solar flares for use by space launch operators is presented. The system has been developed as a result of the European Space Agency (ESA) project SEPsFLAREs (Solar Events Prediction system For space LAunch Risk Estimation). The system consists of several modules covering the prediction of solar flares and early SEP Warnings (labeled Warning tool), the prediction of SEP event occurrence and onset, and the prediction of SEP event peak and duration. In addition, the system acquires data for solar flare nowcasting from Global Navigation Satellite Systems (GNSS)-based techniques (GNSS Solar Flare Detector, GSFLAD and the Sunlit Ionosphere Sudden Total Electron Content Enhancement Detector, SISTED) as additional independent products that may also prove useful for space launch operators.
Key words: Space Weather / Solar energetic particles / Solar flares / Modeling / Prediction
© A. García-Rigo et al., Published by EDP Sciences 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.