Geomagnetic storm forecasting service StormFocus: 5 years online

Forecasting geomagnetic storms is highly important for many space weather applications. In this study, we review performance of the geomagnetic storm forecasting service StormFocus during 2011–2016. The service was implemented in 2011 at SpaceWeather.Ru and predicts the expected strength of geomagne...

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Main Authors: Podladchikova Tatiana, Petrukovich Anatoly, Yermolaev Yuri
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:Journal of Space Weather and Space Climate
Subjects:
Online Access:https://doi.org/10.1051/swsc/2018017
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author Podladchikova Tatiana
Petrukovich Anatoly
Yermolaev Yuri
author_facet Podladchikova Tatiana
Petrukovich Anatoly
Yermolaev Yuri
author_sort Podladchikova Tatiana
collection DOAJ
description Forecasting geomagnetic storms is highly important for many space weather applications. In this study, we review performance of the geomagnetic storm forecasting service StormFocus during 2011–2016. The service was implemented in 2011 at SpaceWeather.Ru and predicts the expected strength of geomagnetic storms as measured by Dst index several hours ahead. The forecast is based on L1 solar wind and IMF measurements and is updated every hour. The solar maximum of cycle 24 is weak, so most of the statistics are on rather moderate storms. We verify quality of selection criteria, as well as reliability of real-time input data in comparison with the final values, available in archives. In real-time operation 87% of storms were correctly predicted while the reanalysis running on final OMNI data predicts successfully 97% of storms. Thus the main reasons for prediction errors are discrepancies between real-time and final data (Dst, solar wind and IMF) due to processing errors, specifics of datasets.
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spelling doaj.art-1bc8f7d5cdee4d63b5c2448a6d41ab4b2022-12-21T18:15:30ZengEDP SciencesJournal of Space Weather and Space Climate2115-72512018-01-018A2210.1051/swsc/2018017swsc170027Geomagnetic storm forecasting service StormFocus: 5 years onlinePodladchikova TatianaPetrukovich AnatolyYermolaev YuriForecasting geomagnetic storms is highly important for many space weather applications. In this study, we review performance of the geomagnetic storm forecasting service StormFocus during 2011–2016. The service was implemented in 2011 at SpaceWeather.Ru and predicts the expected strength of geomagnetic storms as measured by Dst index several hours ahead. The forecast is based on L1 solar wind and IMF measurements and is updated every hour. The solar maximum of cycle 24 is weak, so most of the statistics are on rather moderate storms. We verify quality of selection criteria, as well as reliability of real-time input data in comparison with the final values, available in archives. In real-time operation 87% of storms were correctly predicted while the reanalysis running on final OMNI data predicts successfully 97% of storms. Thus the main reasons for prediction errors are discrepancies between real-time and final data (Dst, solar wind and IMF) due to processing errors, specifics of datasets.https://doi.org/10.1051/swsc/2018017Solar windmagnetic fieldstormforecastingvalidation
spellingShingle Podladchikova Tatiana
Petrukovich Anatoly
Yermolaev Yuri
Geomagnetic storm forecasting service StormFocus: 5 years online
Journal of Space Weather and Space Climate
Solar wind
magnetic field
storm
forecasting
validation
title Geomagnetic storm forecasting service StormFocus: 5 years online
title_full Geomagnetic storm forecasting service StormFocus: 5 years online
title_fullStr Geomagnetic storm forecasting service StormFocus: 5 years online
title_full_unstemmed Geomagnetic storm forecasting service StormFocus: 5 years online
title_short Geomagnetic storm forecasting service StormFocus: 5 years online
title_sort geomagnetic storm forecasting service stormfocus 5 years online
topic Solar wind
magnetic field
storm
forecasting
validation
url https://doi.org/10.1051/swsc/2018017
work_keys_str_mv AT podladchikovatatiana geomagneticstormforecastingservicestormfocus5yearsonline
AT petrukovichanatoly geomagneticstormforecastingservicestormfocus5yearsonline
AT yermolaevyuri geomagneticstormforecastingservicestormfocus5yearsonline