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Forecasting of DST variations from polar cap indices using neural networksстатья
Статья опубликована в высокорейтинговом журнале
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 9 апреля 2015 г.
- Авторы: Stepanova M.V., Antonova E.E., Troshichev O.
- Журнал: Advances in Space Research
- Том: 36
- Номер: 12
- Год издания: 2005
- Издательство: Pergamon Press Ltd.
- Местоположение издательства: United Kingdom
- Первая страница: 2451
- Последняя страница: 2454
- DOI: 10.1016/j.asr.2003.09.073
- Аннотация: The 15-min averaged polar cap (PC) index was used as an input parameter for the Dst variation forecasting. The PC index is known to describe well the principal features of the solar wind as well as the total energy input to the magnetosphere. This allowed us to design a neural network able to forecast the Dst variations from 1 to 4 h ahead. 1998 PC and Dst data sets were used for training and testing and 1997 data sets was used for validation proposes. From the 15 moderate and strong geomagnetic storms observed during 1997, nine were successfully forecasted. In three cases the observed minimum Dst value was less than the predicted one, and only in three cases the neural network was not able to reproduce the features of the geomagnetic storm.
- Добавил в систему: Антонова Елизавета Евгеньевна