Abstract
The possibility of the Southern Oscillation Index (SOI) forecast on the basis of the artificial neural networks model is studied in the paper. The ensemble of global climatic indices from 1950 to 2010 were used as the inputs. The model verification was done by the control period of 2007–2015. The possibility of successful SOI forecasting in 1–5 months advance for the late autumn-early winter and for early spring was demonstrated. Taking into account that two types of El-Nino and La-Nina exist, the primary concern of April and May SOI forecast for the eastern type events has been shown.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Vestnik of Saint Petersburg University. Earth Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
