title: Forecasting of the Southern Oscillation Index
metadata.name: dc.contributor.author
metadata.value: Lubkov, Andrey S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Voskresenskaya, Elena N.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Marchukova, Olesya V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2018-04-04T14:02:04Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2018-04-04T14:02:04Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2017-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Lubkov A. S., Voskresenskaya E. N., Marchukova O. V. Forecasting of the Southern Oscillation Index. Vestnik SPbSU. Earth Sciences, 2017, vol. 62, issue 4, pp. 370–388.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: 10.21638/11701/spbu07.2017.404
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/9273
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: 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. Refs 42.
  Figs 4. Tables 2.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: Работа выполнена при частичной финансовой поддержке гранта РФФИ (проект № 16-05-00231-А).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Earth Sciences;Volume 62; Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: Southern Oscillation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: El Niño
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: La Niña
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: ocean-atmosphere system
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: forecasting
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: neural networksmodel
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Forecasting of the Southern Oscillation Index
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 04-Lubkov.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/9273/1/04-Lubkov.pdf
resources.format: Adobe PDF
resources.size: 853,83 kB