Publication Date:
2018-03-14
Description:
Using Network Theory and Machine Learning to predict El Niño Peter D. Nooteboom, Qing Yi Feng, Cristóbal López, Emilio Hernández-García, and Henk A. Dijkstra Earth Syst. Dynam. Discuss., https//doi.org/10.5194/esd-2018-13,2018 Manuscript under review for ESD (discussion: open, 0 comments) The prediction of the El Niño phenomenon, an increased sea surface temperature in the eastern Pacific, fascinates people for a long time. El Niño is associated with natural disasters, such as droughts and floods. Current methods can make a reliable prediction of this phenomenon up to six months ahead. However, this article presents a method which combines network theory and machine learning and predicts El Niño up to one year ahead.
Print ISSN:
2190-4979
Electronic ISSN:
2190-4987
Topics:
Geosciences
