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Earth System Dynamics An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 3
Earth Syst. Dynam., 9, 969-983, 2018
https://doi.org/10.5194/esd-9-969-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Dynam., 9, 969-983, 2018
https://doi.org/10.5194/esd-9-969-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 23 Jul 2018

Research article | 23 Jul 2018

Using network theory and machine learning to predict El Niño

Peter D. Nooteboom et al.
Data sets

Upper Ocean Heat Content and ENSO National Oceanic and Atmospheric Administration https://www.pmel.noaa.gov/elnino/upper-ocean-heat-content-and-enso

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Short summary
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 6 months ahead. However, this article presents a method which combines network theory and machine learning which predicts El Niño up to 1 year ahead.
The prediction of the El Niño phenomenon, an increased sea surface temperature in the eastern...
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