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Linear dynamical modes as new variables for data-driven ENSO forecast

Authors

Gavrilov,  A.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Seleznev,  A.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Mukhin,  D.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Loskutov,  E.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Feigin,  A.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Citation

Gavrilov, A., Seleznev, A., Mukhin, D., Loskutov, E., Feigin, A., Kurths, J. (2019): Linear dynamical modes as new variables for data-driven ENSO forecast. - Climate Dynamics, 52, 03. Apr, 2199-2216.
https://doi.org/10.1007/s00382-018-4255-7


Cite as: https://publications.pik-potsdam.de/pubman/item/item_23664
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