Articles | Volume 14, issue 11
Geosci. Model Dev., 14, 6977–6999, 2021
Geosci. Model Dev., 14, 6977–6999, 2021

Model description paper 17 Nov 2021

Model description paper | 17 Nov 2021

ENSO-ASC 1.0.0: ENSO deep learning forecast model with a multivariate air–sea coupler

Bin Mu et al.

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Cited articles

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Bayr, T., Dommenget, D., and Latif, M.: Walker circulation controls ENSO atmospheric feedbacks in uncoupled and coupled climate model simulations, Clim. Dynam., 54, 2831–2846,, 2020. 
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Short summary
Considering the sophisticated energy exchanges and multivariate coupling in ENSO, we subjectively incorporate the prior physical knowledge into the modeling process and build up an ENSO deep learning forecast model with a multivariate air–sea coupler, named ENSO-ASC, the performance of which outperforms the other state-of-the-art models. The extensive experiments indicate that ENSO-ASC is a powerful tool for both the ENSO prediction and for the analysis of the underlying complex mechanisms.