2020
DOI: 10.5194/egusphere-egu2020-21603
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Seasonal-to-multiyear prediction of ENSO using machine deep learning

Abstract: <p>Variations in the El Niño/Southern Oscillation (ENSO) are associated with a wide array of regional climate extremes and ecosystem impacts. Robust, long-lead forecasts would therefore be valuable for managing policy responses. But despite decades of effort, forecasting ENSO events at lead times of more than one year remains problematic. Here we show that a statistical forecast model employing a deep-learning approach produces skilful ENSO forecasts for lead times of up to one and a… Show more

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