Deep learning narrows one source of uncertainty in El Nino projections

Neural networks trained on climate simulations and checked against ocean observations reduced the reported spread in projected El Nino variability under a high-emission scenario. The result constrains one climate process; it is not a precise forecast of future El Nino events.