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cs.LG2024★ 1 cited
A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime
Jakob Schloer, Matthew Newman, Jannik Thuemmel +2
While deep-learning models have demonstrated skillful El Niño Southern Oscillation (ENSO) forecasts up to one year in advance, they are predominantly trained on climate model simul…
cs.LG2022★ 9 cited
Pitfalls of Climate Network Construction: A Statistical Perspective
Moritz Haas, Bedartha Goswami, Ulrike von Luxburg
Network-based analyses of dynamical systems have become increasingly popular in climate science. Here we address network construction from a statistical perspective and highlight t…