25 citations · 46 across the 3 of their papers we have counts for
4 papers
Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning
George Miloshevich, Dario Lucente, Pascal Yiou +1
We present a data-driven emulator, stochastic weather generator (SWG), suitable for estimating probabilities of prolonged heatwaves in France and Scandinavia. This emulator is base…
Coupling rare event algorithms with data-based learned committor functions using the analogue Markov chain
Dario Lucente, Joran Rolland, Corentin Herbert +1
Rare events play a crucial role in many physics, chemistry, and biology phenomena, when they change the structure of the system, for instance in the case of multistability, or when…
Committor Functions for Climate Phenomena at the Predictability Margin: The example of El Niño Southern Oscillation in the Jin and Timmerman model
Dario Lucente, Corentin Herbert, Freddy Bouchet
Many phenomena in the climate system lie in the gray zone between weather and climate: they are not amenable to deterministic forecast, but they still depend on the initial conditi…
Machine learning of committor functions for predicting high impact climate events
Dario Lucente, Stefan Duffner, Corentin Herbert +2
There is a growing interest in the climate community to improve the prediction of high impact climate events, for instance ENSO (El-Ni{ñ}o-Southern Oscillation) or extreme events,…