4 citations · 12 across the 9 of their papers we have counts for
5 papers · 1 filter
The role of edge states for early-warning of tipping points
Johannes Lohmann, Alfred B. Hansen, Alessandro Lovo +3
Tipping points (TP) are often described as low-dimensional bifurcations, and are associated with early-warning signals (EWS) due to critical slowing down (CSD). CSD is an increase…
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Alessandro Lovo, Amaury Lancelin, Corentin Herbert +1
When performing predictions that use Machine Learning (ML), we are mainly interested in performance and interpretability. This generates a natural trade-off, where complex models g…
Gaussian Framework and Optimal Projection of Weather Fields for Prediction of Extreme Events
Valeria Mascolo, Alessandro Lovo, Corentin Herbert +1
Extreme events are the major weather-related hazard for humanity. It is then of crucial importance to have a good understanding of their statistics and to be able to forecast them.…
Comparing the influence of Atlantic Multidecadal Variability and spring soil moisture on European summer heat waves
Valeria Mascolo, Clément Le Priol, Fabio D'Andrea +1
In this work, we study and compare the influence of the Atlantic Multidecadal Variability (AMV) and of spring soil moisture in Southern Europe on the duration and intensity of Euro…
Using rare event algorithms to understand the statistics and dynamics of extreme heatwave seasons in South Asia
Clément Le Priol, Joy M. Monteiro, Freddy Bouchet
Computing the return times of extreme events and assessing the impact of climate change on such return times is fundamental to extreme event attribution studies. However, the rarit…