3 papers
physics.ao-ph2026
Disentangling Internal and Forced Climate Variability with Convolutional Neural Networks using Multivariate Fields
Guillaume Gastineau, Elena Provenzano, Constantin Bône +2
Long-term climate data exhibit variations composed of internal and forced components. Internal variability arises from natural processes that could occur within a stable climate. F…
physics.ao-ph2026
CNN-based forecasting of early winter NAO using sea surface temperature
Elena Provenzano, Guillaume Gastineau, Carlos Mejia +2
The North Atlantic Oscillation (NAO) is the dominant mode of atmospheric variability over the North Atlantic sector, influencing temperature and precipitation across Europe. While…
physics.ao-ph2025
ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching
Graham Clyne, Guillaume Couairon, Guillaume Gastineau +2
Internal variability is a dominant contributor to the uncertainty of predictions at the interannual to decadal timescale. A typical approach to separating the internal variability…