2 papers
cs.CE2026
Deep-learning surrogate crop modelling for scalable seasonal-to-climate crop-risk assessment
Odysseas Vlachopoulos, Niklas Luther, Andrej Ceglar +3
Anticipating climate-related crop stress requires crop-risk information that is spatially explicit, probabilistic and fast enough for large seasonal forecast and climate-scenario e…
physics.ao-ph2024
Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection
J. Pérez-Aracil, C. Peláez-RodrÃguez, Ronan McAdam +17
Heatwaves (HWs) are extreme atmospheric events that produce significant societal and environmental impacts. Predicting these extreme events remains challenging, as their complex in…