5 citations · 8 across the 5 of their papers we have counts for
5 papers
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
C. J. R. Murphy-Barltrop, J. Richards, B. Poschlod +2
Concurrent floods and concurrent droughts in nearby catchments pose challenges to risk assessment and water management. Climate change is affecting extremely high and low discharge…
Omega-blocks with spatially compounding extremes over Europe are highly sensitive to remote atmospheric drivers
Magdalena Mittermeier, Christian M. Grams, Urs Beyerle +5
Omega-blocks can trigger spatially compounding heat-precipitation extremes with severe societal impacts, as seen in September 2023 when a heatwave over France coincided with devast…
Numerical models outperform AI weather forecasts of record-breaking extremes
Zhongwei Zhang, Erich Fischer, Jakob Zscheischler +1
Artificial intelligence (AI)-based models are revolutionizing weather forecasting and have surpassed leading numerical weather prediction systems on various benchmark tasks. Howeve…
Regularization of ML models for Earth systems by using longer model timesteps
Raghul Parthipan, Mohit Anand, Hannah M Christensen +3
Regularization is a technique to improve generalization of machine learning (ML) models. A common form of regularization in the ML literature is to train on data where similar inpu…
Causal machine learning for sustainable agroecosystems
Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà Bautista +8
In a changing climate, sustainable agriculture is essential for food security and environmental health. However, it is challenging to understand the complex interactions among its…