6 papers
Assessing socio-economic climate impacts from text data
Mariana Madruga de Brito, Brielen Madureira, TaÃs Maria Nunes Carvalho +15
Recent advances in natural language processing (NLP) and large language models (LLMs) have enabled the systematic use of large-scale textual data from news, social media, and repor…
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…
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events
Olivier C. Pasche, Jonathan Wider, Zhongwei Zhang +2
The forecast accuracy of machine learning (ML) weather prediction models is improving rapidly, leading many to speak of a "second revolution in weather forecasting". With numerous…