3 papers
physics.geo-ph2026
Disentangling regional impacts of joint teleconnections using causal representation learning
Fiona R. Spuler, Marlene Kretschmer, Magdalena Alonso Balmaseda +2
Understanding teleconnections of large-scale modes of climate variability is relevant for seasonal predictability and support a dynamical understanding of climatic changes. While n…
physics.ao-ph2025
Rainfall forecasts in daily use over East Africa improved by machine learning
Fenwick C. Cooper, Shruti Nath, Andrew T. T. McRae +20
Ensemble forecasting has proven over the years to be a vital tool for predicting extreme or only partially predictable weather events. In particular life-threatening weather events…
stat.AP2024
Applications of machine learning to predict seasonal precipitation for East Africa
Michael Scheuerer, Claudio Heinrich-Mertsching, Titike K. Bahaga +2
Seasonal climate forecasts are commonly based on model runs from fully coupled forecasting systems that use Earth system models to represent interactions between the atmosphere, oc…