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…
cs.LG2025
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
Philine L. Bommer, Marlene Kretschmer, Fiona R. Spuler +2
Predictions on subseasonal-to-seasonal (S2S) timescales--ranging from two weeks to two month--are crucial for early warning systems but remain challenging owing to chaos in the cli…
physics.geo-ph2024
Identifying probabilistic weather regimes targeted to a local-scale impact variable
Fiona Raphaela Spuler, Marlene Kretschmer, Yevgeniya Kovalchuk +2
Weather regimes are recurrent and persistent large-scale atmospheric circulation patterns that modulate the occurrence of local impact variables such as extreme precipitation. In t…