Kretschmer, Marlene

Detecting and quantifying causal associations in large nonlinear time series datasets

Runge, J., Nowack, P., Kretschmer, M., Flaxman, S., & Sejdinovic, D. (2019) · Science Advances

Bayesian Modeling and Causal InferenceStatistical Methods and Inference

Cited by 979

Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives

Materia, S., García, L. P., van Straaten, C., O, S., Mamalakis, A., Cavicchia, L., Coumou, D., de Luca, P., Kretschmer, M., & Donat, M. (2024) · WIREs Climate Change

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 130

The Influence of Stratospheric Wave Reflection on North American Cold Spells

Matthias, V., & Kretschmer, M. (2020) · Monthly Weather Review

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 87

Predictors and prediction skill for marine cold‐air outbreaks over the Barents Sea

Polkova*, I., Afargan‐Gerstman, H., Domeisen, D. I. V., King, M. P., Ruggieri, P., Athanasiadis, P., Dobrynin, M., Aarnes, Ø., Kretschmer, M., & Baehr, J. (2021) · Quarterly Journal of the Royal Meteorological Society

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 15

Identifying probabilistic weather regimes targeted to a local-scale impact variable

Spuler, F. R., Kretschmer, M., Kovalchuk, Y., Balmaseda, M. A., & Shepherd, T. G. (2024) · Environmental Data Science

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 14