Nachfolgend haben wir Ihnen die Publikationen der Mitglieder der Arbeitsgruppe nach Jahren aufgelistet.
- Alexey Yu. Karpechko, Zheng Wu, Isla R. Simpson, Marlene Kretschmer, Hilla Afargan-Gerstman, Amy H. Butler, Daniela I.V. Domeisen, Hella Garny, Zachary Lawrence, Elisa Manzini, Michael Sigmond: Northern Hemisphere Stratosphere-Troposphere Circulation Change in CMIP6 Models: 2. Mechanisms and Sources of the Spread, JGR Atmospheres, 129/3, 2024, doi/10.1029/2024JD040823.
- Tiffany A. Shaw, Paola A. Arias, Mat Collins, Dim Coumou, Arona Diedhiou, Chaim I. Garfinkel, Shipra Jain, Mathew Koll Roxy, Marlene Kretschmer, L. Ruby Leung, Sugata Narsey, Olivia Martius, Richard Seager, Theodore G. Shepherd, Anna A. Sörensson, Tannecia Stephenson, Michael Taylor, Lin Wang, Regional climate change: consensus, discrepancies, and ways forward, Frontier in Climate, 6/2024, doi:10.3389/fclim.2024.1391634.
- Philine Lou Bommer, Marlene Kretschmer, Anna Hedström, Dilyara Bareeva, and Marina M.-C. Höhne, Finding the right XAI Method — A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science", Artificial Intelligence for the Earth Systems, doi:10.1175/AIES-D-23-0074.1
- Cohen, J.; Agel, L.; Barlow, M.; Furtado, J.; Kretschmer, M.; Wendt, V. , The “Polar Vortex” Winter of 2013/2014, Journal of Geophysical Research: Atmospheres. 2022. DOI: 10.1029/2022JD036493
- Karpechko, A.; Afargan-Gerstman, H.; Butler, A.; Domeisen, D.; Kretschmer, M.; Lawrence, Z.; Manizini, E.; Sigmond, M.; Simpson, I.; Wu, Z., Northern Hemisphere Stratosphere-Troposphere Circulation Change in CMIP6 Models: 1. Inter-Model Spread and Scenario Sensitivity , JGR Atmospheres. 2022. DOI: 10.1029/2022JD036992
- Messori, G.; Kretschmer, M.; Lee, S.; Wendt, V., Stratospheric Downward Wave Reflection Events Modulate North American Weather Regimes and Cold Spells, Weather Clim. Dynam. 2022. S. 1215-1236, DOI: 10.5194/wcd-3-1215-2022
- Kretschmer, M.; Adams, S.; Arribas, A.; Saggioro, E.; Prudden, R.; Robinson, N.; Shepherd, T., Quantifying causal teleconnection pathways (2021), Bulletin of the American Meteorological Society. 2020, DOI: 10.1175/BAMS-D-20-0117.1.
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Polkova, I.; Afargan-Gerstman, H.; Domeisen, D.; King, M.; Ruggieri, P.; Athanasiadis, P.; Dobrynin, M.; Aarnes, -.; Kretschmer, M.; Baehr, J., Predictors and prediction skill for marine cold air outbreaks over the Barents Sea, QJRMS. 2021, DOI: 10.1002/qj.4038.
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Kretschmer, M.; Politschouk, I.; Monnin, E., The role of the timing of Sudden Stratospheric Warmings for precipitation and temperature anomalies in Europe, International Journal of Climatology. 2021., DOI: 10.1002/joc.7426.
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Kretschmer, M.; Martin, M.; Boers, N.; Bunde, A.; Ciemer, C.; Fan, J.; Havlin, S.; Ludescher, J.; Kurths, J.; Runge, J.; Stolbova, V.; Surovyatkina, E.; Schellnhuber, H. J., Network-based forecasting of climate phenomena (2021) , Proceedings of the National Academy of Sciences. 2021, DOI: 10.1073/pnas.1922872118.
- Kretschmer, M.; Zappa, G.; Shepherd, G.; Shepherd, T. G., The role of Barents–Kara sea ice loss in projected polar vortex changes, Weather and Climate Dynamics. 2020, DOI: 10.5194/wcd-1-715-2020
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Di Capua, G.; Kretschmer, M.; Donner, R. V.; van den Hurk, B.; Vellore, R.; Krishnan, R.; Coumou, D., Tropical and mid-latitude teleconnections interacting with the Indian summer monsoon rainfall: a theory-guided causal effect network approach, Earth System Dynamics. 2020, DOI: 10.5194/esd-11-17-2020
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Saggioro, E.; de Wiljes, J.; Kretschmer, M.; Runge, J., Reconstructing regime-dependent causal relationships from observational time series, Chaos. 2020, DOI: 10.1063/5.0020538
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Kretschmer, M.; Zappa, G.; Shepherd, G.; Shepherd, T. G. , The role of Barents–Kara sea ice loss in projected polar vortex changes, Weather and Climate Dynamics. 2020, DOI: 10.5194/wcd-1-715-2020.
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Di Capua, G.; Kretschmer, M.; Runge, J.; Alessandri, A.; Donner, R. V.; van den Hurk, B.; Vellore, R.; Krishnan, R.; Coumou, D., Long-Lead Statistical Forecasts of the Indian Summer Monsoon Rainfall Based on Causal Precursors, Weather and Forecasting. 2019, DOI: 10.1175/WAF-D-19-0002.1
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Runge, J.; Nowack, P.; Kretschmer, M.; Flaxman, S. R.; Sejdinovic, D., Detecting causal associations in large nonlinear time series datasets, Science Advances. 2019. 5 (11), DOI: 10.1126/sciadv.aau4996.
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Runge, J.; Bathiany, S.; Bollt, E. et al., Inferring causation from time series in Earth system sciences, 2019. S. AR 2553, DOI: 10.1038/s41467-019-10105-3.
- Kretschmer, M.; Coumou, D.; Agel, L.; Barlow, M.; Cohen, J.; Tziperman, E., More-Persistent Weak Stratospheric Polar Vortex States Linked to Cold Extremes, Bulletin of the American Meteorological Society. 2018. S. 49-60, DOI: 10.1175/BAMS-D-16-0259.1.
- Kretschmer, M.; Cohen, J.; Matthias, V.; Runge, J.; Coumou, D. , The different stratospheric influence on cold-extremes in Eurasia and North America, npj Climate and Atmospheric Science. 2018, DOI: 10.1038/s41612-018-0054-4.
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Kretschmer, M.; Coumou, D.; Agel, L.; Barlow, M.; Cohen, J.; Tziperman, E., More-Persistent Weak Stratospheric Polar Vortex States Linked to Cold Extremes, Bulletin of the American Meteorological Society. 2018. S. 49-60, DOI: 10.1175/BAMS-D-16-0259.1.
- Kretschmer, M.; Cohen, J.; Matthias, V.; Runge, J.; Coumou, D,The different stratospheric influence on cold-extremes in Eurasia and North America
npj Climate and Atmospheric Science. 2018., DOI: 10.1038/s41612-018-0054-4.
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Kretschmer, M.; Runge, J.; Coumou, D., Early prediction of extreme stratospheric polar vortex states based on causal precursors, Geophysical Research Letters. 2017,DOI: 10.1002/2017GL074696.
- Kretschmer, M.; Coumou, D.; Donges, J. F.; Runge, J., Using Causal Effect Networks to analyze different Arctic drivers of mid-latitude winter circulation, Journal of Climate. 2016. S. 4069-4081, DOI: 10.1175/JCLI-D-15-0654.1
- Kretschmer, M.; Coumou, D.; Donges, J. F.; Runge, J. ,Using Causal Effect Networks to analyze different Arctic drivers of mid-latitude winter circulation
Journal of Climate. 2016. S. 4069-4081, DOI: 10.1175/JCLI-D-15-0654.1