Publikationen

Li, N.; Sippel, S.; Linscheid, N.; Rödenbeck, C.; Winkler, A.; Reichstein, M.; Mahecha, M. D.; Bastos, A.: Enhanced global carbon cycle sensitivity to tropical temperature linked to internal climate variability. Science Advances 10 (39), eadl6155 (2024)

Liu, G.; Migliavacca, M.; Reimers, C.; Kraft, B.; Reichstein, M.; Richardson, A. D.; Wingate, L.; Delpierre, N.; Yang, H.; Winkler, A.: DeepPhenoMem V1.0: Deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology. Geoscientific Model Development 17 (17), S. 6683 - 6701 (2024)

Winkler, A.; Myneni, R.; Reimers, C.; Reichstein, M.; Brovkin, V.: Carbon system state determines warming potential of emissions. PLOS ONE 19 (8), e0306128 (2024)

Mahecha, M. D.; Bastos, A.; Bohn, F.; Eisenhauer, N.; Feilhauer, H.; Hickler, T.; Kalesse-Los, H.; Migliavacca, M.; Otto, F. E. L.; Peng, J. et al.; Tegen, I.; Weigelt, A.; Wendisch, M.; Wirth, C.; Al-Halbouni, D.; Deneke, H. M.; Doktor, D.; Dunker, S.; Duveiller, G.; Ehrlich, A.; Foth, A.; García-García, A.; Guerra, C. A.; Guimarães-Steinicke, C.; Hartmann, H.; Henning, S.; Herrmann, H.; Ji, C.; Kattenborn, T.; Kolleck, N.; Kretschmer, M.; Kühn, I.; Luttkus, M. L.; Maahn, M.; Mönks, M.; Mora, K.; Pöhlker, M.; Reichstein, M.; Rüger, N.; Sánchez-Parra, B.; Schäfer, M.; Sippel, S.; Tesche, M.; Wehner, B.; Wieneke, S.; Winkler, A.; Wolf, S.; Zaehle, S.; Zscheischler, J.; Quaas, J.: Biodiversity and climate extremes: known interactions and research gaps. Earth's Future 12 (6), e2023EF003963 (2024)

Zhan, C.; Orth, R.; Yang, H.; Reichstein, M.; Zaehle, S.; De Kauwe, M. G.; Rammig, A.; Winkler, A.: Estimating the CO₂ fertilization effect on extratropical forest productivity from Flux-tower observations. Journal of Geophysical Research: Biogeosciences 129 (6), e2023JG007910 (2024)

Wutzler, T.; Reimers, C.; Ahrens, B.; Schrumpf, M.: Optimal enzyme allocation leads to the constrained enzyme hypothesis: the Soil Enzyme Steady Allocation Model (SESAM; v3.1)). Geoscientific Model Development 17 (7), S. 2705 - 2725 (2024)

Son, R.; Stacke, T.; Gayler, V.; Nabel, J. E. M. S.; Schnur, R.; Silva, L. A.; Requena Mesa, C.; Winkler, A.; Hantson, S.; Zaehle, S. et al.; Weber, U.; Carvalhais, N.: Integration of a deep-learning-based fire model into a global land surface model. Journal of Advances in Modeling Earth Systems 16 (1), e2023MS003710 (2024)

Panwar, A.; Migliavacca, M.; Nelson, J. A.; Cortés, J.; Bastos, A.; Forkel , M.; Winkler, A.: Methodological challenges and new perspectives of shifting vegetation phenology in eddy covariance data. Scientific Reports 13, 13885 (2023)

ElGhawi, R.; Kraft, B.; Reimers, C.; Reichstein, M.; Körner, M.; Gentine, P.; Winkler, A. J.: Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning. Environmental Research 18, 034039 (2023)

Zhan, C.; Orth, R.; Migliavacca, M.; Zaehle, S.; Reichstein, M.; Engel, J.; Rammig, A.; Winkler, A.: Emergence of the physiological effects of elevated CO₂ on land-atmosphere exchange of carbon and water. Global Change Biology 28 (24), S. 7313 - 7326 (2022)

Li, N.; Sippel, S.; Winkler, A.; Mahecha, M. D.; Reichstein, M.; Bastos, A.: Interannual global carbon cycle variations linked to atmospheric circulation variability. Earth System Dynamics 13 (4), S. 1505 - 1533 (2022)

Denissen, J. M. C.; Teuling, A. J.; Pitman, A. J.; Koirala, S.; Migliavacca, M.; Li, W.; Reichstein, M.; Winkler, A.; Zhan, C.; Orth, R.: Widespread shift from ecosystem energy to water limitation with climate change. Nature Climate Change 12, S. 677 - 684 (2022)

Winkler, A.; Myneni, R. B.; Hannart, A.; Sitch, S.; Haverd, V.; Lombardozzi, D.; Arora, V. K.; Pongratz, J.; Nabel, J. E. M. S.; Goll, D. S. et al.; Kato, E.; Tian, H.; Arneth, A.; Friedlingstein, P.; Jain, A. K.; Zaehle, S.; Brovkin, V.: Slowdown of the greening trend in natural vegetation with further rise in atmospheric CO₂. Biogeosciences 18 (17), S. 4985 - 5010 (2021)

Reichstein, M.; Ahrens, B.; Kraft, B.; Camps-Valls, G.; Carvalhais, N.; Gans, F.; Gentine, P.; Winkler, A.: Combining system modeling and machine learning into hybrid ecosystem modeling. In: Knowledge-Guided Machine Learning, 9781003143376, S. 327 - 352 (Hg. Kannan, R.; Kumar, V.). Chapman & Hall, London (2022)

Friede, D.; Reimers, C.; Stuckenschmidt, H.; Niepert, M.: Learning disentangled discrete representations. Machine learning and knowledge discovery in databases: Research track. ECML PKDD 2023. Lecture Notes in Computer Science 14172, S. 593 - 609 (2023)

Hafezi Rachti, D.: Interpretable machine learning to understand meteorological impacts on ecosystem carbon uptake. Bachelor, University of Hamburg, Hamburg (2023)

Benson, V.; Bastos, A.; Reimers, C.; Winkler, A.; Yang, F.; Reichstein, M.: Atmospheric transport modeling of CO₂ with neural networks. arXiv (2024)

Reimers, C.; Hafezi Rachti, D.; Liu, G.; Winkler, A.: Comparing data-driven and mechanistic models for predicting phenology in deciduous broadleaf forests. arXiv (2024)