Publications of Markus Reichstein

Benson, V.; Bastos, A.; Reimers, C.; Winkler, A.; Yang, F.; Reichstein, M.: Atmospheric transport modeling of CO₂ with neural networks. Journal of Advances in Modeling Earth Systems 17 (2), e2024MS004655 (2025)

Camps-Valls, G.; Fernández-Torres, M.-Á.; Cohrs, K.-H.; Höhl, A.; Castelletti, A.; Pacal, A.; Robin, C.; Martinuzzi, F.; Papoutsis, I.; Prapas, I. et al.; Pérez-Aracil, J.; Weigel, K.; Gonzalez-Calabuig, M.; Reichstein, M.; Rabel, M.; Giuliani, M.; Mahecha, M. D.; Popescu, O.-I.; Pellicer-Valero, O. J.; Ouala, S.; Salcedo-Sanz, S.; Sippel, S.; Kondylatos, S.; Happé, T.; Williams, T.: Artificial intelligence for modeling and understanding extreme weather and climate events. Nature Communications 16, 1919 (2025)

Lee, H. T.; Jung, M.; Carvalhais, N.; Reichstein, M.; Forkel, M.; Bloom, A. A.; Pacheco-Labrador, J.; Koirala, S.: Spatial attribution of temporal variability in global land-atmosphere CO₂ exchange using a model-data integration framework. Journal of Advances in Modeling Earth Systems 17 (3), e2024MS004479v (2025)

Li, W.; Migliavacca, M.; Miralles, D. G.; Reichstein, M.; Anderegg, W. R. L.; Yang, H.; Orth, R.: Disentangling effects of vegetation structure and physiology on land-atmosphere coupling. Global Change Biology 31 (1), e70035 (2025)

Poehls, J.; Alonso, L.; Koirala, S.; Carvalhais, N.; Reichstein, M.: Downscaling soil moisture to sub-km resolutions with simple machine learning ensembles. Journal of Hydrology 652, 132624 (2025)

Reichstein, M.; Benson, V.; Blunk, J.; Camps-Valls, G.; Creutzig, F.; Fearnley, C. J.; Han, B.; Kornhuber, K.; Rahaman, N.; Schölkopf, B. et al.; Tárraga, J. M.; Vinuesa, R.; Dall, K.; Denzler, J.; Frank, D.; Martini, G.; Nganga, N.; Maddix, D. C.; Weldemariam, K.: Early warning of complex climate risk with integrated artificial intelligence. Nature Communications 16, 2564 (2025)

Bogdanovich, E.; Brenning, A.; Reichstein, M.; DePolt, K.; Guenther, L.; Frank, D.; Orth, R.: Official heat warnings miss situations with a detectable societal heat response in European countries. International Journal of Disaster Risk Reduction 100, 104206 (2024)

Cohrs, K.-H.; Varando, G.; Camps-Valls, G.; Carvalhais, N.; Reichstein, M.: Causal hybrid modeling with double machine learning—applications in carbon flux modeling. Machine Learning: Science and Technology 5 (3), 035021 (2024)

Dechant, B.; Kattge, J.; Pavlick, R.; Schneider, F. D.; Sabatini, F. M.; Moreno-Martínez, A.; Butler, E. E.; van Bodegom, P. M.; Vallicrosa, H.; Kattenborn, T. et al.; Boonman, C. C. F.; Madani, N.; Wright, I. J.; Dong, N.; Feilhauer, H.; Penuelas, J.; Sardans, J.; Aguirre-Gutierrez, J.; Reich, P. B.; Leitao, P. J.; Cavender-Bares, J.; Myers-Smith, I. H.; Duran, S. M.; Croft, H.; Prentice, I. C.; Huth, A.; Rebel, K.; Zaehle, S.; Símov, I.; Díaz, S.; Reichstein, M.; Schiller, C.; Bruelheide, H.; Mahecha, M.; Wirth, C.; Malhi, Y.; Townsend, P. A.: Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches. Remote Sensing of Environment 311, 114276 (2024)

Denissen, J. M. C.; Teuling, A. J.; Koirala, S.; Reichstein, M.; Balsamo, G.; Vogel, M. M.; Yu, X.; Orth, R.: Intensified future heat extremes linked with increasing ecosystem water limitation. Earth System Dynamics 15 (3), pp. 717 - 734 (2024)

Eisenhauer, N.; Frank, K.; Weigelt, A.; Bartkowski, B.; Beugnon, R.; Liebal, K.; Mahecha, M.; Quaas, M.; Al‐Halbouni, D.; Bastos, A. et al.; Bohn, F. J.; de Brito, M. M.; Denzler, J.; Feilhauer, H.; Fischer, R.; Fritsche, I.; Guimaraes‐Steinicke, C.; Hänsel, M.; Haun, D. B. M.; Herrmann, H.; Huth, A.; Kalesse‐Los, H.; Koetter, M.; Kolleck, N.; Krause, M.; Kretschmer, M.; Leitão, P. J.; Masson, T.; Mora, K.; Müller, B.; Peng, J.; Pöhlker, M. L.; Ratzke, L.; Reichstein, M.; Richter, S.; Rüger, N.; Sánchez‐Parra, B.; Shadaydeh, M.; Sippel, S.; Tegen, I.; Thrän, D.; Umlauft, J.; Wendisch, M.; Wolf, K.; Wirth, C.; Zacher, H.; Zaehle, S.; Quaas, J.: A belowground perspective on the nexus between biodiversity change, climate change, and human well‐being. Journal of Sustainable Agriculture and Environment 3 (2), e212108 (2024)

Estupinan-Suarez, L. M.; Mahecha, M. D.; Brenning, A.; Kraemer, G.; Poveda, G.; Reichstein, M.; Sierra, C.: Spatial patterns of vegetation activity related to ENSO in Northern South America. Journal of Geophysical Research: Biogeosciences 129 (1), e2022JG007344 (2024)

Eyring, V.; Gentine, P.; Camps-Valls, G.; Lawrence, D. M.; Reichstein, M.: AI-empowered next-generation multiscale climate modelling for mitigation and adaptation. Nature Geoscience 17, pp. 963 - 971 (2024)

Jiang, S.; Sweet, L.-b.; Blougouras, G.; Brenning, A.; Li, W.; Reichstein, M.; Denzler, J.; Shangguan, W.; Yu, G.; Huang, F. et al.; Zscheischler, J.: How interpretable machine learning can benefit process understanding in the geosciences. Earth's Future 12 (7), e2024EF004540 (2024)

Jung, M.; Nelson, J. A.; Migliavacca, M.; El-Madany, T. S.; Papale, D.; Reichstein, M.; Walther, S.; Wutzler, T.: Technical note: Flagging inconsistencies in flux tower data. Biogeosciences 21 (7), pp. 1827 - 1846 (2024)

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)

Li, W.; Duveiller, G.; Wieneke, S.; Forkel, M.; Gentine, P.; Reichstein, M.; Niu, S.; Migliavacca, M.; Orth, R.: Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics. Environmental Research Letters 19 (7), 073008 (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), pp. 6683 - 6701 (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)

Nair, R.; Luo, Y.; El-Madany, T. S.; Rolo, V.; Pacheco-Labrador, J.; Caldararu, S.; Morris, K. A.; Schrumpf, M.; Carrara, A.; Moreno, G. et al.; Reichstein, M.; Migliavacca, M.: Nitrogen availability and summer drought, but not N:P imbalance, drive carbon use efficiency of a Mediterranean tree-grass ecosystem. Global Change Biology 30 (9), e17486 (2024)