Publications of Markus Reichstein

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)

Pallandt, M.; Schrumpf, M.; Lange, H.; Reichstein, M.; Yu, L.; Ahrens, B.: Modelling the effect of climate–substrate interactions on soil organic matter decomposition with the Jena soil model. Biogeosciences 22 (7), pp. 1907 - 1928 (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)

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)

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)

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)

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)

Nelson*, J. A.; Walther*, S.; Gans, F.; Kraft, B.; Weber, U.; Novick, K.; Buchmann, N.; Migliavacca, M.; Wohlfahrt, G.; Šigut, L. et al.; Ibrom, A.; Papale, D.; Göckede, M.; Duveiller, G.; Knohl, A.; Hörtnagl, L.; Scott, R. L.; Zhang, W.; Hamdi, Z. M.; Reichstein, M.; Aranda-Barranco, S.; Ardö, J.; Op de Beeck, M.; Billdesbach, D.; Bowling, D.; Bracho, R.; Brümmer, C.; Camps-Valls, G.; Chen, S.; Cleverly, J. R.; Desai, A.; Dong, G.; El-Madany, T. S.; Euskirchen, E. S.; Feigenwinter, I.; Galvagno, M.; Gerosa, G.; Gielen, B.; Goded, I.; Goslee, S.; Gough, C. M.; Heinesch, B.; Ichii, K.; Jackowicz-Korczynski, M. A.; Klosterhalfen, A.; Knox, S.; Kobayashi, H.; Kohonen, K.-M.; Korkiakoski, M.; Mammarella, I.; Mana, G.; Marzuoli, R.; Matamala, R.; Metzger, S.; Montagnani, L.; Nicolini, G.; O'Halloran, T.; Ourcival, J.-M.; Peichl, M.; Pendall, E.; Reverter, B. R.; Roland, M.; Sabbatini, S.; Sachs, T.; Schmidt, M.; Schwalm, C. R.; Shekhar, A.; Silberstein, R.; Silveira, M. L.; Spano, D.; Tagesson, T.; Tramontana, G.; Trotta, C.; Turco, F.; Vesala, T.; Vincke, C.; Vitale, D.; Vivoni, E. R.; Wang, Y.; Woodgate, W.; Yepez, E. A.; Zhang, J.; Zona, D.; Jung, M.: X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X. Biogeosciences 21 (22), pp. 5079 - 5115 (2024)

Song, W.; Jiang, S.; Camps-Valls, G.; Williams, M.; Zhang, L.; Reichstein, M.; Vereecken, H.; He, L.; Hu, X.; Shi, L.: Towards data-driven discovery of governing equations in geosciences. Communications Earth & Environment 5, 589 (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)

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), pp. 6683 - 6701 (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)

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)

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

Xie, J.; Liu, X.; Jasechko, S.; Berghuijs, W. R.; Wang, K.; Liu, C.; Reichstein, M.; Jung, M.; Koirala, S.: Majority of global river flow sustained by groundwater. Nature Geoscience 17, pp. 770 - 777 (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)

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)

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)

Wang, S.; Yang, H.; Koirala, S.; Forkel, M.; Reichstein, M.; Carvalhais, N.: Understanding disturbance regimes from patterns in modeled forest biomass. Journal of Advances in Modeling Earth Systems 16 (6), e2023MS004099 (2024)