Publikationen von Markus Reichstein

Wang, Lijun, L.; Shi, L.; Reimers, C.; Wang, Y.; He, L.; Wang, Y.; Reichstein, M.; Jiang, S.: A self-supervised deep learning model for enhanced generalization in soil moisture prediction. Journal of Hydrology 662 (PArt B), 133974 (2025)

Migliavacca, M.; Grassi, G.; Bastos, A.; Ceccherini, G.; Ciais, P.; Janssens-Maenhout, G.; Lugato, E.; Mahecha, M. D.; Novick, K. A.; Peñuelas, J. et al.; Pilli, R.; Reichstein, M.; Avitabile, V.; Beck, P. S. A.; Barredo, J. I.; Forzieri, G.; Herold, M.; Korosuo, A.; Mansuy, N.; Mubareka, S.; Orth, R.; Rougieux, P.; Cescatti, A.: Securing the forest carbon sink for the European Union’s climate ambition. Nature 643, S. 1203 - 1213 (2025)

Kariyathan, T.; Bastos, A.; Reichstein, M.; Peters, W.; Marshall, J.: Limitations in the use of atmospheric CO₂ observations to directly infer changes in the length of the biospheric carbon uptake period. Atmospheric Chemistry and Physics 25 (14), S. 7863 - 7878 (2025)

Nadolski, L.; El-Madany, T. S.; Nelson, J. A.; Carrara, A.; Moreno, G.; Nair, R. K. F.; Luo, Y.; Hildebrandt, A.; Rolo, V.; Reichstein, M. et al.; Lee, S.-C.: Altered seasonal sensitivity of net ecosystem exchange to controls driven by nutrient balances in a semi-arid savanna. Biogeosciences 22 (12), S. 2935 - 2958 (2025)

Bohn, F. J.; Bastos, A.; Martin, R.; Rammig, A.; Koh, N. S.; Sioen, G. B.; Buscher, B.; Carver, L.; DeClerck, F.; Drupp, M. et al.; Fletcher, R.; Forrest, M.; Gasparatos, A.; Godoy-Faúndez, A.; Hagedorn, G.; Hänsel, M.; Hetzer, J.; Hickler, T.; Krug, C. B.; Koot, S.; Li, X.; Luers, A.; Matevich, S.; Matthews, H. D.; Meier, I. C.; Mohamed, A.; O, S.; Obura, D.; Orlove, B.; Orth, R.; Pereira, L.; Reichstein, M.; Thakholi, L.; Verburg, P.; Yoshida, Y.: Reviews and syntheses: Current perspectives on biosphere research 2024–2025 – eight findings from ecology, sociology, and economics. Biogeosciences 22 (10), S. 2425 - 2460 (2025)

Wang, Y.; Braghiere, R. K.; Fischer, W. W.; Yao, Y.; Shen, Z.; Schneider, T.; Bloom, A. A.; Schimel, D.; Croft, H.; Winkler, A. J. et al.; Reichstein, M.; Frankenberg, C.: Impacts of leaf traits on vegetation optical properties in Earth system modeling. Nature Communications 16, 4968 (2025)

Baghirov, Z.; Jung, M.; Reichstein, M.; Körner, M.; Kraft, B.: H2MV (v1.0): Global physically-constrained deep learning water cycle model with vegetation. Geoscientific Model Development 18 (10), S. 2921 - 2943 (2025)

De, R.; Bao, S.; Koirala, S.; Brenning, A.; Reichstein, M.; Tagesson, T.; Liddell, M.; Ibrom, A.; Wolf, S.; Sigut, L. et al.; Hörtnagl, L.; Woodgate, W.; Korkiakoski, M.; Merbold, L.; Black, T. A.; Roland, M. E.; Klosterhalfen, A.; Blanken, P. D.; Knox, S.; Sabbatini, S.; Gielen, B.; Montagnani, L.; Fensholt, R.; Wohlfahrt, G.; Desai, A. R.; Paul-Limoges, E.; Galvagno, M.; Hammerle, A.; Jocher, G.; Reverter, B. R.; Holl, D.; Chen, J.; Vitale, L.; Arain, M. A.; Carvalhais, N.: Addressing challenges in simulating inter-annual variability of gross primary production. Journal of Advances in Modeling Earth Systems 17 (5), e2024MS004697 (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)

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), S. 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), S. 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, S. 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), S. 6683 - 6701 (2024)