Publikationen von Markus Reichstein

Reichstein, M.; Besnard, S.; Carvalhais, N.; Gans, F.; Jung, M.; Kraft, B.; Mahecha, M. D.: Modelling landsurface time-series with recurrent neural nets. In: 2018 IEEE International geoscience and remote sensing symposium (IGARSS), S. 7640 - 7643. Valencia, 2018 (2018)

Requena-Mesa, C.; Reichstein, M.; Mahecha, M. D.; Kraft, B.; Denzler, J.: Predicting landscapes as seen from space from environmental conditions. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), S. 1768 - 1771. (2018)

Shadaydeh, M.; Garcia, Y. G.; Mahecha, M. D.; Reichstein, M.; Denzler, J.: Causality analysis of ecological time series: a time-frequency approach. In: 8th International Workshop on Climate Informatics: CI 2018, S. 111 - 114 (Hg. Chen, C.; Cooley, D.; Runge, J.; Szekely, E.). 8th International Workshop on Climate Informatics: CI 2018, Boulder, Colorado, 19. September 2018 - 21. September 2019. (2018)

Rodner, E.; Barz, B.; Guanche, Y.; Flach, M.; Mahecha, M. D.; Bodesheim, P.; Reichstein, M.; Denzler, J.: Maximally divergent intervals for anomaly detection. In: ICML 2016 Anomaly Detection Workshop. ICML 2016 Anomaly Detection Workshop, New York (USA), 19. Juni 2016 - 24. Juni 2016. (2016)

Camps-Valls, G.; Jung, M.; Ichii, K.; Papale, D.; Tramontana, G.; Bodesheim, P.; Schwalm, C.; Zscheischler, J.; Mahecha, M. D.; Reichstein, M.: Ranking drivers of global carbon and energy fluxes over land. In: IEEE International Symposium on Geoscience and Remote Sensing IGARSS, S. 4416 - 4419. (2015)

Shan, H.; Kattge, J.; Reich, P.; Banerjee, A.; Schrodt, F.; Reichstein, M.: Gap filling in the plant kingdom - Trait prediction using hierarchical probabilistic matrix factorization. In: Proceedings of the International Conference for Machine Learning (ICML), Bd. 2, S. 1303 - 1310 (Hg. Langford, J.). International Conference on Machine Learning, Edinburgh (2012)

Reichstein, M.: How can artificial intelligence enhance our understanding of the earth system? (2020)

Paulus, S.; El-Madany, T. S.; Wutzler, T.; Carrara, A.; Moreno, G. M.; Reichstein, M.; Orth, R.; Hertel, M.; López-Jimenez, R.; Migliavacca, M.: High-resolution large weighing lysimeter measurements with meteorological and soil-hydrological variables from a Mediterranean Savanna. (2022)

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. EGUsphere (2024)

Baghirov, Z.; Jung, M.; Reichstein, M.; Körner, M.; Kraft, B.: H2MV (v1.0): Global physically-constrained deep learning water cycle model with vegetation. EGUsphere (2024)

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. ESS Open Archive (2024)

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

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. EGUsphere (2024)

Kariyathan, T.; Bastos, A.; Reichstein, M.; Peters, W.; Marshall, J.: How atmospheric CO₂ can inform us on annual and decadal shifts in the biospheric carbon uptake period. EGUsphere (2024)

Han, B.; Zhang, S.; Shi, X.; Reichstein, M.: Bridging remote sensors with multisensor geospatial foundation models. arXiv (2024)

Reichstein, M.; Benson, V.; Camps-Valls, G.; Boran, H.; Fearnley, C.; Kornhuber, K.; Rahaman, N.; Schöllkopf, B.; Tárraga, J. M.; Vinuesa, R. et al.; Blunk, J.; Dall, K.; Denzler, J.; Frank, D.; Martini, G.; Nganga, N.; Robinson, D. M.: Early warning of complex climate risk with integrated artificial intelligence. Research Square (2024)

Cohrs, K.-H.; Varando, G.; Camps-Valls, G.; Carvalhais, N.; Reichstein, M.: Double machine learning for causal hybrid modeling - applications in the earth sciences. arXiv (2024)

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.; de Beeck, M. O.; 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. EGUsphere (2024)

Poehls, J.; Silva, L. A.; Koirala, S.; Carvalhais, N.; Reichstein, M.: Downscaling soil moisture to sub-km resolutions with simple machine learning ensembles. SSRN Research Paper Series (2024)

Tao, F.; Houlton, B. Z.; Frey, S. D.; Lehmann, J.; Manzoni, S.; Huang, Y.; Jiang, L.; Mishra, U.; Hungate, B. A.; Schmidt, M. W. I. et al.; Reichstein, M.; Carvalhais, N.; Ciais, P.; Wang, Y.-P.; Ahrens, B.; Hugelius, G.; Hocking, T. D.; Lu, X.; Shi, Z.; Viatkin, K.; Vargas, R.; Yigini, Y.; Omuto, C.; Malik, A. A.; Peralta, G.; Cuevas-Corona, R.; Paolo, L. E. D.; Luotto, I.; Liao, C.; Liang, Y.-S.; Saynes, V. S.; Huang, X.; Luo, Y.: Reply to: Contribution of carbon inputs to soil carbon accumulation cannot be neglected. bioRxiv: the preprint server for biology (2023)