Fazayeli, F.; Banerjee, A.; Kattge, J.; Schrodt, F.; Reich, P. B.: Uncertainty quantified matrix completion using Bayesian Hierarchical Matrix factorization. In: 13th International Conference on Machine Learning and Applications (ICMLA), pp. 312 - 317. IEEE, Piscataway (2014)

Gobron, N.; Jung, M.; Belward, A.; Mélin, F.a.; Pinty, B.; Robustelli, M.; Taberner, M.: Overview and relevance of the ESA-JRC FAPAR products for land applications. In: Sustaining the millennium development goals: proceedings; 33rd International Symposium on Remote Sensing of Environment, ISRSE-33, Vol. 1, pp. 21 - 24. International Symposium on Remote Sensing of Environment, Stresa, May 04, 2009 - May 09, 2009. International Symposium on Remote Sensing of Environment, Stresa (2009)

Göhmann, H.; Herold, M.; Jung, M.; Schulz, M.; Schmullius, C.: Prototyping a probability-based Best Map Approach for global land cover datasets at 1km resolution using MODIS, GLC2000, UMD and IGBP. In: Sustaining the millennium development goals: proceedings; 33rd International Symposium on Remote Sensing of Environment, ISRSE-33, pp. 404 - 407. International Symposium on Remote Sensing of Environment, Stresa, May 09, 2009. International Symposium on Remote Sensing of Environment, Stresa (2009)

Sarkar, R.; Orth, R.; Vogel, M. M.: How has our climate changed already?, Frontiers for Young Minds 11, (2023)

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)

De, R.; Brenning, A.; Reichstein, M.; Sigut, L.; Reverter, B. R.; Korkiakoski, M.; Paul-Limoges, E.; Blanken, P. D.; Black, T. A.; Gielen, B. et al.; Tagesson, T.; Wohlfahrt, G.; Montagnani, L.; Wolf, S.; Chen, J.; Liddell, M.; Desai, A.; Koirala, S.; Carvalhais, N.: Inter–annual variability of hydrological parameters improves simulation of annual gross primary production. ESS Open Archive (2025)

Kepp, J.; Kiese, R.; Klaus, V. H.; Kleinebecker, T.; Pacay-Barrientos, N. L.; Schäufele, R.; Schloter, M.; Schöning, I.; Schrumpf, M.; Schulz, S. et al.; Schwärzler, T.; Schweizer, S. A.; Dannenmann, M.: Long-term changes of delta15n natural abundance in 72 temperate grassland soils are small and indicate management rather than climate and biodiversity. SSRN Conference Paper Series (2025)

De Polt, K.; Dormann, C. F.; Ward, P. J.; De Ruiter, M. C.; Runkle, J. D.; Wutzler, T.; Reichstein, M.; Orth, R.: Regional differences in the impact of heat and moisture on public health within Europe. ESS Open Archive (2025)

Shi, Z.; Zhao, W.; Xiong, Y.; Lian, X.; Fang, J.; Jiang, S.; Yan, C.; Winkler, A.; Qiu, G. Y.: A theoretical framework for critical canopy temperature and its potential to improve remote-sensing-based estimation of evapotranspiration. SSRN Conference Paper Series (2025)

Cattry, M.; Zhao, W.; Nathaniel, J.; Qiu, J.; Zhang, Y.; Gentine, P.: EcoPro-LSTM_v0: A memory-based machine learning approach to predicting ecosystem dynamics across time scales in mediterranean environments. EGUsphere (2025)

Zhao, W.; Winkler, A.; Reichstein, M.; Orth, R.; Gentine, P.: Learning evaporative fraction with memory. EGUsphere (2025)

Botia, S.; Dias-Junior, C. Q.; Komiya, S.; van der Woude, A.; Terristi, M.; de Kok, R.; Koren, G.; van Asperen, H.; Jones, S. P.; D'Oliveira, F. A. F. et al.; Weber, U.; Marques-Filho, E.; Toro, I. M. C.; Araújo, A.; Lavric, J.; Walter, D.; Li, X.; Wigneron, J.-P.; Stocker, B.; de Souza, J. G.; O'Sullivan, M.; Sitch, S.; Ciais, P.; Chevallier, F.; Li, W.; Luijkx, I. T.; Peters, W.; Quesada, C. A.; Zaehle, S.; Trumbore, S. E.; Bastos, A.: Reduced vegetation uptake during the extreme 2023 drought turns the Amazon into a weak carbon source. ESS Open Archive (2025)

Kösters, L.; Karbstein, K.; Hofmann, M.; Hodac, L.; Mäder, P.; Wäldchen, J.: Data fusion for integrative species identification using deep learning. bioRxiv: the preprint server for biology (2025)

Pacheco-Labrador, J.; Gomarasca, U.; Pabon-Moreno, D. E.; Li, W.; Migliavacca, M.; Jung, M.; Duveiller, G.: BOSSE v1.0: the Biodiversity Observing System Simulation Experiment. EGUsphere (2025)

Tarieiev, A.; Karbstein, K.; Gailing, O.: Phylogenetic and taxonomic insights into Betula: low-coverage whole genome sequencing and plastome analysis with focus on the rare Ukrainian endemic species Betula klokovii Zaverucha. bioRxiv: the preprint server for biology (2025)

Karbstein, K.; Choudhary, N.; Xie, T.; Tomasello, S.; Wagner, N. D.; Barke, B. H.; Paetzold, C.; Bradican, J. P.; Michaela, P.; Himmelbach, A. et al.; Stein, N.; Papantonis, A.; Irisarri, I.; de Vries, J.; Pucker, B.; Hörandl, E.: Efficient assembly of plant genomes: A case study with evolutionary implications in Ranunculus (Ranunculaceae). bioRxiv: the preprint server for biology (2024)

Orth, R.; Denissen, J.; Kroll, J.; O, S.; Bastos, A.; Li, W.; Miralles, D.; Ruiz-Vasquez, M.; Hoek van Dijke, A. J.; Feldman, A. et al.; Migliavacca, M.; Wang-Erlandsson, L.; Stocker, B.; Teuling, A. J.; Yang, H.; Zhan, C.; Yu, X.: Changing water availability and demand shift global greening to regional browning. Research Square (2024)

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)

Raoult, N.; Douglas, N.; MacBean, N.; Kolassa, J.; Quaife, T.; Roberts, A. G.; Fisher, R. A.; Fer, I.; Bacour, C.; Dagon, K. et al.; Hawkins, L.; Carvalhais, N.; Cooper, E.; Dietze, M.; Gentine, P.; Kaminski, T.; Kennedy, D.; Liddy, H. M.; Moore, D.; Peylin, P.; Pinnington, E.; Sanderson, B. M.; Scholze, M.; Seiler, C.; Smallman, T. L.; Vergopolan, N.; Viskari, T.; Williams, M.; Zobitz, J.: Parameter estimation in land surface models: Challenges and opportunities with data assimilation and machine learning. ESS Open Archive (2024)