Frank, D.; Reichstein, M.; Miglietta, F.; Pereira, J.S.: Impact of climate variability and extremes on the carbon cycle of the Mediterranean region. In: Regional Assessment of Climate Change in the Mediterranean; Volume 2: Agriculture, Forests and Ecosystem Services and People, Vol. 51, pp. 31 - 47 (Eds. Navarra, A.; Tubiana, L.). Springer, New York (2013)

Aubinet, M.; Feigenwinter, C.; Heinesch, B.; Laffineur, Q.; Papale, D.; Reichstein, M.; Rinne, J.; van Gorsel, E.: Nighttime flux correction. In: Eddy Covariance: A Practical Guide to Measurement and Data Analysis Series: Springer Atmospheric Sciences (Eds. Aubinet, M.; Vesala, T.; Papale, D.) (2012)

Reichstein, M.; Stoy, P. C.; Desai, A. R.; Lasslop, G.; Richardson, A. D.: Partitioning of net fluxes. In: Eddy Covariance: A Practical Guide to Measurement and Data Analysis, pp. 263 - 289 (Eds. Aubinet, M.; Vasala, T.; Papale, D.). Springer, Atmospheric Sciences (2012)

Richardson, A.D.; Aubinet, M.; Barr, A.G.; Hollinger, D.Y.; Ibrom, A.; Lasslop, G.; Reichstein, M.: Uncertainty quantification. In: Eddy Covariance: A Practical Guide to Measurement and Data Analysis (Eds. Aubinet, M.; Vesala, T.; Papale, D.) (2012)

Seneviratne, S. I.; Easterling, D.; Goodess, C. M.; Kanae, S.; Kossin, J.; Luo, Y.; Marengo, J.; McInnes, K.; Rahimi, M.; Reichstein, M. et al.; Sorteberg, A.; Vera, C.; Zhang, X.: Changes in climate extremes and their impacts on the natural physical environment. In: Managing the risks of extreme events and disasters to advance climate change adaptation: Special report of the Intergovernmental Panel on Climate Change, pp. 109 - 230 (Eds. Field, C. B.; Barros, V.; Stocker, T. F.; Qin, D.; Dokken, D. J. et al.). Cambridge University Press, Cambridge (2012)

Dinh, T. L. A.; Goll, D.; Ciais, P.; Carvalhais, N.; Lauerwald, R.: Benchmarking simulations of forest regrowth across Europe. In: EGU General Assembly 2024. EGU General Assembly 2024, Vienna, Austria, April 14, 2024 - April 19, 2024. (2024)

Voigt, H.; Carvalhais, N.; Meuschke, M.; Reichstein, M.; Zarrie, S.; Lawonn, K.: VIST5: An adaptive, retrieval-augmented language model for visualization-oriented dialog. In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 70 - 81. The 2023 Conference on Empirical Methods in Natural Language Processing, Singapure, December 06, 2023 - December 10, 2023. Association for Computational Linguistics, Singapur (2023)

Friede, D.; Reimers, C.; Stuckenschmidt, H.; Niepert, M.: Learning disentangled discrete representations. Machine learning and knowledge discovery in databases: Research track. ECML PKDD 2023. Lecture Notes in Computer Science 14172, pp. 593 - 609 (2023)

Brandt, G.; Balfanz, A.; Fomferra, N.; Harish, T. M.; Mahecha, M.; Kraemer, G.; Montero, D.; Meißl, S.; Achtsnit, S.; Umlauft, J. et al.; Neumann, A.; Horton, A.; Ewart, M.; Gans, F.; Anghelea, A.: DeepESDL – an open platform for research and collaboration in Earth Sciences. EGU General Assembly 2023, EGU23-15225, Vienna, Austria, April 24, 2023 - April 28, 2023. EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15225, (2023)

Bastos, A.: Carbon budgets from global to regional scales: current challenges and future perspectives. In: EGU General Assembly 2022, Vienna, Austria. (accepted)

Sillmann, J.; Christensen, I.; Hochrainer-Stigler, S.; Huang-Lachmann, J.-T.; Juhola, S.; Kornhuber, K.; Mahecha, M. D.; Mechler, R.; Reichstein, M.; Ruane, A. C. et al.; Schweizer, P.-J.; Williams, S.: Briefing note on systemic risk. International Science Council, pp. 1 - 35 (2022)

Pacheco-Labrador, J.; Weber, U.; Ma, X.; Mahecha, M. D.; Carvalhais, N.; Wirth, C.; Huth, A.; Bohn, F. J.; Kraemer, G.; Heiden, U. et al.; members, F.; Migliavacca, M.: Evalutating the potential of desis to infer plant taxonomical and functional diversities in europwean forests. In: 1st DESIS User Workshop – Imaging Spectrometer Space Mission, Calibration and Validation, Applications, Methods, Vol. XLVI-1/W1-2021, pp. 49 - 55. 1st DESIS User Workshop on Imaging Spectrometer Space Mission, Calibration and Validation, Applications, Methods, ELECTR NETWORK, September 28, 2021 - October 01, 2021. (2022)

Gottfriedsen, J.; Berrendorf, M.; Gentine, P.; Hassler, B.; Reichstein, M.; Weigel, K.; Eyring, V.: On the generalization of agricultural drought classification from climate data. In: NeurIPS 2021. Workshop - Tackling Climate Change with Machine Learning On the Generalization of ML-based Agricultural Drought Classification from Climate Date, 2021. (2021)

Körschens, M.; Bodesheim, P.; Römermann, C.; Bucher, S. F.; Migliavacca, M.; Ulrich, J.; Denzler, J.: Automatic plant cover estimation with convolutional neural networks. In: GI-Edition: lecture notes in informatics. Proceedings. Informatik 2021 : computer science & sustainability, Berlin / Gesellschaft für Informatik e.V. (GI) (Hrsg.) , September 27, 2021 - October 01, 2021. Ges. für Informatik, Bonn (2021)

Requena Mesa, C.; Benson, V.; Reichstein, M.; Runge, J.; Denzler, J.: EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW, Nashville, TN, USA , June 19, 2021 - June 25, 2021. IEEE, Nashville, TN, USA (2021)

Adsuara, J. E.; Perez-Suay, A.; Moreno-Martınez, A.; Camps-Valls, G.; Kraemer, G.; Reichstein, M.; Mahecha, M. D.: Discovering differential equations from earth observation data. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 3999 - 4002. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, September 26, 2020 - October 02, 2020. IEEE (2021)

Camps-Valls, G.; Reichstein, M.; Zhu, X.; Tuia, D.: Advancing deep learning for earth sciences: From hybrid modeling to interpretability. In: IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, pp. 3979 - 3982. IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, ELECTR NETWORK, September 26, 2020 - October 02, 2020. (2020)

Gonzalez-Cascon, R.; Pacheco-Labrador, J.; Moreno, G.; Migliavacca, M.; Martín, M.P.: Estimating leaf and canopy bichemistry variables in mediterranean holm oak (Quercus ilex from proximal and airborne hyperspectral data. In: Conference: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. Conference: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 22, 2018 - July 27, 2019. IEEE, Valencia, Spain (2018)

Guzinski, R.; Nieto, H.; El-Madany, T. S.; Migliavacca, M.; Carrara, A.: Validation of fine resolution land-surface energy fluxes derived with combined sentinel-2 and sentinel-3 observations. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 8711 - 8714. (2018)

Le Toan, T.; Chave, J.; Dall, J.; Papathanassiou, K.; Paillou, P.; Reichstein, M.; Quegan, S.; Saatchi, S.; Scipal, K.; Shugart, H. et al.; Tebaldini, S.; Ulander, L.; Williams, M.: The biomass mission: Objectives and requirements. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 8563 - 8566. (2018)