Kraft, B.; Besnard, S.; Koirala, S.: Emulating ecological memory with recurrent neural networks. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 269 - 281 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)

Mateo-García, G.; Laparra, V.; Requena Mesa, C.; Gómez-Chova, L.: Generative adversarial networks in the Geosciences. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 24 - 36 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)

Reichstein, M.; Camps-Valls, G.; Tuia, D.; Zhu, X. X.: Outlook. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 328 - 330 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)

Tibau, X.-A.; Reimers, C.; Requena Mesa, C.; Runge, J.: Spatio-temporal Autoencoders in Weather and Climate Research. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 186 - 203 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)

Reimers, C.; Bodesheim, P.; Runge, J.; Denzler, J.: Conditional adversarial debiasing: Towards learning unbiased classifiers from biased data. In: Pattern Recognition. DAGM GCPR 2021. Lecture Notes in Computer Science, Vol. 13024, pp. 48 - 62. Springer International Publishing, Cham (2021)

Murray, V.; Abrahams, J.; Abdallah, C.; Ahmed, K.; Angeles, L.; Benouar, D.; Torres, B. A.; Choe, H. C.; Cox, S.; Douris, J. et al.; Fagan, L.; Paleo, F. U.; Han, Q.; Handmer, J.; Hodson, S.; Khim, W.; Mayner, L.; Moody, N.; Luiz Leal, M.; Osvaldo, N.; Michael, N. J.; Peduzzi, P.; Perwaiz, A.; Peters, K.; Radisch, J.; Reichstein, M.; Schneider, J.; Smith, A.; Souch, C.; Stevance, A.-S.; Triyanti, A.; Weir, M.; Wright, N.: Hazard Information Profiles: Supplement to UNDRR-ISC Hazard Definition & Classification Review. In: UNDRR-ISC Hazard Definition & Classification Review: Technical Report: Geneva, Switzerland, United Nations Office for Disaster Risk Reduction; Paris, France, International Science Council. UNDDR, Geneva (2020)

Reichstein, M.; Frank, D.; Sillmann, J.; Sippel, S.: Outlook: Challenges for societal resilience under climate extremes. In: Climate extremes and their implications for impact and risk assessment, pp. 341 - 353 (Eds. Sillmann, J.; Sippel, S.; Russo, S.). Elsevier, Amsterdam (2019)

Mahecha, M. D.; Guha-Sapir, D.; Smits, J.; Gans, F.; Kraemer, G.: Data challenges limit our global understanding of humanitarian disasters triggered by climate extremes. In: Climate Extremes and Their Implications for Impact and Risk Assessment, pp. 243 - 256 (Eds. Sillmann, J.; Sippel, S.; Russo, S.). Elsevier, Amsterdam (2019)

Requena-Mesa, C.; Reichstein, M.; Mahecha, M. D.; Kraft, B.; Denzler, J.: Predicting landscapes from environmental conditions using generative networks. In: Pattern Recognition, DAGM GCPR 2019, pp. 203 - 217 (Eds. FInk, G. A.; Frintrop, S.; Jiang, X.). Springer, Cham (2019)

Shadaydeh, M.; Denzler, J.; Garcia, Y. G.; Mahecha, M. D.: Time-frequency causal inference uncovers anomalous events in environmental systems. In: Pattern Recognition, DAGM GCPR 2019, pp. 499 - 512 (Eds. FInk, G. A.; Frintrop, S.; Jiang, X.). Springer, Cham (2019)

Trifunov, V. T.; Shadaydeh, M.; Runge, J.; Eyring, V.; Reichstein, M.; Denzler, J.: Nonlinear causal link estimation under hidden confounding with an application to time series anomaly detection. In: Pattern Recognition, DAGM GCPR 2019, pp. 261 - 273 (Eds. Fink, G. A.; Frintrop, S.; Jiang, X.). Springer, Cham (2019)

Flach, M.; Lange, H.; Foken, T.; Hauhs, M.: Recurrence analysis of Eddy covariance fluxes. In: Recurrence Plots and Their Quantifications: Expanding Horizons, Vol. 180, pp. 301 - 319 (Eds. Webber Jr., C. L.; Ioana, C.; Marwan, N.). Springer International Publishing, Switzerland (2016)

Lange, H.; Boese, S.: Recurrence quantification and recurrence network analysis of global photosynthetic activity. In: Recurrence Quantification Analysis: Theory and Best Practices, pp. 349 - 374 (Eds. Webber, C. L.; Marwan, N.). Springer, Cham [u.a.] (2014)

Reichstein, M.; Richardson, A. D.; Migliavacca, M.; Carvalhais, N.: Plant–environment interactions across multiple scales. In: Ecology and the Environment, pp. 1 - 27 (Ed. Monson, R. K.). Springer, New York (2014)

Ciais, P.; Sabine, C.; Bala, G.; Bopp, L.; Brovkin, V.; Canadell, J.; Chhabra, A.; DeFries, R.; Galloway, J.; Heimann, M. et al.; Jones, C.; Le Quéré, C.; Mynen, R. B.; Piao, S.; Thornton, P.; Ahlström, A.; Anav, A.; Andrews, O.; Archer, D.; Arora, V.; Bonan, G.; Borges, A. V.; Bousquet, P.; Bouwman, L.; Bruhwiler, L. M.; Caldeira, K.; Cao, L.; Chappellaz, J.; Chevallier, F.; Cleveland, C.; Cox, P.; Dentener, F. J.; Doney, S. C.; Erisman, J. W.; Euskirchen, E. S.; Friedlingstein, P.; Gruber, N.; Gurney, K.; Holland, E. A.; Hopwood, B.; Houghton, R. A.; House, J. I.; Houweling, S.; Hunter, S.; Hurtt, G.; Jacobson, A. D.; Jain, A.; Joos, F.; Jungclaus, J.; Kaplan, J. O.; Kato, E.; Keeling, R.; Khatiwala, S.; Kirschke, S.; Goldewijk, K. K.; Kloster, S.; Koven, C.; Kroeze, C.; Lamarque, J.-F.; Lassey, K.; Law, R. M.; Lenton, A.; Lomas, M. R.; Luo, Y.; Maki, T.; Marland, G.; Matthews, H. D.; Mayorga, E.; Melton, J. R.; Metzl, N.; Munhoven, G.; Niwa), Y.; Norby, R. J.; O’Connor, F.; Orr, J.; Park, G.-H.; Patra, P.; Peregon, A.; Peters, W.; Peylin, P.; Piper, S.; Pongratz, J.; Poulter, B.; Raymond, P. A.; Rayner, P.; Ridgwell, A.; Ringeval, B.; Rödenbeck, C.; Saunois, M.; Schmittner, A.; Schuur, E.; Sitch, S.; Spahni, R.; Stocker, B.; Takahashi, T.; Thompson, R. L.; Tjiputra, J.; van der Werf, G.; van Vuuren, D.; Voulgarakis, A.; Wania, R.; Zaehle, S.; Zeng, N.: Carbon and other biogeochemical cycles. In: Climate Change 2013, The Physical Science Basis, WG I, Contribution to the fifth assessment report of the IPCC, pp. 465 - 570 (Eds. Stocker, T. F.; Qin, D.). Cambridge University Press, New York, USA (2013)

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)