Publikationen

Zhao, W.; Winkler, A.; Reichstein, M.; Orth, R.; Gentine, P.: Learning evaporative fraction with memory. Hydrology and Earth System Sciences 30 (16), S. 5373 - 5394 (2026)

Kreibich, H.; Swain, D. L.; Chang, F.-J.; Reichstein, M.; Benson, V.; Holden, P.; Yang, T.; Sultana, F.; Funk, C.; Kobei, D.: Stewardship under shifting drought baselines. One Earth 9 (5), 101707 (2026)

Pu, J.; Gao, S.; Yan, K.; Sun, X.; Winkler, A.; Wang, Q.; Mynen, R. B.: Disentangling the effects of FPAR, CO₂, and climate on terrestrial vegetation productivity trends over two decades (2001–2023). Agricultural and Forest Meteorology 382, 111122 (2026)

Pereira Santos, A.; De Angeli, S.; Hanf, F. S.; Mirbach, C.; van Maanen, N.; Benson, V.; de Ruiter, M. C.; Dunant, A.; Terzi, S.; Schweizer, P.-J. et al.; Carvalho, T. M. N.; de Brito, M. M.; De Polt, K.; Trogrlic, R. S.; van den Homberg, M.: Workshop report—Vulnerability in multi-hazard risks: Addressing its complexity and dynamics. iScience 29 (4), 115250 (2026)

Zhao, W.; Fang, J.; Yang, T.; Lian, X.; Winkler, A.; Sun, F.; Gentine, P.: Observation-constrained physical snow water equivalent simulations using a physics-guided machine learning approach. Water Resources Research 62 (3), e2025WR041406 (2026)

Pu, J.; Chang, Y.; Winkler, A.; Zuo, Z.; Chen, C.; Knyazikhin, Y.; Myneni, R. B.: Large gains in leaf scale photosynthetic rates of sparsely vegetated arid and semi-arid lands. Communications Earth & Environment 7, 97 (2026)

ElGhawi, R.; Reimers, C.; Schnur, R.; Reichstein, M.; Körner, M.; Carvalhais, N.; Winkler, A. J.: Hybrid‐modeling of land‐atmosphere fluxes using integrated machine learning in the ICON‐ESM modeling framework. Journal of Advances in Modeling Earth Systems 17 (12), e2025MS005102 (2025)

ElGhawi, R.; Winkler, A.; Reimers, C.; Schall, A.; Gensheimer, J.; Kraft, B.: Imitation or identification: limitations of deep learning in extrapolating to future climate-carbon cycle change. Machine Learning: Earth 1 (1), 01LT02 (2025)

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)

Yu, X.; Yan, K.; Pu, J.; Liu, J.; Wu, J.; Winkler, A. J.; Wang, Q.; Myneni, R. B.: MUSTI: Multi-scale spatiotemporal tensor imputation for global leaf area index time series reconstruction. Remote Sensing of Environment 345, 115559 (2025)