Publications of Nora Linscheid

Li, N.; Sippel, S.; Linscheid, N.; Mahecha, M. D.; Reichstein, M.; Bastos, A.: Quantifying the time of emergence of the anthropogenic signal in the global land carbon sink. Biogeosciences 23 (2), pp. 767 - 792 (2026)

Weynants, M.; Ji, C.; Linscheid, N.; Weber, U.; Mahecha, M. D.; Gans, F.: Dheed: an ERA5 based global database of compound dry and hot extreme events from 1950 to 2023. Earth System Science Data 17 (11), pp. 6621 - 6645 (2025)

Li, N.; Sippel, S.; Linscheid, N.; Rödenbeck, C.; Winkler, A.; Reichstein, M.; Mahecha, M. D.; Bastos, A.: Enhanced global carbon cycle sensitivity to tropical temperature linked to internal climate variability. Science Advances 10 (39), eadl6155 (2024)

Anand, M.; Hamed, R.; Linscheid, N.; Silva, P. S.; Andre, J.; Zscheischler, J.; Garry, F. K.; Bastos, A.: Winter climate preconditioning of summer vegetation extremes in the northern hemisphere. Environmental Research Letters 19 (9), 094045 (2024)

Linscheid, N.; Mahecha, M. D.; Rammig, A.; Carvalhais, N.; Gans, F.; Nelson, J. A.; Walther, S.; Weber, U.; Reichstein, M.: Time–scale dependent relations between Earth Observation based proxies of vegetation productivity. Geophysical Research Letters 48 (24), e2021GL093285 (2021)

Besnard, S.; Santoro, M.; Cartus, O.; Fan, N.; Linscheid, N.; Nair, R.; Weber, U.; Koirala, S.; Carvalhais, N.: Global sensitivities of forest carbon changes to environmental conditions. Global Change Biology 27 (4), pp. 6467 - 6483 (2021)

Linscheid, N.; Estupinan-Suarez, L. M.; Brenning, A.; Carvalhais, N.; Cremer, F.; Gans, F.; Rammig, A.; Reichstein, M.; Sierra, C.; Mahecha, M. D.: Towards a global understanding of vegetation–climate dynamicsat multiple timescales. Biogeosciences 17 (4), pp. 945 - 962 (2020)

Benson, V.; Robin, C.; Requena Mesa, C.; Alonso, L.; Carvalhais, N.; Cortés, J.; Gao, Z.; Linscheid, N.; Weynants, M.; Reichstein, M.: Multi-modal learning for geospatial vegetation forecasting. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle , June 17, 2024 - June 21, 2024. (2024)

Linscheid, N.: Understanding ecosystem-climate interaction across timescales. Dissertation, Technical University of Munich, München (2025)

Weynants, M.; Gans, F.; Linscheid, N.: Dheed: a global database of dry and hot extreme events [Data set]. (2025)

Cremer, F.; Linscheid, N.; Mahecha, M. D.; Urbazaev, M.; Truckenbrodt, J.; Uhde, A.; Schmullius, C. C.; Thiel, C.: Influence of flooding underneath the Amazon rainforest on Sentinel-1 backscatter. TechRxiv (2023)

Benson, V.; Requena Mesa, C.; Robin, C.; Alonso, L.; Cortés, J.; Gao, Z.; Linscheid, N.; Weynants, M.; Reichstein, M.: Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction. arXiv (2023)