Publications of Markus Reichstein

Preprint (12)

381.
Preprint
Bohn, F. J.; Bastos, A.; Martin, R.; Rammig, A.; Koh, N. S.; Sioen, G. B.; Buscher, B.; Carver, L.; DeClerck, F.; Drupp, M. et al.; Fletcher, R.; Forrest, M.; Gasparatos, A.; Godoy-Faúndez, A.; Hagedorn, G.; Hänsel, M.; Hetzer, J.; Hickler, T.; Krug, C. B.; Koot, S.; Li, X.; Luers, A.; Matevich, S.; Matthews, H. D.; Meier, I. C.; Mohamed, A.; O, S.; Obura, D.; Orlove, B.; Orth, R.; Pereira, L.; Reichstein, M.; Thakholi, L.; Verburg, P.; Yoshida, Y.: Reviews and syntheses: Current perspectives on biosphere research – 2024. EGUsphere (2024)
382.
Preprint
Kariyathan, T.; Bastos, A.; Reichstein, M.; Peters, W.; Marshall, J.: How atmospheric CO2 can inform us on annual and decadal shifts in the biospheric carbon uptake period. EGUsphere (2024)
383.
Preprint
Han, B.; Zhang, S.; Shi, X.; Reichstein, M.: Bridging remote sensors with multisensor geospatial foundation models. arXiv (2024)
384.
Preprint
Reichstein, M.; Benson, V.; Camps-Valls, G.; Boran, H.; Fearnley, C.; Kornhuber, K.; Rahaman, N.; Schöllkopf, B.; Tárraga, J. M.; Vinuesa, R. et al.; Blunk, J.; Dall, K.; Denzler, J.; Frank, D.; Martini, G.; Nganga, N.; Robinson, D. M.: Early warning of complex climate risk with integrated artificial intelligence. Research Square (2024)
385.
Preprint
Tao, F.; Houlton, B. Z.; Frey, S. D.; Lehmann, J.; Manzoni, S.; Huang, Y.; Jiang, L.; Mishra, U.; Hungate, B. A.; Schmidt, M. W. I. et al.; Reichstein, M.; Carvalhais, N.; Ciais, P.; Wang, Y.-P.; Ahrens, B.; Hugelius, G.; Hocking, T. D.; Lu, X.; Shi, Z.; Viatkin, K.; Vargas, R.; Yigini, Y.; Omuto, C.; Malik, A. A.; Peralta, G.; Cuevas-Corona, R.; Paolo, L. E. D.; Luotto, I.; Liao, C.; Liang, Y.-S.; Saynes, V. S.; Huang, X.; Luo, Y.: Reply to: Contribution of carbon inputs to soil carbon accumulation cannot be neglected. bioRxiv: the preprint server for biology (2023)
386.
Preprint
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)
387.
Preprint
Robin, C.; Requena Mesa, C.; Benson, V.; Alonso, L.; Poehls, J.; Carvalhais, N.; Reichstein, M.: Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs. arXiv (2022)
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