Machine-learning-based evidence and attribution mapping of 100,000 climate 
impact studies

Callaghan, Max; Schleussner, Carl-Friedrich; Nath, Shruti; Lejeune, Quentin; Knutson, Thomas R.; Reichstein, Markus; Hansen, Gerrit; Theokritoff, Emily; Andrijevic, Marina; Brecha, Robert J.; Hegarty, Michael; Jones, Chelsea; Lee, Kaylin; Lucas, Agathe; van Maanen, Nicole; Menke, Inga; Pfleiderer, Peter; Yesil, Burcu; Minx, Jan C.

doi:10.1038/s41558-021-01168-6

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Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies

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Reichstein, Markus
Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Callaghan, M., Schleussner, C.-F., Nath, S., Lejeune, Q., Knutson, T. R., Reichstein, M., et al. (2021). Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies. Nature Climate Change, 11, 966-972. doi:10.1038/s41558-021-01168-6.

Cite as: https://hdl.handle.net/21.11116/0000-0009-573E-1

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