Crossmark

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

Crossref DOI link: https://doi.org/10.1038/s41558-021-01168-6

Published Online: 2021-10-11

Published Print: 2021-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Callaghan, Max http://orcid.org/0000-0001-8292-8758
Schleussner, Carl-Friedrich http://orcid.org/0000-0001-8471-848X
Nath, Shruti

Lejeune, Quentin http://orcid.org/0000-0001-9152-3197
Knutson, Thomas R. http://orcid.org/0000-0003-4541-519X
Reichstein, Markus http://orcid.org/0000-0001-5736-1112
Hansen, Gerrit

Theokritoff, Emily http://orcid.org/0000-0003-0632-9862
Andrijevic, Marina http://orcid.org/0000-0003-0199-1988
Brecha, Robert J. http://orcid.org/0000-0002-6716-6545
Hegarty, Michael

Jones, Chelsea http://orcid.org/0000-0003-3701-7845
Lee, Kaylin

Lucas, Agathe

van Maanen, Nicole http://orcid.org/0000-0002-2599-0042
Menke, Inga http://orcid.org/0000-0001-8171-8791
Pfleiderer, Peter http://orcid.org/0000-0002-1493-4598
Yesil, Burcu

Minx, Jan C. http://orcid.org/0000-0002-2862-0178
Funding

Funding for this research was provided by:

Heinrich Böll Stiftung
License Information

Text and Data Mining valid from 2021-10-11

Version of Record valid from 2021-10-11
More Information

Article History

Received: 31 May 2021

Accepted: 31 August 2021

First Online: 11 October 2021

Competing interests

: The authors declare no competing interests.