Articles | Volume 14, issue 8
Geosci. Model Dev., 14, 5269–5284, 2021
https://doi.org/10.5194/gmd-14-5269-2021
Geosci. Model Dev., 14, 5269–5284, 2021
https://doi.org/10.5194/gmd-14-5269-2021

Model experiment description paper 20 Aug 2021

Model experiment description paper | 20 Aug 2021

ATTRICI v1.1 – counterfactual climate for impact attribution

Matthias Mengel et al.

Viewed

Total article views: 1,034 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
712 291 31 1,034 66 42 38
  • HTML: 712
  • PDF: 291
  • XML: 31
  • Total: 1,034
  • Supplement: 66
  • BibTeX: 42
  • EndNote: 38
Views and downloads (calculated since 30 Jun 2020)
Cumulative views and downloads (calculated since 30 Jun 2020)

Viewed (geographical distribution)

Total article views: 894 (including HTML, PDF, and XML) Thereof 894 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Oct 2021
Download
Short summary
To identify the impacts of historical climate change it is necessary to separate the effect of the different impact drivers. To address this, one needs to compare historical impacts to a counterfactual world with impacts that would have been without climate change. We here present an approach that produces counterfactual climate data and can be used in climate impact models to simulate counterfactual impacts. We make these data available through the ISIMIP project.