Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-5269-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-5269-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
20 Aug 2021
Model experiment description paper |
| 20 Aug 2021
| 20 Aug 2021
ATTRICI v1.1 – counterfactual climate for impact attribution
Matthias Mengel
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Simon Treu
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Stefan Lange
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Katja Frieler
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
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- Global burned area increasingly explained by climate change C. Burton et al. 10.1038/s41558-024-02140-w
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- Increasing dam failure risk in the USA due to compound rainfall clusters as climate changes J. Hwang & U. Lall 10.1038/s44304-024-00027-6
- Attribution of current trends in streamflow to climate change for 12 Central Asian catchments I. Didovets et al. 10.1007/s10584-023-03673-3
- Projected landscape-scale repercussions of global action for climate and biodiversity protection P. von Jeetze et al. 10.1038/s41467-023-38043-1
- Historical climate impact attribution of changes in river flow and sediment loads at selected gauging stations in the Nile basin A. Nkwasa et al. 10.1007/s10584-024-03702-9
- Large increase in extreme fire weather synchronicity over Europe M. Torres-Vázquez et al. 10.1088/1748-9326/ada8c2
3 citations as recorded by crossref.
- ATTRICI v1.1 – counterfactual climate for impact attribution M. Mengel et al. 10.5194/gmd-14-5269-2021
- Climate signals in river flood damages emerge under sound regional disaggregation I. Sauer et al. 10.1038/s41467-021-22153-9
- G‐RUN ENSEMBLE: A Multi‐Forcing Observation‐Based Global Runoff Reanalysis G. Ghiggi et al. 10.1029/2020WR028787
Latest update: 08 May 2025
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.
To identify the impacts of historical climate change it is necessary to separate the effect of...
