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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- Detection and attribution of changes in streamflow and snowpack in Arctic river basins O. Nasonova et al. 10.1007/s10584-023-03626-w
- Global river water quality under climate change and hydroclimatic extremes M. van Vliet et al. 10.1038/s43017-023-00472-3
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- Spatiotemporal variability in extreme precipitation and associated large-scale climate mechanisms in Central Asia from 1950 to 2019 W. Wei et al. 10.1016/j.jhydrol.2023.129417
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- Attributing historical streamflow changes in the Jhelum River basin to climate change M. Javed et al. 10.1007/s10584-023-03628-8
- CHELSA-W5E5: daily 1 km meteorological forcing data for climate impact studies D. Karger et al. 10.5194/essd-15-2445-2023
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- Anticipating Climate Change Across the United States A. Bilal & E. Rossi-Hansberg 10.2139/ssrn.4475921
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- Anthropogenic influence on extreme temperature and precipitation in Central Asia B. Fallah et al. 10.1038/s41598-023-33921-6
- Attribution assessment of hydrological trends and extremes to climate change for Northern high latitude catchments in Norway X. Yang & S. Huang 10.1007/s10584-023-03615-z
- 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
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- Climate signals in river flood damages emerge under sound regional disaggregation I. Sauer et al. 10.1038/s41467-021-22153-9
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Latest update: 19 Apr 2024
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...
