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
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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Cited
19 citations as recorded by crossref.
- Food Security and Sustainability: Discussing the Four Pillars to Encompass Other Dimensions R. Guiné et al. 10.3390/foods10112732
- Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies M. Callaghan et al. 10.1038/s41558-021-01168-6
- PSEUDO OBSERVATION DATA CREATION METHOD FOR HYDROMETEOROLOGICAL FACTORS BASED ON REANALYSIS DATA K. WADA et al. 10.2208/jscejhe.78.2_I_115
- More people too poor to move: divergent effects of climate change on global migration patterns A. Rikani et al. 10.1088/1748-9326/aca6fe
- Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method C. Rajulapati & S. Papalexiou 10.1029/2023EA002823
- Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020 D. Paprotny & M. Mengel 10.1038/s41597-023-02282-0
- 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
- Detection, attribution, and specifying mechanisms of hydrological changes in geographically different river basins A. Gelfan et al. 10.1007/s10584-023-03557-6
- CHELSA-W5E5: daily 1 km meteorological forcing data for climate impact studies D. Karger et al. 10.5194/essd-15-2445-2023
- Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming E. Molina Bacca et al. 10.1038/s43247-023-00941-z
- Anticipating Climate Change Across the United States A. Bilal & E. Rossi-Hansberg 10.2139/ssrn.4475921
- Exacerbated heat in large Canadian cities C. Rajulapati et al. 10.1016/j.uclim.2022.101097
- Anthropogenic influence on extreme temperature and precipitation in Central Asia B. Fallah et al. 10.1038/s41598-023-33921-6
- A framework for ensemble modelling of climate change impacts on lakes worldwide: the ISIMIP Lake Sector M. Golub et al. 10.5194/gmd-15-4597-2022
- Projected landscape-scale repercussions of global action for climate and biodiversity protection P. von Jeetze et al. 10.1038/s41467-023-38043-1
- Counterfactuals to Assess Effects to Species and Systems from Renewable Energy Development T. Katzner et al. 10.3389/fcosc.2022.844286
- 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
16 citations as recorded by crossref.
- Food Security and Sustainability: Discussing the Four Pillars to Encompass Other Dimensions R. Guiné et al. 10.3390/foods10112732
- Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies M. Callaghan et al. 10.1038/s41558-021-01168-6
- PSEUDO OBSERVATION DATA CREATION METHOD FOR HYDROMETEOROLOGICAL FACTORS BASED ON REANALYSIS DATA K. WADA et al. 10.2208/jscejhe.78.2_I_115
- More people too poor to move: divergent effects of climate change on global migration patterns A. Rikani et al. 10.1088/1748-9326/aca6fe
- Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method C. Rajulapati & S. Papalexiou 10.1029/2023EA002823
- Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020 D. Paprotny & M. Mengel 10.1038/s41597-023-02282-0
- 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
- Detection, attribution, and specifying mechanisms of hydrological changes in geographically different river basins A. Gelfan et al. 10.1007/s10584-023-03557-6
- CHELSA-W5E5: daily 1 km meteorological forcing data for climate impact studies D. Karger et al. 10.5194/essd-15-2445-2023
- Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming E. Molina Bacca et al. 10.1038/s43247-023-00941-z
- Anticipating Climate Change Across the United States A. Bilal & E. Rossi-Hansberg 10.2139/ssrn.4475921
- Exacerbated heat in large Canadian cities C. Rajulapati et al. 10.1016/j.uclim.2022.101097
- Anthropogenic influence on extreme temperature and precipitation in Central Asia B. Fallah et al. 10.1038/s41598-023-33921-6
- A framework for ensemble modelling of climate change impacts on lakes worldwide: the ISIMIP Lake Sector M. Golub et al. 10.5194/gmd-15-4597-2022
- Projected landscape-scale repercussions of global action for climate and biodiversity protection P. von Jeetze et al. 10.1038/s41467-023-38043-1
- Counterfactuals to Assess Effects to Species and Systems from Renewable Energy Development T. Katzner et al. 10.3389/fcosc.2022.844286
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: 01 Oct 2023
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...
