The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7
<p>The first version of the Detection and Attribution Model Intercomparison Project (DAMIP v1.0) coordinated key simulations exploring the role of individual forcings in past, current and future climate as part of the Coupled Model Intercomparison Project, Phase 6 (CMIP6). The simulations have...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/18/4399/2025/gmd-18-4399-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849717571442442240 |
|---|---|
| author | N. P. Gillett I. R. Simpson G. Hegerl R. Knutti D. Mitchell A. Ribes H. Shiogama D. Stone C. Tebaldi P. Wolski W. Zhang V. K. Arora |
| author_facet | N. P. Gillett I. R. Simpson G. Hegerl R. Knutti D. Mitchell A. Ribes H. Shiogama D. Stone C. Tebaldi P. Wolski W. Zhang V. K. Arora |
| author_sort | N. P. Gillett |
| collection | DOAJ |
| description | <p>The first version of the Detection and Attribution Model Intercomparison Project (DAMIP v1.0) coordinated key simulations exploring the role of individual forcings in past, current and future climate as part of the Coupled Model Intercomparison Project, Phase 6 (CMIP6). The simulations have been used extensively in the literature for detection and attribution of long-term changes, constraining projections of climate change, attributing extreme events and understanding drivers of past and future simulated climate changes. Attribution studies using DAMIP v1.0 simulations underpinned prominent assessments of human-induced warming in the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report. Here, we describe the set of DAMIP v2.0 simulations, proposed for the next phase of CMIP, CMIP7. Detection and attribution studies rely on pre-industrial control simulations and historical simulations, which will be part of the Diagnostic, Evaluation and Characterization of Klima (DECK) set of simulations for CMIP7. In addition, we identify the three highest-priority single-forcing experiments for CMIP7 to be run as “Assessment Fast Track” simulations in support of the Seventh Assessment Report of the IPCC: simulations with natural forcings only, anthropogenic well-mixed greenhouse gases only and anthropogenic aerosols only. Beyond this, the DAMIP v2.0 experimental design includes full-column ozone-only simulations and land-use-only simulations, such that the set of individual forcing experiments, when these are considered together, represents the full set of historical forcings. While concentration-driven simulations are prioritised for attribution, emissions-driven versions of the DAMIP experiments are also proposed to support understanding of the influence of carbon-cycle feedbacks on the simulated responses to individual forcings.</p> |
| format | Article |
| id | doaj-art-6cd0e4b29db34fac9f9031d45beaf123 |
| institution | DOAJ |
| issn | 1991-959X 1991-9603 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj-art-6cd0e4b29db34fac9f9031d45beaf1232025-08-20T03:12:36ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032025-07-01184399441610.5194/gmd-18-4399-2025The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7N. P. Gillett0I. R. Simpson1G. Hegerl2R. Knutti3D. Mitchell4A. Ribes5H. Shiogama6D. Stone7C. Tebaldi8P. Wolski9W. Zhang10V. K. Arora11Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC, CanadaClimate and Global Dynamics Laboratory, NSF National Center for Atmospheric Research, Boulder, CO, USASchool of GeoSciences, University of Edinburgh, Edinburgh, UKInstitute for Atmospheric and Climate Science, ETH Zürich, Universitätstrasse 16, 8092 Zurich, SwitzerlandSchool of Geographical Sciences, University of Bristol, Bristol, UKCNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, FranceNational Institute for Environmental Studies, Tsukuba, 305-8506, JapanNational Institute of Water and Atmospheric Research, Wellington, 6021, New ZealandJoint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USAClimate System Analysis Group, University of Cape Town, Cape Town, South AfricaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaCanadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC, Canada<p>The first version of the Detection and Attribution Model Intercomparison Project (DAMIP v1.0) coordinated key simulations exploring the role of individual forcings in past, current and future climate as part of the Coupled Model Intercomparison Project, Phase 6 (CMIP6). The simulations have been used extensively in the literature for detection and attribution of long-term changes, constraining projections of climate change, attributing extreme events and understanding drivers of past and future simulated climate changes. Attribution studies using DAMIP v1.0 simulations underpinned prominent assessments of human-induced warming in the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report. Here, we describe the set of DAMIP v2.0 simulations, proposed for the next phase of CMIP, CMIP7. Detection and attribution studies rely on pre-industrial control simulations and historical simulations, which will be part of the Diagnostic, Evaluation and Characterization of Klima (DECK) set of simulations for CMIP7. In addition, we identify the three highest-priority single-forcing experiments for CMIP7 to be run as “Assessment Fast Track” simulations in support of the Seventh Assessment Report of the IPCC: simulations with natural forcings only, anthropogenic well-mixed greenhouse gases only and anthropogenic aerosols only. Beyond this, the DAMIP v2.0 experimental design includes full-column ozone-only simulations and land-use-only simulations, such that the set of individual forcing experiments, when these are considered together, represents the full set of historical forcings. While concentration-driven simulations are prioritised for attribution, emissions-driven versions of the DAMIP experiments are also proposed to support understanding of the influence of carbon-cycle feedbacks on the simulated responses to individual forcings.</p>https://gmd.copernicus.org/articles/18/4399/2025/gmd-18-4399-2025.pdf |
| spellingShingle | N. P. Gillett I. R. Simpson G. Hegerl R. Knutti D. Mitchell A. Ribes H. Shiogama D. Stone C. Tebaldi P. Wolski W. Zhang V. K. Arora The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7 Geoscientific Model Development |
| title | The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7 |
| title_full | The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7 |
| title_fullStr | The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7 |
| title_full_unstemmed | The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7 |
| title_short | The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7 |
| title_sort | detection and attribution model intercomparison project damip v2 0 contribution to cmip7 |
| url | https://gmd.copernicus.org/articles/18/4399/2025/gmd-18-4399-2025.pdf |
| work_keys_str_mv | AT npgillett thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT irsimpson thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT ghegerl thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT rknutti thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT dmitchell thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT aribes thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT hshiogama thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT dstone thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT ctebaldi thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT pwolski thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT wzhang thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT vkarora thedetectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT npgillett detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT irsimpson detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT ghegerl detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT rknutti detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT dmitchell detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT aribes detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT hshiogama detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT dstone detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT ctebaldi detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT pwolski detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT wzhang detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 AT vkarora detectionandattributionmodelintercomparisonprojectdamipv20contributiontocmip7 |