The Detection and Attribution Model Intercomparison  Project (DAMIP v2.0) contribution to CMIP7

Gillett, Nathan P.; Simpson, Isla R.; Hegerl, Gabi; Knutti, Reto; Mitchell, Dann; Ribes, Aurélien; Shiogama, Hideo; Stone, Dáithí; Tebaldi, Claudia; Wolski, Piotr; Zhang, Wenxia; Arora, Vivek K.

doi:https://doi.org/10.5194/gmd-18-4399-2025

Articles | Volume 18, issue 14

https://doi.org/10.5194/gmd-18-4399-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

CMIP7 scientific objectives, experimental design, and...

https://doi.org/10.5194/gmd-18-4399-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 14

Model experiment description paper

|

22 Jul 2025

Model experiment description paper |

| 22 Jul 2025

The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7

Nathan P. Gillett, Isla R. Simpson, Gabi Hegerl, Reto Knutti, Dann Mitchell, Aurélien Ribes, Hideo Shiogama, Dáithí Stone, Claudia Tebaldi, Piotr Wolski, Wenxia Zhang, and Vivek K. Arora

Viewed

Total article views: 2,144 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,902	195	47	2,144	57	74

HTML: 1,902
PDF: 195
XML: 47
Total: 2,144
BibTeX: 57
EndNote: 74

Views and downloads (calculated since 07 Feb 2025)

Month	HTML	PDF	XML	Total
Feb 2025	168	22	4	194
Mar 2025	87	18	4	109
Apr 2025	133	23	5	161
May 2025	106	13	1	120
Jun 2025	89	20	4	113
Jul 2025	191	38	15	244
Aug 2025	453	53	10	516
Sep 2025	675	8	4	687

Cumulative views and downloads (calculated since 07 Feb 2025)

Month	HTML	PDF	XML	Total
Feb 2025	168	22	4	194
Mar 2025	87	18	4	109
Apr 2025	133	23	5	161
May 2025	106	13	1	120
Jun 2025	89	20	4	113
Jul 2025	191	38	15	244
Aug 2025	453	53	10	516
Sep 2025	675	8	4	687

Viewed (geographical distribution)

Total article views: 2,144 (including HTML, PDF, and XML) Thereof 2,082 with geography defined and 62 with unknown origin.

Country	#	Views	%

1

1

Cited

Discussed (preprint)

Latest update: 22 Sep 2025

Short summary

Climate model simulations of the response to human and natural influences together, natural climate influences alone and greenhouse gases alone are key to quantifying human influence on the climate. The last set of such coordinated simulations underpinned key findings in the last Intergovernmental Panel on Climate Change (IPCC) report. Here we propose a new set of such simulations to be used in the next generation of attribution studies and to underpin the next IPCC report.