Articles | Volume 18, issue 5
https://doi.org/10.5194/gmd-18-1785-2025
https://doi.org/10.5194/gmd-18-1785-2025
Model description paper
 | 
14 Mar 2025
Model description paper |  | 14 Mar 2025

A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME)

Camilla Mathison, Eleanor J. Burke, Gregory Munday, Chris D. Jones, Chris J. Smith, Norman J. Steinert, Andy J. Wiltshire, Chris Huntingford, Eszter Kovacs, Laila K. Gohar, Rebecca M. Varney, and Douglas McNeall

Viewed

Total article views: 1,087 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
703 349 35 1,087 80 31 31
  • HTML: 703
  • PDF: 349
  • XML: 35
  • Total: 1,087
  • Supplement: 80
  • BibTeX: 31
  • EndNote: 31
Views and downloads (calculated since 26 Feb 2024)
Cumulative views and downloads (calculated since 26 Feb 2024)

Viewed (geographical distribution)

Total article views: 1,087 (including HTML, PDF, and XML) Thereof 1,080 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Mar 2025
Download
Short summary
We present PRIME (Probabilistic Regional Impacts from Model patterns and Emissions), which is designed to take new emissions scenarios and rapidly provide regional impact information. PRIME allows large ensembles to be run on multi-centennial timescales, including the analysis of many important variables for impact assessments. Our evaluation shows that PRIME reproduces the climate response for known scenarios, providing confidence in using PRIME for novel scenarios.
Share