EGU24-9046, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-9046
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

PRIME: Probabilistic Regional Impacts from Model patterns and Emissions 

Camilla Mathison1, Eleanor Burke1, Gregory Munday1, Eszter Kovacs2, Chris Huntingford3, Chris Jones1, Christopher Smith1, Andy Wiltshire1, Norman Steinert4, Laila Gohar1, and Rebecca Varney5
Camilla Mathison et al.
  • 1Met Office Hadley Centre, UK
  • 2University of Leeds, UK
  • 3Center of Ecology and Hydrology, Wallingford, UK
  • 4Cicero, Oslo
  • 5University of Exeter, UK

We present PRIME, a framework for analysis of scenarios of regional impacts for user-prescribed future emissions. PRIME combines global mean temperature and CO2 concentrations from the emissions driven FaIR simple climate model, as used in the IPCC Sixth Assessment Report, with patterns of climate change from CMIP6 Earth System models to drive the JULES land model. This simulation system projects regional changes to the land surface and carbon cycle. We evaluate PRIME by running it with Shared Socioeconomic Pathways and illustrate its robustness by comparing these known scenarios with ESMs that have also been run for the same scenarios. PRIME correctly represents the climate response for these known scenarios, which gives us confidence that PRIME will be useful for rapidly providing probabilistic spatially resolved information for novel climate scenarios; substantially reducing the time between the scenarios being released and being used in impact assessments. Therefore PRIME fulfills an important need, providing the capability to include the most recent models, science and scenarios to run ensemble simulations on multi-centennial timescales and include analysis of many variables that are relevant and important for impact assessments.

How to cite: Mathison, C., Burke, E., Munday, G., Kovacs, E., Huntingford, C., Jones, C., Smith, C., Wiltshire, A., Steinert, N., Gohar, L., and Varney, R.: PRIME: Probabilistic Regional Impacts from Model patterns and Emissions , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-9046, https://doi.org/10.5194/egusphere-egu24-9046, 2024.