Articles | Volume 16, issue 14
https://doi.org/10.5194/gmd-16-4249-2023
© Author(s) 2023. 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-16-4249-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
27 Jul 2023
Model experiment description paper |
| 27 Jul 2023
| 27 Jul 2023
Description and evaluation of the JULES-ES set-up for ISIMIP2b
Camilla Mathison
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
School of Earth and Environment, Institute for Climate and
Atmospheric Science, University of Leeds, Leeds, UK
Eleanor Burke
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
Andrew J. Hartley
CORRESPONDING AUTHOR
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
Douglas I. Kelley
UK Centre for Ecology and Hydrology, Wallingford, Oxfordshire OX10
8BB, UK
Chantelle Burton
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
Eddy Robertson
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
Nicola Gedney
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
Karina Williams
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
Global Systems Institute, University of Exeter, Laver Building, North Park Road, Exeter, UK
Andy Wiltshire
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
Global Systems Institute, University of Exeter, Laver Building, North Park Road, Exeter, UK
Richard J. Ellis
UK Centre for Ecology and Hydrology, Wallingford, Oxfordshire OX10
8BB, UK
Alistair A. Sellar
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
Chris D. Jones
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
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Cited
8 citations as recorded by crossref.
- The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al. 10.5194/gmd-17-8817-2024
- Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al. 10.1002/ppp.2269
- Risks of unavoidable impacts on forests at 1.5 °C with and without overshoot G. Munday et al. 10.1038/s41558-025-02327-9
- Fire weakens land carbon sinks before 1.5 °C C. Burton et al. 10.1038/s41561-024-01554-7
- State of Wildfires 2023–2024 M. Jones et al. 10.5194/essd-16-3601-2024
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al. 10.5194/gmd-18-1785-2025
- Large Variability in Simulated Response of Vegetation Composition and Carbon Dynamics to Variations in Drought‐Heat Occurrence E. Tschumi et al. 10.1029/2022JG007332
7 citations as recorded by crossref.
- The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al. 10.5194/gmd-17-8817-2024
- Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al. 10.1002/ppp.2269
- Risks of unavoidable impacts on forests at 1.5 °C with and without overshoot G. Munday et al. 10.1038/s41558-025-02327-9
- Fire weakens land carbon sinks before 1.5 °C C. Burton et al. 10.1038/s41561-024-01554-7
- State of Wildfires 2023–2024 M. Jones et al. 10.5194/essd-16-3601-2024
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al. 10.5194/gmd-18-1785-2025
Latest update: 29 May 2025
Short summary
This paper describes and evaluates a new modelling methodology to quantify the impacts of climate change on water, biomes and the carbon cycle. We have created a new configuration and set-up for the JULES-ES land surface model, driven by bias-corrected historical and future climate model output provided by the Inter-Sectoral Impacts Model Intercomparison Project (ISIMIP). This allows us to compare projections of the impacts of climate change across multiple impact models and multiple sectors.
This paper describes and evaluates a new modelling methodology to quantify the impacts of...
