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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- Tree-ring records reveal intensified early-summer hot–dry coupling in the Northeastern Tibetan Plateau W. Nie et al. https://doi.org/10.1016/j.gloplacha.2026.105477
- Northern high latitudes could become a net carbon source below 2 °C global warming R. Varney et al. https://doi.org/10.5194/esd-17-913-2026
- Assessing the impact of the Human Development Index on historical trends in the INFERNO fire model J. Teixeira et al. https://doi.org/10.5194/esd-17-739-2026
- Estimating future wildfire burnt area over Greece using the JULES-INFERNO model A. Rovithakis et al. https://doi.org/10.5194/nhess-25-3185-2025
- Including prescribed burning in fire modelling: A case study from the Brazilian Cerrado using the JULES-INFERNO model R. da Veiga et al. https://doi.org/10.1016/j.pyro.2026.100006
- Understanding drivers and biases of simulated CO emissions from the INFERNO fire model over South America M. Velásquez-García et al. https://doi.org/10.5194/bg-23-1341-2026
- A new remote sensing-derived high resolution eco-physiological land use land cover (HR Eco-P LULC) product in support of regional climate modeling over the Indian landscape K. Gupta et al. https://doi.org/10.1016/j.rsase.2026.101988
- Specifying organic fertilizer composition in process-based models: overview of available data and sensitivity analysis with Biome-BGCMuSo K. Pokovai et al. https://doi.org/10.15201/hungeobull.75.1.3
- Rainfall Extremes Analysis in Arid Regions Under Climate Change: A Structured Review of Methods and Approaches A. Abdelkhalek et al. https://doi.org/10.3390/cli14050100
- Permafrost carbon release scales linearly with overshoot warming mediated by AMOC tipping N. Steinert et al. https://doi.org/10.1038/s41467-026-73612-0
- Fire weakens land carbon sinks before 1.5 °C C. Burton et al. https://doi.org/10.1038/s41561-024-01554-7
- State of Wildfires 2023–2024 M. Jones et al. https://doi.org/10.5194/essd-16-3601-2024
- Future global water scarcity partially moderated by vegetation responses to rising CO2 J. Stacey et al. https://doi.org/10.5194/hess-30-4225-2026
- ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model Y. Liu et al. https://doi.org/10.5194/gmd-18-4103-2025
- A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al. https://doi.org/10.5194/gmd-18-1785-2025
- State of Wildfires 2024–2025 D. Kelley et al. https://doi.org/10.5194/essd-17-5377-2025
- FLAME 1.0: a novel approach for modelling burned area in the Brazilian biomes using the maximum entropy concept M. Barbosa et al. https://doi.org/10.5194/gmd-18-3533-2025
Saved (final revised paper)
Latest update: 25 Jul 2026
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...
