Articles | Volume 13, issue 2
https://doi.org/10.5194/gmd-13-483-2020
© Author(s) 2020. 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-13-483-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
JULES-GL7: the Global Land configuration of the Joint UK Land Environment Simulator version 7.0 and 7.2
Andrew J. Wiltshire
CORRESPONDING AUTHOR
Met Office, Fitzroy Road, Exeter, UK
University of Exeter, Exeter, UK
Maria Carolina Duran Rojas
University of Exeter, Exeter, UK
John M. Edwards
Met Office, Fitzroy Road, Exeter, UK
Nicola Gedney
Met Office, Fitzroy Road, Exeter, UK
Anna B. Harper
University of Exeter, Exeter, UK
Andrew J. Hartley
Met Office, Fitzroy Road, Exeter, UK
Margaret A. Hendry
Met Office, Fitzroy Road, Exeter, UK
Eddy Robertson
Met Office, Fitzroy Road, Exeter, UK
Kerry Smout-Day
Met Office, Fitzroy Road, Exeter, UK
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Cited
21 citations as recorded by crossref.
- A Review of Machine Learning Applications in Land Surface Modeling S. Pal & P. Sharma 10.3390/earth2010011
- Methane removal and the proportional reductions in surface temperature and ozone S. Abernethy et al. 10.1098/rsta.2021.0104
- Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography) N. Smith et al. 10.5194/gmd-15-3603-2022
- The ozone–climate penalty over South America and Africa by 2100 F. Brown et al. 10.5194/acp-22-12331-2022
- Hydrometeorological response to afforestation in the UK: findings from a kilometer-scale climate model M. Buechel et al. 10.1088/1748-9326/ad4bf6
- Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. 10.5194/gmd-16-4249-2023
- High‐resolution global climate simulations: Representation of cities D. Hertwig et al. 10.1002/joc.7018
- JULES-CN: a coupled terrestrial carbon–nitrogen scheme (JULES vn5.1) A. Wiltshire et al. 10.5194/gmd-14-2161-2021
- Change from aerosol-driven to cloud-feedback-driven trend in short-wave radiative flux over the North Atlantic D. Grosvenor & K. Carslaw 10.5194/acp-23-6743-2023
- Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere D. Sergeev et al. 10.5194/gmd-16-5601-2023
- Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al. 10.5194/gmd-15-5567-2022
- Constraining the carbon cycle in JULES-ES-1.0 D. McNeall et al. 10.5194/gmd-17-1059-2024
- Non-flooded riparian Amazon trees are a regionally significant methane source V. Gauci et al. 10.1098/rsta.2020.0446
- Nocturnal plant respiration is under strong non-temperature control D. Bruhn et al. 10.1038/s41467-022-33370-1
- Scientific land greening under climate change: Theory, modeling, and challenges J. Chen et al. 10.1016/j.accre.2024.08.003
- A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. 10.5194/gmd-17-3993-2024
- Effects of hydraulic conductivity on simulating groundwater–land surface interactions over a typical endorheic river basin Z. Lu et al. 10.1016/j.jhydrol.2024.131542
- Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season D. Peano et al. 10.5194/bg-18-2405-2021
- A multi-data assessment of land use and land cover emissions from Brazil during 2000–2019 T. Rosan et al. 10.1088/1748-9326/ac08c3
- Contrasting contributions of surface hydrological pathways in convection permitting and parameterised climate simulations over Africa and their feedbacks on the atmosphere S. Folwell et al. 10.1007/s00382-022-06144-0
- Urban signals in high-resolution weather and climate simulations: role of urban land-surface characterisation D. Hertwig et al. 10.1007/s00704-020-03294-1
21 citations as recorded by crossref.
- A Review of Machine Learning Applications in Land Surface Modeling S. Pal & P. Sharma 10.3390/earth2010011
- Methane removal and the proportional reductions in surface temperature and ozone S. Abernethy et al. 10.1098/rsta.2021.0104
- Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography) N. Smith et al. 10.5194/gmd-15-3603-2022
- The ozone–climate penalty over South America and Africa by 2100 F. Brown et al. 10.5194/acp-22-12331-2022
- Hydrometeorological response to afforestation in the UK: findings from a kilometer-scale climate model M. Buechel et al. 10.1088/1748-9326/ad4bf6
- Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. 10.5194/gmd-16-4249-2023
- High‐resolution global climate simulations: Representation of cities D. Hertwig et al. 10.1002/joc.7018
- JULES-CN: a coupled terrestrial carbon–nitrogen scheme (JULES vn5.1) A. Wiltshire et al. 10.5194/gmd-14-2161-2021
- Change from aerosol-driven to cloud-feedback-driven trend in short-wave radiative flux over the North Atlantic D. Grosvenor & K. Carslaw 10.5194/acp-23-6743-2023
- Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere D. Sergeev et al. 10.5194/gmd-16-5601-2023
- Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al. 10.5194/gmd-15-5567-2022
- Constraining the carbon cycle in JULES-ES-1.0 D. McNeall et al. 10.5194/gmd-17-1059-2024
- Non-flooded riparian Amazon trees are a regionally significant methane source V. Gauci et al. 10.1098/rsta.2020.0446
- Nocturnal plant respiration is under strong non-temperature control D. Bruhn et al. 10.1038/s41467-022-33370-1
- Scientific land greening under climate change: Theory, modeling, and challenges J. Chen et al. 10.1016/j.accre.2024.08.003
- A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. 10.5194/gmd-17-3993-2024
- Effects of hydraulic conductivity on simulating groundwater–land surface interactions over a typical endorheic river basin Z. Lu et al. 10.1016/j.jhydrol.2024.131542
- Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season D. Peano et al. 10.5194/bg-18-2405-2021
- A multi-data assessment of land use and land cover emissions from Brazil during 2000–2019 T. Rosan et al. 10.1088/1748-9326/ac08c3
- Contrasting contributions of surface hydrological pathways in convection permitting and parameterised climate simulations over Africa and their feedbacks on the atmosphere S. Folwell et al. 10.1007/s00382-022-06144-0
- Urban signals in high-resolution weather and climate simulations: role of urban land-surface characterisation D. Hertwig et al. 10.1007/s00704-020-03294-1
Latest update: 25 Dec 2024
Short summary
We present the Global Land (GL) configuration of the Joint UK Land Environment Simulator (JULES). JULES-GL7 can be used to simulate the exchange of heat, water and momentum over land and is therefore applicable for helping understand past and future changes, and forms the land component of the HadGEM3-GC3.1 climate model. The configuration is freely available subject to licence restrictions.
We present the Global Land (GL) configuration of the Joint UK Land Environment Simulator...