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  3. Impact model: JULES-ES-VN6P3

Impact model: JULES-ES-VN6P3

Sector
Water (global)
Region
global

JULES model Earth System configuration based on the land-surface of UKESM1. JULES at vn6.3 and includes TRIP rivers, landuse, dynamic vegetation (TRIFFID - on a daily timestep) and the nitrogen cycle.

Information for the model JULES-ES-VN6P3 is provided for the simulation rounds shown in the tabs below. Click on the appropriate tab to get the information for the simulation round you are interested in.

Person responsible for model simulations in this simulation round
Anna Bradley: anna.bradley@metoffice.gov.uk, 0009-0007-2942-085X, UK Met Office (UK)
Nicola Gedney: nicola.gedney@metoffice.gov.uk, 0000-0002-2165-5239, UK Met Office (UK)
Additional persons involved: Eleanor Burke (eleanor.burke@metoffice.gov.uk)
Output Data
Experiments: ssp370_2015soc-from-histsoc_default, ssp126_2015soc-from-histsoc_default, historical_histsoc_default, ssp585_2015soc-from-histsoc_default
Climate Drivers: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL
Date: 2024-06-17
Basic information
Model Version: 6.3
Model Homepage: https://code.metoffice.gov.uk/trac/jules
Model License: JULES is available to anyone for non-commercial use, free of charge. Note the JULES licence conditions, the JULES Fair Use and Publication Policy and the MOSRS user terms and conditions.
Reference Paper: Main Reference: Mathison, C., Burke, E., Hartley, A. J., Kelley, D. I., Burton, C., Robertson, E., Gedney, N., Williams, K., Wiltshire, A., Ellis, R. J., Sellar, A. A., and Jones, C. D. et al. Description and evaluation of the JULES-ES set-up for ISIMIP2b. Geoscientific Model Development,16,4249-4264,2023
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Vertically resolved: Yes
Number of vertical layers: Soil layers - 4 (0.1, 0.25, 0.65, 2.0m)
Temporal resolution of input data: climate variables: daily
Temporal resolution of input data: co2: annual
Temporal resolution of input data: land use/land cover: annual
Temporal resolution of input data: soil: constant
Input data
Simulated atmospheric climate data sets used: MRI-ESM2-0, IPSL-CM6A-LR, MPI-ESM1-2-HR, UKESM1-0-LL, GFDL-ESM4
Emissions data sets used: Atmospheric composition (ISIMIP3b)
Other human influences data sets used: Nitrogen deposition (ISIMIP3), Historical, gridded land use
Climate variables: huss, sfcWind, tasmax, tas, tasmin, rlds, rsds, prsn, ps, pr
Additional information about input variables: The rainfall was calculated from the difference between the total precipitation and snowfall
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Length of spin up - 1850-1856 (repeating climate (number of times is unknown) until vegetation and soil carbon is stable) CO2 concentration - 1850-1856
Natural Vegetation
Natural vegetation partition: Plant functional types - 9 natural PFTs (tropical broadleaf evergreen trees (BET-Tr), temperate broadleaf evergreen trees (BET-Te), broadleaf deciduous trees (BDT), needleleaf evergreen trees (NET), needleleaf deciduous trees (NDT), C3 grasses (C3G), C4 grasses (C4G), evergreen shrubs (ESh) and deciduous shrubs (DSh)) and 4 managed PFTs (C3 and C4 crop and pasture (C3Cr, C4Cr, C3Pa and C4Pa)).
Natural vegetation dynamics: Height-based competition
Natural vegetation cover dataset: Not prescribed
Soil layers: Soil layers - 4 (thickness = 0.1, 0.25, 0.65, 2.0m)
Management & Adaptation Measures
Management: Land-use (crop and pasture prescribed for 2015)
Soil
Soil layers: Soil layers - 4 (thickness = 0.1, 0.25, 0.65, 2.0m)
Routing
Routing data: JULES implementation of the TRIP model (see Oki et al. 1999)
Land Use
Land-use change effects: ISIMIP crop and pasture fractions applied (stationary at 2015)
Dams & Reservoirs
Dam and reservoir implementation: none
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: Yes
How is vegetation represented?: Fractional cover and canopy height of PFTs are simulated by the TRIFFID vegetation with 13 PFTs (Harper et al 2018). Transpiration is calculated based on vegetation properties, stomatal conductance, environmental conditions and soil moisture.
Methods
Potential evapotranspiration: This is not a prognostic, rather a diagnostic.
Snow melt: Multiple snow layers. Fractional snow-cover in the calculation of sublimation and melting.
Person responsible for model simulations in this simulation round
Anna Bradley: anna.bradley@metoffice.gov.uk, 0009-0007-2942-085X, UK Met Office (UK)
Nicola Gedney: nicola.gedney@metoffice.gov.uk, 0000-0002-2165-5239, UK Met Office (UK)
Additional persons involved: Eleanor Burke (eleanor.burke@metoffice.gov.uk)
Output Data
Experiments: counterclim_histsoc_default, obsclim_histsoc_default
Climate Drivers: 20CRV3, 20CRV3-ERA5, 20CRV3-W5E5, GSWP3-W5E5
Date: 2023-07-31
Basic information
Model Version: 6.3
Model Homepage: https://code.metoffice.gov.uk/trac/jules
Model License: JULES is available to anyone for non-commercial use, free of charge. Note the JULES licence conditions, the JULES Fair Use and Publication Policy and the MOSRS user terms and conditions.
Reference Paper: Main Reference: Mathison, C., Burke, E., Hartley, A. J., Kelley, D. I., Burton, C., Robertson, E., Gedney, N., Williams, K., Wiltshire, A., Ellis, R. J., Sellar, A. A., and Jones, C. D. et al. Description and evaluation of the JULES-ES set-up for ISIMIP2b. Geoscientific Model Development,16,4249-4264,2023
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Vertically resolved: Yes
Number of vertical layers: Soil layers - 4 (0.1, 0.25, 0.65, 2.0m)
Temporal resolution of input data: climate variables: daily
Temporal resolution of input data: co2: annual
Temporal resolution of input data: land use/land cover: annual
Temporal resolution of input data: soil: constant
Input data
Observed atmospheric climate data sets used: GSWP3-W5E5 (ISIMIP3a), 20CRv3, 20CRv3-ERA5, 20CRv3-W5E5
Emissions data sets used: Atmospheric composition (ISIMIP3a)
Other data sets used: Land-sea mask, Drainage direction map for river routing
Additional input data sets: Soil properties - HWSD
Climate variables: huss, sfcWind, tasmax, tas, tasmin, rlds, rsds, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Length of spin up - 1801-1807 (repeating climate (number of times is unknown) until vegetation and soil carbon is stable) CO2 concentration - 1801-1807
Natural Vegetation
Natural vegetation partition: Plant functional types - 9 natural PFTs (tropical broadleaf evergreen trees (BET-Tr), temperate broadleaf evergreen trees (BET-Te), broadleaf deciduous trees (BDT), needleleaf evergreen trees (NET), needleleaf deciduous trees (NDT), C3 grasses (C3G), C4 grasses (C4G), evergreen shrubs (ESh) and deciduous shrubs (DSh)) and 4 managed PFTs (C3 and C4 crop and pasture (C3Cr, C4Cr, C3Pa and C4Pa)).
Natural vegetation dynamics: Height-based competition
Natural vegetation cover dataset: Not prescribed
Soil layers: Soil layers - 4 (thickness = 0.1, 0.25, 0.65, 2.0m)
Management & Adaptation Measures
Management: Land-use (crop and pasture prescribed)
Soil
Soil layers: 4 layers (+ 1 deep groundwater layer). soil layer thicknesses: 0.1,0.25,0.65,2.0m soil properties based on sand-silt-cray fractions using Brooks-Corey
Routing
Runoff routing: JULES implementation of the TRIP model (see Oki et al. 1999)
Land Use
Land-use change effects: ISIMIP crop and pasture fractions applied
Dams & Reservoirs
Dam and reservoir implementation: none
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: Yes
How is vegetation represented?: Fractional cover and canopy height of PFTs are simulated by the TRIFFID vegetation with 13 PFTs (Harper et al 2018). Transpiration is calculated based on vegetation properties, stomatal conductance, environmental conditions and soil moisture.
Methods
Potential evapotranspiration: This is not a prognostic, rather a diagnostic.
Snow melt: Multiple snow layers. Fractional snow-cover in the calculation of sublimation and melting




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