Impact model: JULES-ES-VN6P3

ISIMIP3b
ISIMIP3a

Person responsible for model simulations in this simulation round

Anna Bradley: anna.bradley@metoffice.gov.uk, UK Met Office (UK)

Nicola Gedney: nicola.gedney@metoffice.gov.uk, UK Met Office (UK)

Additional persons involved: Eleanor Burke (eleanor.burke@metoffice.gov.uk)

Basic information

Model Version: 6.3

Person responsible for model simulations in this simulation round

Anna Bradley: anna.bradley@metoffice.gov.uk, UK Met Office (UK)

Nicola Gedney: nicola.gedney@metoffice.gov.uk, 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.

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)

Land use data sets used: Historical, gridded land use

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