1. Homepage
  2. Impact Model Settings & Characteristics
  3. Impact model: JULES-W2

Impact model: JULES-W2

Sector
Water (global)
Region
global

JULES-W2 (formerly JULES_W1) is one of the global models following the ISIMIP3 protocol contributing with simulations for the ISIMIP3 global water sector. JULES-W2 is the JULESvn6.2 of the community land surface model developed by a wide community of UK researchers, coordinated by UKMO and CEH. https://jules.jchmr.org/

Information for the model JULES-W2 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
Emmanouil Grillakis: egrillakis@tuc.gr, 0000-0002-4228-1803, Technical University of Crete (Greece)
Aristeidis Koutroulis: akoutroulis@tuc.gr, 0000-0002-2999-7575, Technical University of Crete (Greece)
Additional persons involved: Konstantinos Seiradakis and Athanasios Tsilimigkras
Output Data
Experiments: ssp585_2015soc-from-histsoc_2015co2, ssp585_2015soc-from-histsoc_default, picontrol_2015soc-from-histsoc_default, historical_histsoc_default, ssp126_2015soc_default, ssp370_2015soc_default, picontrol_1850soc_default, ssp585_2015soc_default, historical_2015soc_default, picontrol_histsoc_default, ssp370_2015soc-from-histsoc_default, ssp126_2015soc-from-histsoc_default, ssp585_2015soc_2015co2, picontrol_2015soc_default
Climate Drivers: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL
Date: 2023-09-06
Basic information
Model Version: JULESvn6.2
Model Output License: CC0
Model Homepage: https://jules.jchmr.org/
Reference Paper: Main Reference: Best M, Pryor M, Clark D, Rooney G, Essery R, Ménard C, Edwards J, Hendry M, Porson A, Gedney N, Mercado L, Sitch S, Blyth E, Boucher O, Cox P, Grimmond C, Harding R et al. The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes. Geoscientific Model Development,4,677-699,2011
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Vertically resolved: No
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
Additional temporal resolution information: A limitation of the model is that it cannot generate output for the final timestep of the simulation. To address this and avoid an empty final timestep, the second-to-last timestep was duplicated and used as the last timestep.
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 data sets used: Drainage direction map for river routing
Climate variables: huss, sfcWind, tasmax, tas, tasmin, rlds, rsds, ps, pr
Exceptions to Protocol
Exceptions: Using DDM30 is not prescibed by the protocol but river discharge is calculated with the built-in TRIP model, in which flow is routed with the “native JULES” river topography which is different to the DDM30. Simulations with DDM30 river flow directions are being presented under the JULES-W2-DDM30 model name.
Spin-up
Was a spin-up performed?: Yes
Spin-up design: According to the 3b protocol.
Natural Vegetation
Natural vegetation cover dataset: time varying vegetation (13 types) for historical period
Soil layers: 4 layers with thickness 0.1m; 0.25m; 0.65m; 2m
Management & Adaptation Measures
Management: Time varying land-use for historical period
Technological Progress
Technological progress: No
Soil
Soil layers: 4 layers with thickness 0.1m; 0.25m; 0.65m; 2m
Water Use
Water-use types: No water use
Water-use sectors: No water use
Routing
Runoff routing: River discharge is calculated with the built-in TRIP model, in which flow is routed with the “native JULES” river topography which is different to the DDM30.
Routing data: built-in TRIP model
Land Use
Land-use change effects: Time varying land use based on ISIMIP3b protocol for historical period
Dams & Reservoirs
Dam and reservoir implementation: No
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: Yes
How is vegetation represented?: Fixed plant characteristics
Methods
Potential evapotranspiration: Penman-Montheith
Snow melt: Energy Balance
Person responsible for model simulations in this simulation round
Emmanouil Grillakis: egrillakis@tuc.gr, 0000-0002-4228-1803, Technical University of Crete (Greece)
Aristeidis Koutroulis: akoutroulis@tuc.gr, 0000-0002-2999-7575, Technical University of Crete (Greece)
Additional persons involved: Kostas Seiradakis
Output Data
Experiments: obsclim_1901soc_1901co2, obsclim_2015soc_1901co2, obsclim_2015soc_default, counterclim_histsoc_default, obsclim_histsoc_1901co2, counterclim_1901soc_default, counterclim_2015soc_default, obsclim_1901soc_default, obsclim_histsoc_default
Climate Drivers: GSWP3-W5E5
Date: 2022-06-08
Basic information
Model Version: JULESvn6.2
Model Output License: CC0
Model Homepage: https://jules.jchmr.org/
Reference Paper: Main Reference: Best M, Pryor M, Clark D, Rooney G, Essery R, Ménard C, Edwards J, Hendry M, Porson A, Gedney N, Mercado L, Sitch S, Blyth E, Boucher O, Cox P, Grimmond C, Harding R et al. The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes. Geoscientific Model Development,4,677-699,2011
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5’ x 0.5’
Vertically resolved: No
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)
Land use data sets used: Historical, gridded land use
Climate variables: huss, tasmax, tas, tasmin, rlds, rsds, ps, pr
Exceptions to Protocol
Exceptions: Using DDM30 is not prescibed by the protocol but river discharge is calculated with the built-in TRIP model, in which flow is routed with the “native JULES” river topography which is different to the DDM30. Simulations with DDM30 river flow directions are being presented under the JULES-W2-DDM30 model name.
Spin-up
Was a spin-up performed?: Yes
Spin-up design: 10 spinup cycles (1850), plus spinclim (1850-1900) with historical CO2 concentration and varying DHF 10 spinup cycles (1850), plus spinclim (1850-1900) with historical CO2 concentration and 2015DHF 10 spinup cycles (1850), plus spinclim (1850-1900) with historical CO2 concentration and 1901DHF
Natural Vegetation
Natural vegetation cover dataset: time varying vegetation (13 types)
Soil layers: 4 layers with thickness 0.1m; 0.25m; 0.65m; 2m
Management & Adaptation Measures
Management: Time varying land-use
Technological Progress
Technological progress: No
Soil
Soil layers: 4 layers with thickness 0.1m; 0.25m; 0.65m; 2m
Water Use
Water-use types: No water use
Water-use sectors: No water use
Routing
Runoff routing: River discharge is calculated with the built-in TRIP model, in which flow is routed with the “native JULES” river topography which is different to the DDM30.
Routing data: built-in TRIP model
Land Use
Land-use change effects: Time varying land use based on ISIMIP3a protocol
Dams & Reservoirs
Dam and reservoir implementation: No
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: Yes
How is vegetation represented?: Fixed plant characteristics
Methods
Potential evapotranspiration: Penman-Montheith
Snow melt: Energy Balance




Website consultancy, design and implementation:
Matthias Brück
brueck.io

Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution 4.0 International license.