Impact model: JULES-W1 (formerly JULES_TUC)

JULES-W1 (formerly JULES_TUC) is one of the 13 global hydrology models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a global water sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Water (global) Sector, see this DOI link: http://doi.org/10.5880/PIK.2017.010

Sector
Water (global)
Region
global
Contact Person
  • Aristeidis Koutroulis (aris@hydromech.gr), Technical University of Crete, Greece (Greece)

Information for the model JULES-W1 (formerly JULES_TUC) 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.

Basic information
Model Version: version 4.7
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 Discussions,4,595-640,2011
Person Responsible For Model Simulations In This Simulation Round: Manolis G. Grillakis
Output Data
Experiments: I, II, III
Climate Drivers: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Date: 2017-12-07
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Co2: annual
Temporal Resolution Of Input Data: Soil: constant
Input data sets used
Simulated Atmospheric Climate Data Sets Used: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Observed Atmospheric Climate Data Sets Used: EWEMBI
Emissions Data Sets Used: CO2 concentration
Climate Variables: tasmax, tas, tasmin, rlds, sfcWind, rhs, rsds, ps, pr
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: 10 spinup cycles (1661-1663)
Natural Vegetation
Natural Vegetation Partition: static vegetation (5 types)
Management & Adaptation Measures
Management: No
Technological Progress
Technological Progress: No
Soil
Soil Layers: 4 soil layers
Vegetation
How Is Vegetation Represented?: Fixed plant characteristics
Methods
Potential Evapotranspiration: Penman-Montheith
Snow Melt: Energy Balance
Basic information
Model Version: version 4.3
Output Data
Experiments: historical
Climate Drivers: GSWP3, PGMFD v.2 (Princeton), WATCH+WFDEI
Date: 2016-05-11
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Co2: annual
Temporal Resolution Of Input Data: Land Use/Land Cover: constant
Temporal Resolution Of Input Data: Soil: constant
Input data sets used
Observed Atmospheric Climate Data Sets Used: GSWP3, PGMFD v.2 (Princeton), WATCH+WFDEI
Climate Variables: tasmax, tas, tasmin, rlds, wind, rhs, rsds, ps, pr
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: 10 spinup cycles (1969-1970), plus year 1970
Natural Vegetation
Natural Vegetation Partition: static vegetation (5 types)
Management & Adaptation Measures
Management: No
Technological Progress
Technological Progress: No
Soil
Soil Layers: 4 soil layers
Routing
Runoff Routing: No routing
Dams & Reservoirs
Dam And Reservoir Implementation: Νο
Vegetation
How Is Vegetation Represented?: Fixed plant characteristics
Methods
Potential Evapotranspiration: Penman-Montheith
Snow Melt: Energy Balance