Impact model: WaterGAP2

ISIMIP Fast Track

Person responsible for model simulations in this simulation round

Petra Doell: p.doell@em.uni-frankfurt.de, 0000-0003-2238-4546, Universität Frankfurt (Germany)

Stephanie Eisner: Stephanie.Eisner@nibio.no, 0000-0002-0157-1636, Norwegian Institute of Bioeconomy Research (Norway)

Gabriel Fink: gabriel.fink@usf.uni-kassel.de, 0000-0002-0288-3033, Kassel University (Germany)

Martina Flörke: martina.floerke@hydrology.ruhr-uni-bochum.de, 0000-0003-2943-5289, Chair for Engineering Hydrology and Water Resources Management, Ruhr-University Bochum (Germany)

Felix Portmann: dr.felix.t.portmann@email.de, Universität Frankfurt (Germany)

Additional persons involved: Martina Flörke

Output Data

Experiments: historical, rcp26, rcp45, rcp60, rcp85
Climate Drivers: None
Date: 2013-12-17

Basic information

Model Version: WaterGAP 2.2

Model Homepage: http://watergap.de/

Model License: CC-BY-NC-4.0

Reference Paper: Main Reference: Portmann F, Döll P, Eisner S, Flörke M et al. Impact of climate change on renewable groundwater resources: assessing the benefits of avoided greenhouse gas emissions using selected CMIP5 climate projections. Environmental Research Letters,8,024023,2013

Reference Paper: Other References: Müller Schmied H, Eisner S, Franz D, Wattenbach M, Portmann F, Flörke M, Döll P et al. Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration. Hydrology and Earth System Sciences,18,3511-3538,2014

Resolution

Spatial Aggregation: regular grid

Spatial Resolution: 0.5°x0.5°

Temporal Resolution Of Input Data: Climate Variables: daily

Temporal Resolution Of Input Data: Soil: constant

Input data sets used

Simulated Atmospheric Climate Data Sets Used: GCM atmospheric climate data (Fast Track)

Other Data Sets Used: Reservoirs and dams, Land-sea mask, Drainage direction map for river routing, GRanD reservoirs & dams

Climate Variables: tas, rlds, rsds, pr

Spin-up

Was A Spin-Up Performed?: Yes

Spin-Up Design: initializing with starting simulations in 1951

Soil

Soil Layers: 1 layer with 0.1-4 m depth (depending on land use)

Water Use

Water-Use Types: surface water use, groundwater use

Water-Use Sectors: irrigation, domestic, manufacturing, electricity, livestock

Routing

Runoff Routing: Linear reservoir, variable flow velocity based on Manning-Strickler

Routing Data: DDM30

Land Use

Land-Use Change Effects: Only static land use map is used (see "landuse" variant in http://dx.doi.org/10.5194/hess-20-2877-2016).

Dams & Reservoirs

Dam And Reservoir Implementation: see http://dx.doi.org/10.5194/hess-20-2877-2016

Calibration

Was The Model Calibrated?: True

Which Years Were Used For Calibration?: variable, depending on data availability

Which Dataset Was Used For Calibration?: WFD

How Many Catchments Were Callibrated?: 1312

Vegetation

How Is Vegetation Represented?: A very simplified LAI development model for canopy evaporation is included (see appendix of Müller Schmied et al., 2014, HESS)

Methods

Potential Evapotranspiration: Priestley-Taylor with varying alpha factor depending on aridity

Snow Melt: degree day method