1. Homepage
  2. Impact Model Settings & Characteristics
  3. Impact model: WaterGAP2

Impact model: WaterGAP2

Sector
Water (global)
Region
global

WaterGAP2 is a global water availability and water use model. Some introducing information can be found here: https://en.wikipedia.org/wiki/WaterGAP and at www.watergap.de

For participating in ISIMIP FastTrack we have used WaterGAP 2.2 (described in 10.5194/hess-18-3511-2014).

WaterGAP22ISIMIP2a is a model version which is based on WaterGAP 2.2 (described in 10.5194/hess-18-3511-2014) but applied to the specifics of the simulation round ISIMIP2a.

WaterGAP22c is a model version (WaterGAP 2.2c, described in 10.5194/hess-20-2877-2016) used for phase ISIMIP2b. Currently, we are re-running ISIMIP2a with WaterGAP22c to allow consistent assesments.

For ISIMIP3, we will use WaterGAP22e (WaterGAP 2.2e) which is the successor of WaterGAP 2.2d (described in 10.5194/gmd-14-1037-2021).

Information for the model WaterGAP2 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
Hannes Müller Schmied: hannes.mueller.schmied@em.uni-frankfurt.de, 0000-0001-5330-9923, Institute of Physical Geography (IPG), Goethe-University Frankfurt; Senckenberg Leibniz Biodiversity and Climate Research Centre (SBiK-F) Frankfurt (Germany)
Additional persons involved: Petra Doell (p.doell@em.uni-frankfurt.de), Martina Flörke (martina.floerke@hydrology.ruhr-uni-bochum.de)
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:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Temporal resolution of input data: climate variables: daily
Temporal resolution of input data: soil: constant
Input data
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?: Yes
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
Is co2 fertilisation accounted for?: No
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




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.