Impact model: SWIM-PIK

SWIM is one of the 15 regional hydrology models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a regional water sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Water (regional) Sector, see this DOI link: http://doi.org/10.5880/PIK.2018.007

Sector
Water (regional)
Region
regional
Contact Person

Information for the model SWIM-PIK 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: The model version used for ISIMIP2b can be evaluated based on comparison of the ISIMIP2a runs with observed impacts
Model output license: CC BY 4.0
Model Homepage: https://gitlab.pik-potsdam.de/swim/swim
Output Data
Experiments: I, II, III
Climate Drivers: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Date: 2018-05-30
Resolution
Spatial Aggregation: polygons
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: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Observed Atmospheric Climate Data Sets Used: EWEMBI
Emissions Data Sets Used: CO2 concentration
Climate Variables: hurs, tasmax, tas, tasmin, rlds, pr
Spin-up
Was A Spin-Up Performed?: No
Natural Vegetation
Natural Vegetation Partition: Natural vegetation and crops are simulated using a simplified EPIC approach and the vegetation parameter database attached to the model (as in SWAT)
Methods
Potential Evapotranspiration: Priestley-Taylor or Turc-Ivanov
Snow Melt: An extended degree-day method
Routing
Runoff Routing: Muskingum method
Routing Data: Hydrological Response Units (HRUs), based on land use, soils, and sub-basins.
Calibration
Was The Model Calibrated?: True
Basic information
Model Version: The model version used for ISIMIP2b can be evaluated based on comparison of the ISIMIP2a runs with observed impacts
Model Homepage: https://gitlab.pik-potsdam.de/swim/swim
Output Data
Experiments: historical (Amazon, Blue Nile, Ganges, Lena, Niger, Tagus)
Climate Drivers: WATCH (WFD)
Date: 2015-10-23
Resolution
Spatial Aggregation: polygons
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
Observed Atmospheric Climate Data Sets Used: GSWP3-EWEMBI, WATCH (WFD), WATCH-WFDEI
Emissions Data Sets Used: CO2 concentration
Climate Variables: hurs, tasmax, tas, tasmin, rsds, prsn, pr
Spin-up
Was A Spin-Up Performed?: Yes
Methods
Potential Evapotranspiration: Priestley-Taylor or Turc-Ivanov
Routing
Runoff Routing: Muskingum method
Routing Data: Hydrological Response Units (HRUs), based on land use, soils, and sub-basins.
Calibration
Was The Model Calibrated?: True
Modelled catchments
Modelled catchments: - Godavari River Basin