Impact model: SWIM-NVE

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:

Water (regional)
Contact Person
  • Shaochun Huang (, The Norwegian Water Resources and Energy Directorate (NVE) (Norway)

Information for the model SWIM-NVE 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
Output Data
Experiments: historical (Rhine, Yellow, Mississippi)
Climate Drivers: WATCH (WFD)
Date: 2017-02-20
Spatial Aggregation: subbasins
Spatial Resolution: Hydrotopes within subbasins
Temporal Resolution Of Input Data: Climate Variables: daily
Input data sets used
Observed Atmospheric Climate Data Sets Used: WATCH (WFD)
Climate Variables: tasmax, tas, tasmin, rhs, pr
Additional Input Data Sets: DEM, Land use map, soil map, subbasin map, river network, discharge data
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
Management & Adaptation Measures
Management: Water management can be included if data are available
Extreme Events & Disturbances
Key Challenges: If the input data are of a good quality, SWIM is able to reproduce hydrological extreme events: floods and droughts.
Soil Layers: Up to 10 soil layers, 11 soil parameters
Runoff Routing: Muskingum method + reservoirs and irrigation
How Is Vegetation Represented?: A simplified EPIC approach
Potential Evapotranspiration: Priestley-Taylor or Turc-Ivanov
Snow Melt: An extended degree-day method