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Impact model: SWAT-IITGN

Sector
Water (regional)
Region
regional

The Soil and Water Assessment Tool (SWAT) is a watershed-scale hydrological model developed by the United States Department of Agriculture, Agriculture Research Service (USDA-ARS). The SWAT divides a watershed into sub-watersheds and hydrological response units (HRUs) using land use, soil, and topography information to simulate hydrological fluxes for each HRU at a daily time step. SWAT uses curve numbers to determine runoff while evapotranspiration is derived from the Penman–Monteith equation.

Information for the model SWAT-IITGN 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
Harsh L. Shah: harsh.lovekumar.shah@iitgn.ac.in, 0000-0002-0717-0729, Indian Institute of Technology Gandhinagar (India)
Additional persons involved: Harsh L. Shah
Output Data
Experiments: II, III, VIII
Climate Drivers: GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR and MIROC5 (historical and future)
Date: 2018-02-16
Basic information
Model Version: SWAT 2012
Model Output License: CC BY 4.0
Model Homepage: https://swat.tamu.edu/
Simulation Round Specific Description: The SWAT model is set up for Godavari (Mishra et al. 2020) and Yellow and Rhine (Huang et al. 2020) river basins. References: Mishra, V., Shah, H., López, M.R.R., Lobanova, A., Krysanova, V., 2020. Does comprehensive evaluation of hydrological models influence projected changes of mean and high flows in the Godavari River basin? Clim. Change. https://doi.org/10.1007/s10584-020-02847-7 Huang, S., Shah, H., Naz, B.S., Shrestha, N., Mishra, V., Daggupati, P., Ghimire, U., Vetter, T., 2020. Impacts of hydrological model calibration on projected hydrological changes under climate change—a multi-model assessment in three large river basins. Clim. Change. https://doi.org/10.1007/s10584-020-02872-6
Reference Paper: Main Reference: Arnold J, Srinivasan R, Muttiah R, Williams J et al. LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT. Journal of the American Water Resources Association,34,73-89,2007
Resolution
Spatial aggregation: subbasins
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: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Observed atmospheric climate data sets used: EWEMBI
Climate variables: tasmax, tasmin, pr
Spin-up
Was a spin-up performed?: Yes
Methods
Potential evapotranspiration: The SWAT uses Penman-Monteith method to estimate potential evapotranspiration.
Vegetation
Is co2 fertilisation accounted for?: No
How is vegetation represented?: Vegetation parameters were obtained from the Advanced Very High-Resolution Radiometer (AVHRR).
Routing
Runoff routing: SWAT model uses “Muskingum Routing Method” (MRM) and “Variable Storage Routing Method” (VSRM) for routing water from upstream of a reach to downstream.
Routing data: Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) was used to delineate the watershed.
Calibration
Was the model calibrated?: Yes
Which years were used for calibration?: Godavari calibration (1980–1989) and validation (1990–1999). Yellow river calibration (1970–1974 and 1986-1990) and validation (1971-2000). Rhine river calibration (1977–1981 and 1989–1993) and validation (1971–2000).
Which dataset was used for calibration?: Observed daily streamflow data and Satellite (MODIS and GLEAM) monthly actual evapotranspiration.
How many catchments were callibrated?: For Godavari basin - 4 gauge stations were calibrated. For Yellow basin - 3 gauge stations were calibrated. For Rhine basin - 5 gauge stations were calibrated.
Modelled catchments
Modelled catchments: Upper Godavari, The yellow river basin, Rhine river basin.
Attachments
653-Huang2020_Article_ImpactsOfHydrologicalModelCali.pdf (1.2 MB) Huang et al. (2020)
653-Mishra2020_Article_DoesComprehensiveEvaluationOfH.pdf (1.1 MB) Mishra et al. (2020)




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