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Impact model: VIC-IITGN

Sector
Water (regional)
Region
regional

VIC 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

Information for the model VIC-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
Vimal Mishra: vmishra@iitgn.ac.in, 0000-0002-3046-6296, Indian Institute of Technology Gandhinagar (India)
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
Climate Drivers: None
Date: 2018-05-30
Basic information
Model Version: VIC.4.1.2.g
Model Output License: CC0
Model Homepage: https://vic.readthedocs.io/en/master/
Simulation Round Specific Description: * Data in embargo period: not yet publicly available, but currently only shared among the ISIMIP participants The Variable Infiltration Capacity model is set up for Godavari (Mishra et al. 2020) and Yellow (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: Xu Liang, Dennis P. Lettenmaier, Eric F. Wood, Stephen J. Burges et al. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. JOURNAL OF GEOPHYSICAL RESEARCH Atmosphere,99,14,415-14,428,1994
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 VIC uses Penman-Monteith method to estimate potential evapotranspiration.
Vegetation
Is co2 fertilisation accounted for?: No
Routing
Runoff routing: The VIC model solves water and energy fluxes, grid by grid at daily time steps. A separate routing model is used to simulate discharge at different gauge locations.
Routing data: Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) was used to prepare routing files (flow direction, flow fraction, flow mask and station files).
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)
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.
Modelled catchments
Modelled catchments: Upper Godavari Yellow river basin.
Attachments
512-Huang2020_Article_ImpactsOfHydrologicalModelCali.pdf (1.2 MB) Huang et al. (2020)
512-Mishra2020_Article_DoesComprehensiveEvaluationOfH.pdf (1.1 MB) Mishra et al. (2020)
Person responsible for model simulations in this simulation round
Vimal Mishra: vmishra@iitgn.ac.in, 0000-0002-3046-6296, Indian Institute of Technology Gandhinagar (India)
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: historical (Ganges)
Climate Drivers: None
Date: 2019-01-15
Basic information
Model Version: VIC.4.1.2.g
Model Output License: CC BY 4.0
Model Homepage: https://vic.readthedocs.io/en/master/
Simulation Round Specific Description: The Variable Infiltration Capacity model is set up for Godavari (Mishra et al. 2020) and Yellow (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: Xu Liang, Dennis P. Lettenmaier, Eric F. Wood, Stephen J. Burges et al. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. JOURNAL OF GEOPHYSICAL RESEARCH Atmosphere,99,14,415-14,428,1994
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
Observed atmospheric climate data sets used: WATCH-WFDEI
Emissions data sets used: Atmospheric CO2 concentration
Climate variables: tasmax, tasmin, pr
Spin-up
Was a spin-up performed?: Yes
Methods
Potential evapotranspiration: The VIC uses Penman-Monteith method to estimate potential evapotranspiration.
Vegetation
Is co2 fertilisation accounted for?: No
Routing
Runoff routing: The VIC model solves water and energy fluxes, grid by grid at daily time steps. A separate routing model is used to simulate discharge at different gauge locations.
Routing data: Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) was used to prepare routing files (flow direction, flow fraction, flow mask and station files).
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)
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.
Modelled catchments
Modelled catchments: Upper Godavari Yellow river basin.
Attachments
353-Huang2020_Article_ImpactsOfHydrologicalModelCali.pdf (1.2 MB) Huang et al. (2020)
353-Mishra2020_Article_DoesComprehensiveEvaluationOfH.pdf (1.1 MB) Mishra et al. (2020)




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