Horan, R.; Rickards, N.; Kaelin, A.; Thomas, T.; Houghton-Carr, H.A.

Simulated streamflow, demands and aquifer levels in the Narmada Basin, India, 1970-2099 using the Global Water Availability Assessment Model (GWAVA)

https://doi.org/10.5285/9fc7ab01-c622-46f1-a904-0bcd54073da3 Cite this dataset

The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock and irrigation across the Narmada Basin, India. The data were generated using the Global Water Availability Assessment (GWAVA) Model 5.

For the Upper Narmada, a baseline of 1970-2013 is presented along with a future time slice of 2028- 2060. For the whole Narmada, a baseline of 1981-2013 and future period of 2021-2099 is included. The data were produced to help predict how climate and land use change in the region would impact on future water security.

The research was funded by NERC research grant NE/R000131/1

Publication date: 2021-06-21

Where/When

Study area
Temporal extent: 1970-01-01 to 2099-12-31

Provenance & quality

These data were generated using the Global Water Availability Assessment (GWAVA) Model 5.0. The Global Water Availability Assessment Tool (GWAVA) is a large-scale, semi-distributed gridded water resources model developed by the UK Centre for Ecology & Hydrology. The Narmada Basin was modelled at a spatial scale of 0.125 degree using GWAVA5.0. The Upper Narmada was disaggregated into 318 modelling cells and the whole Narmada into 653 cells. The basin included domestic, irrigation and livestock demands, large- scale water transfers, major reservoirs, minor reservoirs and agriculture within command and rural areas.

The model was calibrated at thirteen gauging stations across the basin against available observed streamflow using the SIMPLEX auto-calibration routine. This routine utilises four parameters (a surface and groundwater routing parameter, a Probability Distributed Model (PDM) parameter that describes spatial variation in soil moisture capacity and a multiplier to adjust rooting depths). The model was then validated across the same 13 gauging stations (over a different time period to the calibration) and 100 groundwater observational wells.