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

Download data Supporting docs Cite this dataset

PLEASE NOTE:

By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

This dataset is available under the terms of the Open Government Licence

Download the data

Bulk download options

You can use WGET to download data. For example
wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://catalogue.ceh.ac.uk/datastore/eidchub/9fc7ab01-c622-46f1-a904-0bcd54073da3

Further information and help »

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

1 citation

91 downloads *

1,286 views *

More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area

Spatial representation type

Tabular (text)

Spatial reference system

WGS 84

Temporal information

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.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:

Horan, R.; Rickards, N.; Kaelin, A.; Thomas, T.; Houghton-Carr, H.A. (2021). Simulated streamflow, demands and aquifer levels in the Narmada Basin, India, 1970-2099 using the Global Water Availability Assessment Model (GWAVA). NERC Environmental Information Data Centre. https://doi.org/10.5285/9fc7ab01-c622-46f1-a904-0bcd54073da3

BibTeX RIS

This dataset is included in the following collections

NERC National Capability SUNRISE Project datasets

Citations

Horan, R., Rickards, N.J., Kaelin, A., Baron, H.E., Thomas, T., Keller, V.D.J., Mishra, P.K., Nema, M.K., Muddu, S., Garg, K.K., Pathak, R., Houghton-Carr, H.A., Dixon, H., Jain, S.K., & Rees, G. (2021). Extending a Large-Scale Model to Better Represent Water Resources without Increasing the Model’s Complexity. In Water (Vol. 13, Issue 21, p. 3067). MDPI AG. https://doi.org/10.3390/w13213067