Uncertainty in River Discharge Estimation Based on Proxy SWOT Data: a Case Study Over India
Abstract
The futuristic Surface water and ocean topography (SWOT) mission, proposed to be launched in 2022 is expected to provide data of water surface elevation (WSE), water extent, and water surface slope of rivers wider than 50m. In preparation for the SWOT mission, this study evaluates the error in river discharge estimation based on proxy SWOT WSE data over the flood-prone Mahanadi River basin in India. At first, the in-situ gauge data of WSE and discharge from 13 gauging stations of the central water commission (CWC), a premier technical organization in the field of water resources under the Government of India, are used to generate a stage-discharge rating curve for each station with the coefficient of determination greater than 0.8. Further, the WSE from in-situ data is resampled based on the SWOT's spatio-temporal footprints generated using Centre National D'Etudes Spatiales (CNES) SWOT large-scale hydrological simulator. The expected uncertainty (<10cm for an area of 1 km2 and <21cm for an area of 250 m2) suggested by the SWOT science team in WSE is added to the actual resampled WSE to generate SWOT-type WSE data. Preliminary results are presented wherein proxy SWOT discharge is generated using proxy SWOT WSE data
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFMOS21C..03P