Evaluating SWOT water level information using a large scale hydrology simulator: A case study over India

An important goal of the Surface Water and Ocean Topography (SWOT) mission is to provide river width, height, slope estimate global discharges. To appraise feasibility SWOT data over India, present study utilizes simulator from Centre National D’Etudes Spatiales (CNES) generate a long time-series (three years) observations Mahanadi River basin in India. Two independent sources geometry are used this study, namely satellite-based hydrodynamic model-based estimates. Satellite-based derived using web-based User Interface (UI) developed in-house time series accurate width shapefiles Sentinel-1 satellite imagery. compare these results, 1D unsteady flow analysis carried out simulate channel water depth inundation extent Hydrologic Engineering Center's Analysis System (HEC-RAS) model. The simulated assess potential error measurements. Results indicate good spatial correlation between surface area Sentinel HEC-RAS models with 0.74. shows bias 20 cm compared gauge observations. This conducted as proof concept demonstrating ability capturing elevation respect conventional It also implements new tool google earth engine (GEE) input simulator.