Discharge Estimation via Assimilation of Multisatellite-Based Discharge Products: Case Study Over the Amazon Basin

River flows are an essential component of the water cycle and directly accessible for human consumption activities. flux (i.e., river discharge) not only can be measured locally at in situ gauges but also estimated larger scales with routing models. However, number is declining worldwide while emerging river-related products from satellites becoming more available. Especially, discharge based on satellite altimetry elevations emerging. These missions provide different spatial temporal coverages may same amount information. In this study, two (ENVISAT JASON-2) were assimilated into large-scale hydrologic model Intéractions Sol-Biosphére-Atmosphére-CNRM’s Total Runoff Integrating Pathways (ISBA-CTRIP) using ensemble Kalman filter, to correct simulated discharge. This work investigates whether it better assimilate a dense coverage lower sampling (ENVISAT) or opposite (JASON-2). Three experiments have been performed: first each product separately, last one combined product. The open-loop normalized root-mean-square error evaluated against (RMSEn) 69%. RMSEn decreased all experiments. Specifically, slightly when assimilating ENVISAT-based (51%) than JASON-2 (53%) as denser. best results obtained both (RMSEn=49%). very encouraging could improved future Surface Water Ocean Topography (SWOT) wide swath mission will