Bonassies et al. (2026) Assimilation of SWOT Altimetry Data for Riverine Flood Reanalysis: From Synthetic to Real Data

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Q. Bonassies, Thanh Huy Nguyen, Ludovic Cassan, Andrea Piacentini, Sophie Ricci, Charlotte Emery, Christophe Fatras, Santiago Peña Luque, R. Rodriguez Suquet
• DOI: 10.1109/jstars.2026.3659808

Research Groups

Not available in the provided text.

Short Summary

This paper investigates the assimilation of SWOT altimetry data, transitioning from synthetic to real observations, to improve riverine flood reanalysis.

Objective

• To explore and evaluate the assimilation of SWOT altimetry data for enhancing riverine flood reanalysis, using both synthetic and real datasets.

Study Configuration

• Spatial Scale: Riverine systems (rivers and associated floodplains).
• Temporal Scale: Reanalysis (implies historical periods, specific duration not specified).

Methodology and Data

• Models used: Not explicitly stated, but likely involves a hydrological or hydraulic model for flood reanalysis, coupled with an assimilation scheme.
• Data sources: SWOT (Surface Water and Ocean Topography) altimetry data (both synthetic and real observations).

Main Results

Not available in the provided text.

Contributions

Not available in the provided text.

Funding

Not available in the provided text.

Citation

@article{Bonassies2026Assimilation,
  author = {Bonassies, Q. and Nguyen, Thanh Huy and Cassan, Ludovic and Piacentini, Andrea and Ricci, Sophie and Emery, Charlotte and Fatras, Christophe and Luque, Santiago Peña and Suquet, R. Rodriguez},
  title = {Assimilation of SWOT Altimetry Data for Riverine Flood Reanalysis: From Synthetic to Real Data},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3659808},
  url = {https://doi.org/10.1109/jstars.2026.3659808}
}