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Assimilation of SWOT Altimetry Data for Riverine Flood Reanalysis: From Synthetic to Real Data
Quentin Bonassies, Thanh Huy Nguyen, Ludovic Cassan +6
Floods are one of the most common and devastating natural disasters worldwide. The contribution of remote sensing is important for reducing the impact of flooding both during the e…
Assimilation of SWOT Altimetry and Sentinel-1 Flood Extent Observations for Flood Reanalysis -- A Proof-of-Concept
Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini +3
In spite of astonishing advances and developments in remote sensing technologies, meeting the spatio-temporal requirements for flood hydrodynamic modeling remains a great challenge…
Reducing Uncertainties of a Chained Hydrologic-hydraulic Model to Improve Flood Forecasting Using Multi-source Earth Observation Data
Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini +5
The challenges in operational flood forecasting lie in producing reliable forecasts given constrained computational resources and within processing times that are compatible with n…
Dealing With Non-Gaussianity of SAR-derived Wet Surface Ratio for Flood Extent Representation Improvement
Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini +3
Owing to advances in data assimilation, notably Ensemble Kalman Filter (EnKF), flood simulation and forecast capabilities have greatly improved in recent years. The motivation of t…
Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations
Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini +3
Flood simulation and forecast capability have been greatly improved thanks to advances in data assimilation (DA) strategies incorporating various types of observations; many are de…