8 citations · 17 across the 6 of their papers we have counts for
7 papers
Modelling wide-swath altimeter observation-error correlations with a regularised diffusion operator
Olivier Goux, Anthony Weaver, Andrea Piacentini
Unaccounted-for observation-error correlations have long been known to be detrimental to the quality of atmospheric and ocean analyses produced by data assimilation (DA) systems. W…
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…
On the impact of observation error correlations in data assimilation, with application to along-track altimeter data
Olivier Goux, Anthony Weaver, Selime Gürol +2
Data assimilation involves estimating the state of a system by combining observations from various sources with a background estimate of the state. The weights given to the observa…
Remote Sensing Data Assimilation with a Chained Hydrologic-hydraulic Model for Flood Forecasting
Thanh Huy Nguyen, Andrea Piacentini, Sophie Ricci +4
A chained hydrologic-hydraulic model is implemented using predicted runoff from a large-scale hydrologic model (namely ISBA-CTRIP) as inputs to local hydrodynamic models (TELEMAC-2…
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…