380 citations
- Centre National de la Recherche ScientifiqueFR6 papers
- IMT AtlantiqueFR5 papers
- Laboratoire des Sciences et Techniques de l’Information de la Communication et de la ConnaissanceFR5 papers
- Centre Européen de Recherche et de Formation Avancée en Calcul ScientifiqueFR4 papers
- Centre National d'Études SpatialesFR4 papers
- Université de Bretagne OccidentaleFR4 papers
- IfremerFR3 papers
- Service Hydrographique et Océanographique de la MarineFR3 papers
- Climat, Environnement, Couplages et IncertitudesFR2 papers
- European Space AgencyFR1 paper
- European Space Research and Technology CentreNL1 paper
- European Space Research InstituteIT1 paper
17 papers
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…
Robust intensification of global ocean Eddy Kinetic Energy from three decades of satellite altimetry observations
Bàrbara Barceló-Llull, Pere Rosselló, Vincent Combes +3
Ocean mesoscale variability, a key component of the climate system, influences ocean circulation and heat, gas, carbon and nutrient distribution. Trends on Eddy Kinetic Energy (EKE…
Reduction of rain-induced errors for wind speed estimation on SAR observations using convolutional neural networks
Aurélien Colin, Pierre Tandeo, Charles Peureux +2
Synthetic Aperture Radar is known to be able to provide high-resolution estimates of surface wind speed. These estimates usually rely on a Geophysical Model Function (GMF) that has…
Rain regime segmentation of Sentinel-1 observation learning from NEXRAD collocations with Convolution Neural Networks
Aurélien Colin, Pierre Tandeo, Charles Peureux +3
Remote sensing of rainfall events is critical for both operational and scientific needs, including for example weather forecasting, extreme flood mitigation, water cycle monitoring…
Assimilation of SAR-derived Flood Observations for Improving Fluvial Flood Forecast
Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini +5
As the severity and occurrence of flood events tend to intensify with climate change, the need for flood forecasting capability increases. In this regard, the Flood Detection, Aler…
Exploitation of error correlation in a large analysis validation: GlobCurrent case study
Richard E. Danielson, Johnny A. Johannessen, Graham D. Quartly +4
An assessment of variance in ocean current signal and noise shared by in situ observations (drifters) and a large gridded analysis (GlobCurrent) is sought as a function of day of t…