A5040653349- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Meteorological Phenomena and Simulations
- Soil Moisture and Remote Sensing
- Oceanographic and Atmospheric Processes
- Precipitation Measurement and Analysis
- Ocean Waves and Remote Sensing
- Cryospheric studies and observations
- Coastal and Marine Dynamics
- Geophysics and Gravity Measurements
- Climate change and permafrost
- Hydrological Forecasting Using AI
- Planetary Science and Exploration
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Astro and Planetary Science
- Geology and Paleoclimatology Research
- Anomaly Detection Techniques and Applications
- Arctic and Antarctic ice dynamics
- Healthcare Systems and Practices
- Remote Sensing and LiDAR Applications
- Underwater Acoustics Research
- Cruise Tourism Development and Management
- Reservoir Engineering and Simulation Methods
- Distributed and Parallel Computing Systems
- Soil erosion and sediment transport
Centre National d'Études Spatiales
2019-2024
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique
2023
Centre National de la Recherche Scientifique
2018
Aptiv (France)
2018
European Space Research and Technology Centre
2017
This article describes the first results obtained from Surface Waves Investigation and Monitoring (SWIM) instrument carried by China France Oceanography Satellite (CFOSAT), which was launched on October 29, 2018. SWIM is a Ku-band radar with near-nadir scanning beam geometry. It designed to measure spectral properties of surface ocean waves. First, good behavior illustrated. then shown that nadir products (significant wave height, normalized cross section, wind speed) exhibit an accuracy...
The European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) satellite has provided, for the first time, systematic passive L-band (1.4 GHz) measurements from space. This new data set, with a spatial resolution of ~40 km, allowed number outstanding results over land (soil moisture, vegetation properties, frozen soils, ...), ocean (salinity, meso-scale phenomena, river plumes, high winds, ...) cryosphere. SMOS, together NASA missions SMAP Aquarius, have demonstrated interest...
Flood simulation and forecast capability have been greatly improved thanks to advances in data assimilation (DA) strategies incorporating various types of observations; many are derived from Earth Observations space. This article focuses on the 2-D flood observations synthetic aperture radar (SAR) images acquired during a event with dual state-parameter ensemble Kalman filter (EnKF). Resulting binary wet/dry maps here expressed terms wet surface ratios (WSRs) over number subdomains...
The European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) has been providing the longest consistent data record of passive L-band (1.4 GHz) observations for more than ten years. SMOS, as well NASA missions SMAP Aquarius have demonstrated interest land, ocean cryosphere studies. continuity must be assured taking into account that spatial resolution (~ 40 km) SMOS is too coarse some applications. Disaggregation strategies can implemented but using airborne data, we show quality...
The Soil Moisture and Ocean Salinity (SMOS) satellite has provided, for the very first time, systematic passive L-band (1420−1427 MHz) measurements from space with a spatial resolution of ~50 Km. This contribution presents preliminary results studies conducted High Resolution (HR) follow-on mission. SMOS-HR project is currently undergoing Phase 0 study by French agency. goal to ensure continuity while increasing ~10 Km without degrading radiometric sensitivity keeping revisit time 3 days unchanged.
Floods are the most common natural disasters all over world and they increasing in frequency intensity due to climate changes. The Space for Climate Observatory (SCO)-FloodDAM-DT project with a joint collaboration effort between CNES, NASA's partners JPL is devoted developing federated Earth System Digital Twin (ESDT) water-cycle applications focused on flood events. In particular, SCO-FloodDAM-DT aims provide an automated pre-operational service reliably detect, monitor assess floods at...
published or not.The documents may come from teaching and research institutions in France abroad, public private centers.L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de scientifiques niveau recherche, publiés ou non, émanant des établissements d'enseignement recherche français étrangers, laboratoires publics privés.
The Chinese-French oceanography satellite, CFOSAT, was launched on October 2018. Two Ku-band scatterometers are on-board: SCAT for the wind observation and SWIM wave observation. After a first phase mainly dedicated to validation identification of improvement possibilities, ground processing products generated were upgraded. This paper presents main evolutions implemented their positive impacts data quality.
Flooding is represented with a 2D hydrodynamic model over reach of the Ohio river between Cannelton and Newburgh locks dams. The geometry floodplain was provided by National Oceanic Atmospheric Administration (NOAA), based on U.S. Army Corps Engineers (USACE) survey channel data merged United States Geological Survey (USGS) LiDAR in overbank regions. description hydraulic structures from USACE in-situ water depth measurements USGS stations were also used. Working 1D HEC-RAS University that...
In spite of astonishing advances and developments in remote sensing technologies, meeting the spatio-temporal requirements for flood hydrodynamic modeling remains a great challenge Earth Observation. The assimilation multi-source data 2D models participates to overcome such challenge. recently launched Surface Water Ocean Topography (SWOT) wide-swath altimetry satellite provides global coverage water surface elevation at high resolution. SWOT complementary observation radar optical images,...
A chained hydrologic-hydraulic model is implemented using predicted runoff from a large-scale hydrologic (namely ISBA-CTRIP) as inputs to local hydrodynamic models (TELEMAC-2D) issue forecasts of water level and flood extent. The uncertainties in the hydrological forcing friction parameters are reduced by an Ensemble Kalman Filter that jointly assimilates in-situ levels extent maps derived remote sensing observations. data assimilation framework cycled real-time forecasting configuration....
Accurate rainfall modeling is crucial to understand the way water intercepted, infiltrates and flows through surfaces rivers. In particular, it paramount for study of influence spatio-temporal distribution on basin hydrologic response structure floods. Current weather radar products allow capturing variability extremes mainly at 1 km spatial resolution. France, measurements are performed a 5-minute time step, while gauge-based reanalysis computed hourly resolutions. During short-duration...
Owing to advances in data assimilation, notably Ensemble Kalman Filter (EnKF), flood simulation and forecast capabilities have greatly improved recent years. The motivation of the research work is reduce comprehensively uncertainties model parameters, forcing hydraulic state, consequently improve overall reanalysis capability, especially floodplain. It aims at assimilating SAR-derived (typically from Sentinel-1 mission) extent observations, expressed terms wet surface ratio. non-Gaussianity...
The Chinese-French oceanography satellite, CFOSAT, was launched on October 2018. Two Ku-band scatterometers are on-board: SCAT for the wind observation and SWIM wave observation. This paper presents most recent results data quality analysis a few months after end of CAL/VAL phase.
This paper reports on the main results of SMOS-HR instrument technical study, a new interferometric radiometer dedicated to Soil Moisture and Ocean Salinity measurement from space. The aims at providing enhanced spatial resolution with respect SMOS integrating robust RFI (RF Interference) mitigation technique. key performance requirements architecture features trade-offs are exposed in this paper.
For the first time, co-located wind vectors and wave spectral characteristics are available thanks to French/Chinese CFOSAT mission, which includes a scatterometer SCAT SWIM. Three years after its launch, data is thoroughly qualified various scientific work has been undertaken. This paper focuses on SWIM data, performance contribution oceanography, coastal sea ice study.
This paper presents the goal, organization and first results of calibration validation activities devoted to Ku-band wave scatterometer SWIM in operation since end October 2018 after launch China-France Oceanography SATellite CFOSAT.
Ensemble data assimilation in flood forecasting depends strongly on the density, frequency and statistics of errors associated with observation network. This work focuses 2D extent data, expressed terms wet surface ratio, addition to in-situ water level data. The objective is improve representation plain dynamics a TELEMAC-2D model an Kalman Filter (EnKF). EnKF control vector composed friction coefficients corrective parameters input forcing. It augmented state averaged over selected...