Filters








50 Hits in 1.1 sec

Apport de l'observation satellitaire à l'hydrologie continentale

Sylvain Biancamaria, Yann Kerr
2017 La Météorologie  
Depuis plusieurs décennies, un nombre croissant de satellites observe la variabilité spatio-temporelle de plusieurs compartiments des eaux continentales (eaux libres, manteau neigeux, humidité du sol...). Ces observations ont permis de mieux comprendre les échanges d'eau au sein des bassins fluviaux et le couplage avec l'atmosphère et les océans. Elles ont aussi contribué à améliorer les prévisions d'inondation, la prévention de risques naturels et le suivi de l'évolution géomorphologique des
more » ... nes en eau. Les futures missions spatiales, en améliorant la précision et la récurrence des mesures, deviendront un outil incontournable pour gérer les ressources en eau. Abstract Contribution of satellite observations to continental hydrology Over the last decades, an increasing number of satellite missions has helped to observe the spatial and temporal variabilities of continental waters (surface water, surface snow, soil moisture, etc.). These observations helped to better understand water fluxes within river basins and their coupling with the atmosphere and oceans. They also contributed to improve flood forecasting, prevent natural hazards and track geomorphological changes in water bodies. Future satellite missions, with improved measurement accuracy and temporal sampling, will become essential tools for water resources management.
doi:10.4267/2042/62169 fatcat:f56k4yd7bzgfdjlbwxzfusdezq

Assimilation of Synthetic SWOT River Depths in a Regional Hydrometeorological Model

Vincent Häfliger, Eric Martin, Aaron Boone, Sophie Ricci, Sylvain Biancamaria
2019 Water  
The SWOT (Surface Water and Ocean Topography) mission, to be launched in 2021, will provide water surface elevations, slopes, and river width measurements for rivers wider than 100 m. In this study, synthetic SWOT data are assimilated in a regional hydrometeorological model in order to improve the dynamics of continental waters over the Garonne catchment, one of the major French catchments. The aim of this paper is to demonstrate that the sequential assimilation of SWOT-like river depths allows
more » ... the correction of river bed roughness coefficients and thus simulated river depths. An extended Kalman filter is implemented and the data assimilation strategy was applied to four experiments of gradually increasing complexity regarding observation and model error over the 1995–2000 period. With respect to a "true" river state, assimilating river depths allows the proper retrieval of constant and spatially distributed roughness coefficients with a root mean square error of 1 m1/3 s−1, and the estimation of associated river depths. It was also shown that river depth differences can be assimilated, resulting in a higher root mean square error for roughness coefficients with respect to the true river state. Finally, the last experiment shows how one can take into account more realistic sources of SWOT error measurements, in particular the importance of the estimation of the tropospheric water content in the process.
doi:10.3390/w11010078 fatcat:cnozd42kybg7dalaqjntvgn2ry

The SWOT Mission and Its Capabilities for Land Hydrology [chapter]

Sylvain Biancamaria, Dennis P. Lettenmaier, Tamlin M. Pavelsky
2016 Space Sciences Series of ISSI  
Biancamaria et al. (2010) have provided early estimates.  ...  For each realization the same methodology of Biancamaria et al. (2010), previously 703 described, has been applied.  ... 
doi:10.1007/978-3-319-32449-4_6 fatcat:id24d3wd6ffcbhkll5ijf7oyou

The SWOT Mission and Its Capabilities for Land Hydrology

Sylvain Biancamaria, Dennis P. Lettenmaier, Tamlin M. Pavelsky
2015 Surveys in geophysics  
Biancamaria et al. (2010) have provided early estimates.  ...  For each realization, the same methodology of Biancamaria et al. (2010) , previously described, has been applied.  ... 
doi:10.1007/s10712-015-9346-y fatcat:i7apzvn6v5eqpkeeb55wcascia

Large-scale coupled hydrologic and hydraulic modelling of the Ob river in Siberia

Sylvain Biancamaria, Paul D. Bates, Aaron Boone, Nelly M. Mognard
2009 Journal of Hydrology  
The DEM is a key parameter in the discharge 583 uncertainty as it controls floodplain water depths, hydroperiod and storage volume, which in 584 turn influences wave propagation speeds (Biancamaria et  ...  and because GTOPO30 has a constant value in the river floodplain between 62.3°N and 279 almost 64°N (Fig. 5a), using this DEM gives non realistic floodplain water depths in the 280 LISFLOOD-FP model (Biancamaria  ... 
doi:10.1016/j.jhydrol.2009.09.054 fatcat:pybqcshbdvgspfnkrz2zrqmz34

Evolution of high-latitude snow mass derived from the GRACE gravimetry mission (2002–2004)

Frédéric Frappart, Guillaume Ramillien, Sylvain Biancamaria, Nelly M. Mognard, Anny Cazenave
2006 Geophysical Research Letters  
Since March 2002, the GRACE mission provides monthly global maps of geoid time-variations. These new data carry information on the continental water storage, including snow mass variations, with a ground resolution of ~600-700 km. We have computed monthly snow mass solutions from the inversion of the 22 GRACE geoids (04/2002 -05/2004). The inverse approach developed here allows to separate the soil waters from snow signal. These snow mass solutions are further compared to predictions from three
more » ... global land surface models and snow depths derived from satellite microwave data. We find that the GRACE solutions correlate well with the high-latitude zones of strong accumulation of snow. Regional means computed for four large boreal basins (Yenisey, Ob, Mac Kenzie and Yukon) show a good agreement at seasonal scale between the snow mass solutions and model predictions (global rms ~30-40 mm of equivalent-water height and ~10-20 mm regionally).
doi:10.1029/2005gl024778 fatcat:tegxtga2tjbg3kfgeforune7a4

Validation of Jason-3 tracking modes over French rivers

Sylvain Biancamaria, Thomas Schaedele, Denis Blumstein, Frédéric Frappart, François Boy, Jean-Damien Desjonquères, Claire Pottier, Fabien Blarel, Fernando Niño
2018 Remote Sensing of Environment  
This problem has been extensively described and 102 discussed by Biancamaria et al. (2017) .  ...  Biancamaria et al. (2017) showed that 228 some locations in the steep-sided Garonne River valley (within mainland France) could not be 229 observed by nadir altimeters in CL mode.  ... 
doi:10.1016/j.rse.2018.02.037 fatcat:3oi4bvesxng2fjywleilcwcu7u

Variations of Surface and Subsurface Water Storage in the Lower Mekong Basin (Vietnam and Cambodia) from Multisatellite Observations

Binh Pham-Duc, Fabrice Papa, Catherine Prigent, Filipe Aires, Sylvain Biancamaria, Frédéric Frappart
2019 Water  
In this study, we estimate monthly variations of surface-water storage (SWS) and subsurface water storage (SSWS, including groundwater and soil moisture) within the Lower Mekong Basin located in Vietnam and Cambodia during the 2003–2009 period. The approach is based on the combination of multisatellite observations using surface-water extent from MODIS atmospherically corrected land-surface imagery, and water-level variations from 45 virtual stations (VS) derived from ENVISAT altimetry
more » ... nts. Surface-water extent ranges from ∼6500 to ∼40,000 km 2 during low and high water stages, respectively. Across the study area, seasonal variations of water stages range from 8 m in the upstream parts to 1 m in the downstream regions. Annual variation of SWS is ∼40 km 3 for the 2003–2009 period that contributes to 40–45% of total water-storage (TWS) variations derived from Gravity Recovery And Climate Experiment (GRACE) data. By removing the variations of SWS from GRACE-derived TWS, we can isolate the monthly variations of SSWS, and estimate its mean annual variations of ∼50 km 3 (55–60% of the TWS). This study highlights the ability to combine multisatellite observations to monitor land-water storage and the variations of its different components at regional scale. The results of this study represent important information to improve the overall quality of regional hydrological models and to assess the impacts of human activities on the hydrological cycles.
doi:10.3390/w11010075 fatcat:mhsnhwoyprgq5axrn4wocn7bru

A satellite snow depth multi-year average derived from SSM/I for the high latitude regions

Sylvain Biancamaria, Nelly M. Mognard, Aaron Boone, Manuela Grippa, Edward G. Josberger
2008 Remote Sensing of Environment  
satellite snow depth multi-year average derived from SSM/I for high latitude regions. Remote Sensing of Environment, Elsevier, 2008, 112 (5), pp.
doi:10.1016/j.rse.2007.12.002 fatcat:33xera5wp5gf3o77qsues3f6ha

Satellite-based high latitude snow volume trend, variability and contribution to sea level over 1989/2006

Sylvain Biancamaria, Anny Cazenave, Nelly M. Mognard, William Llovel, Frédéric Frappart
2011 Global and Planetary Change  
Biancamaria), a STAE 476 foundation grant in the framework of the CYMENT project (F. Frappart) and a CNRSA., Remy, F., Dominh, K., Douville, H., 2000.  ... 
doi:10.1016/j.gloplacha.2010.10.011 fatcat:rgqq6f5y7raabhswpvolp4dniq

Assimilation of wide-swath altimetry observations to correct large-scale river routing model parameters

Charlotte M. Emery, Sylvain Biancamaria, Aaron Boone, Sophie Ricci, Mélanie C. Rochoux, Vanessa Pedinotti, Cédric H. David
2019 Hydrology and Earth System Sciences Discussions  
Biancamaria (sylvain.biancamaria@legos.obs-mip.fr).  ...  As in Biancamaria et al. (2011) and Pedinotti et al. (2014) , this SWOT simulator replicates SWOT spatio-temporal coverage.  ... 
doi:10.5194/hess-2019-242 fatcat:mtdtgzvvcnex7b2kiseveltlxm

Large-scale hydrological model river storage and discharge correction using a satellite altimetry-based discharge product

Charlotte Marie Emery, Adrien Paris, Sylvain Biancamaria, Aaron Boone, Stéphane Calmant, Pierre-André Garambois, Joecila Santos da Silva
2018 Hydrology and Earth System Sciences  
Biancamaria (sylvain.biancamaria@legos.obs-mip.fr).  ...  So, the localization matrix is term-to-term multiplied (sign "×" in Eq. 15) to the error covariance matrix [PH T ] e,k such as in Moore (1973) and Biancamaria et al. (2011) : x a =x b + S × P b H T  ... 
doi:10.5194/hess-22-2135-2018 fatcat:c6belzqde5ejbc5zupxqasjxhu

Large scale hydrological model river storage and discharge correction using satellite altimetry-based discharge product

Charlotte Marie Emery, Adrien Paris, Sylvain Biancamaria, Aaron Boone, Stéphane Calmant, Pierre-André Garambois, Joecila Santos da Silva
2017 Hydrology and Earth System Sciences Discussions  
Biancamaria (sylvain.biancamaria@legos.obs-mip.fr).  ...  So, the localization matrix is term-to-term multiplied (sign "×" in Eq. 15) to the error covariance matrix [PH T ] e,k such as in Moore (1973) and Biancamaria et al. (2011) : x a =x b + S × P b H T  ... 
doi:10.5194/hess-2017-516 fatcat:a7vqhkxasff6hnn7iwxqkpteqa

Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters

Charlotte Marie Emery, Sylvain Biancamaria, Aaron Boone, Sophie Ricci, Mélanie C. Rochoux, Vanessa Pedinotti, Cédric H. David
2020 Hydrology and Earth System Sciences  
To get the DA routines coupled to ISBA-CTRIP with OpenPalm, please directly contact Charlotte Marie Emery (charlotte.emery@jpl.nasa.gov) or Sylvain Biancamaria (sylvain.biancamaria@legos.obs-mip.fr).  ...  As in Biancamaria et al. (2011) and Pedinotti et al. (2014) , this SWOT simulator replicates SWOT spatio-temporal coverage.  ... 
doi:10.5194/hess-24-2207-2020 fatcat:hrhs6gqx7zfzxcnvbbaxebdws4

Preliminary Characterization of SWOT Hydrology Error Budget and Global Capabilities

Sylvain Biancamaria, Kostas M. Andreadis, Michael Durand, Elizabeth A. Clark, Ernesto Rodriguez, Nelly M. Mognard, Doug E. Alsdorf, Dennis P. Lettenmaier, Yannick Oudin
2010 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Biancamaria) is supported by a CNES/Noveltis grant.  ... 
doi:10.1109/jstars.2009.2034614 fatcat:qzipkeibefecvja53w55ms6pg4
« Previous Showing results 1 — 15 out of 50 results