CERFACS CERFACS Scientific Activity Report Jan. 2010 â Dec. 2011
CERFACS CERFACS Scientific Activity Report Jan. 2010 â Dec. 2011
CERFACS CERFACS Scientific Activity Report Jan. 2010 â Dec. 2011
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DATA ASSIMILATION FOR HYDRAULICS AND HYDROLOGY<br />
4.3 Investigation for the use of data assimilation techniques to<br />
improve the modeling of the hydrodynamics of the Berre<br />
lagoon with TELEMAC 3D (S. Ricci, A. Piacentini, O. Thual, in<br />
collaboration with LNHE)<br />
The Berre lagoon, located in the South East of France, is one of the largest lagoons in the Mediterranenan<br />
area. It is located in the South East of France. It is a receptacle of 1000Mm 3 where salty sea water<br />
meets fresh water discharged by the hydroelectric plant at Saint-Chamas and by natural tributaries (Arc<br />
and Touloubre rivers). EDF fresh water discharge can reach up to 1200 Mm 3 per year and has a strong<br />
seasonal variability. To better qualify and quantify the relationships between the salinity of the lagoon, the<br />
fresh water inputs (from the powerplant and from the rivers), the water exchanges with the sea and the wind<br />
mixing, EDF started an in-situ continuous monitoring of the lagoon and built a 3D hydrodynamic model<br />
with the TELEMAC software. EDF R&D at LNHE aims at maximizing the benefits of this numerical tool<br />
by simulating new scenarios of exploitation and optimizing the operation of the hydroelectric production<br />
while preserving the lagoon ecosystem.<br />
The objectif of the project at <strong>CERFACS</strong> is to investigate the use of data assimilation techniques in the<br />
context of the Berre lagoon study, especially to improve the representation of the salinity field using CTD<br />
salinity profiles. The developement of the 3D-FGAT algorithm is on-going at <strong>CERFACS</strong> : it consists in<br />
correcting the salinity state at the beginning of an assimilation window. This approach is the same as the<br />
one used in meteorology, oceanography and atmospheric chemistry. The successul achievement of this<br />
project partly relies on the good use of the expertise at <strong>CERFACS</strong> in other applicative fields [DA7],[7],<br />
[9],[8], available at <strong>CERFACS</strong>, for variational data assimilation and optimization.<br />
The implementation of the algorithm for the prototype is currently being done using the Open-PALM<br />
software. Some of the technical aspects for this part have already been solved in close collaboration with<br />
the Open-PALM team at <strong>CERFACS</strong>. This choice was made to ease the development and the use of the<br />
assimilation prototype. Still, this collaborative project should fit into EDF R&D dynamics regarding the use<br />
of the SALOME platform. The project benefits from <strong>CERFACS</strong>’s expertise with this coupling software, as<br />
well as from LNHE involvement with the use of this tool (1D/2D hydraulic coupling, data assimilation for<br />
1D hydraulic).<br />
4.4 Investigate the use of satellite measurements in conjunction with<br />
in situ data to improve water ressources studies in the framework<br />
of data assimilation in large scale hydrology (M. Mouffe, S. Ricci,<br />
in collaboration with LEGOS/CNES, CNRM)<br />
About 73% of global water ressources is provided by continental waters. Understanding and forecasting<br />
these ressources is then a crucial issue that can only partly be addressed with in situ observations.<br />
Hydrodynamics modeling plays a major role in this study but as data are required to initialize and force<br />
these models, modeling can also partly adress this question and major uncertainties remain on estimation<br />
of water levels and discharges. Observation from space, especially altimetry can notably help reducing<br />
uncertainties. The joint mission SWOT (CNES and NASA) to be launched in 2020, will provide wide<br />
swath (120 km) altimetry data with a global coverage over oceanic and continental waters. These data will<br />
enable the observation of middle size rivers (from 50 m wide) with a temporal frequency of at most 22 days.<br />
In the framework of a post-doc funded by CNES (Mélodie mouffe, started in September <strong>2011</strong>), at<br />
<strong>CERFACS</strong>, a study on the use of SWOT data for large scale hydrology was initiated. The HYMAP<br />
hydrological model was developped at CNRM in the framework of a CNES post-doc. This model is forced<br />
88 <strong>Jan</strong>. <strong>2010</strong> – <strong>Dec</strong>. <strong>2011</strong>