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Softwares for data assimilation


Ensemble Kalman Filter, implemented on a front propagation simulator and sequentially assimilating front positions observed for correct input parameters (surface winds, vegetal fuel) and state (position of the front) model.

Further details: http://firefly.cerfacs.fr/ ; Contact at CERFACS: Mélanie Rochoux, Sophie Ricci


The DAMP platform (Data Assimilation with MASCARET) is dedicated to flood forecasting. It is based on solving equations river hydraulics (St. Venant equations) within the one-dimensional code MASCARET (developed by EDF and CEREMA). The implementation is done through dynamic coupling software OpenPALM that allows communication between the code and the calculation algorithm of the Kalman Filter assimilation by optimally managing  computing resources. Sequential assimilation of observed data in-situ water height corrects the errors on the friction coefficients,  hydrological and hydraulic inflow (height and flow rate) and thus improve the quality of short and medium forecast words (from several hours to 24 hours depending on the dynamics of watersheds). To date, DAMP is operationaly used at SPC at SAMA (Seine Marne Upstream Upstream) and is being implemented at a wider use SCHAPI to other basins.

Further details: http://damp.cerfacs.fr/ ; Contact at CERFACS : Sophie Ricci, Mélanie Rochoux


Swings oceanographic campaign

nasri |  11 January 2021

Christophe Cassou, a researcher at the Cerfacs/CNRS joint laboratory (CECI: Climate, Environment, Couplings and Uncertainties) will take part in the Swings oceanographic campaign, involving 48 scientists and led by two CNRS researchers. It will take place in the Southern Ocean on board the Marion Dufresne II of the French Oceanographic Fleet (FOF), operated by Ifremer, from 11 January to 8 March. 2 months sea explore southen oceansRead more

Best wishes 2021 !

Brigitte Yzel |  5 January 2021

Cerfacs wishes you all the best for this new year 2021!Read more