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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


Cerfacs funded for the EoCoE-II European center of excellence

superadmin |  11 October 2018

The European center of excellence EoCoE-II brings together 20 partners from 7 European countries around exascale computing for energy-oriented numerical models. As a follow-up to the proof-of-principle phase of EoCoE (energy-oriented center of excellence), EoCoE-II will build on its unique,...Read more

Cerfacs funded by the EU for more than 1 MEuros thanks to the IS-ENES3 and ESiWACE2 projects

superadmin |  4 October 2018

IS-ENES3 is the third phase of the distributed e-infrastructure of ENES (European Network for Earth System modelling), enabling the European climate modelling community to address the challenges of international intercomparison project CMIP6. IS-ENES3 will develop, document and deploy new and...Read more