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