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Softwares for data assimilation

FIREFLY

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

DAMP

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

NEWS

Continuity of activity of the Cerfacs during the Covid-19 pandemic

superadmin |  20 March 2020

On Monday 16 March 2020, in the context of the rapidly evolving COVID-19 epidemic, Cerfacs decided to reorganize its activities by implementing a Business Continuity Plan (BCP) and deploying teleworking facilities for all its employees. All staff members thus continue to carry out their full mission.Read more


A fiery wakeup call for climate science

superadmin |  26 February 2020

The extent of the recent wildfires in Australia significantly exceeded the projections of any member of the multi-model CMIP archive.  This highlights how current multi-model ensembles may be under-representing the risks of natural disasters under climate change.  Limited coupled system process representation in most models coupled with a lack of parameter uncertainty exploration means that some risks are not explored by the existing international multi-model framework.  This calls for a reassessment of how to focus climate model development on providing robust risk quantification for those impacts which most directly affect society. Sanderson, B.M., Fisher, R.A. A fiery wake-up call for climate science. Nat. Clim. Chang. (2020) nature.com Media coverage BBC Sydney Morning Herald The Guardian Wired The Daily Express YahooRead more

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