eVITA-EnKF is a methodological project from the Research Council of Norway, aimed at multidisciplinary applications of advanced data assimilation methods, the EnKF and related methods.
The ensemble Kalman filter (EnKF) and related data assimilation methods methods are being applied to the following modelling systems:
Ocean Monitoring and Forecasting; Providing Products and Services for all marine applications: Safety, Resources, Environment and Climate.
Objective
Within the Global Monitoring for Environment and Security program (GMES) and its Marine Service Fast Track , the European community consolidates past efforts in pre-operational ocean monitoring and forecasting capacity in Europe developped through precursor European projects as MERSEA, BOSS4GMES, GSE MARCOAST
Developmenting a European system for operational monitoring and forecasting of the ocean physics, biogeochemistry, and ecosystems, on global and regional scales.
GMES (Global Monitoring for Environment and Security) is a joint initiative of the European Commission and the European Space Agency, designed to establish a European capacity for the provision and use of operational information for Global Monitoring of Environment and Security. To support the development of the Ocean and Marine Applications component of GMES, the EC is funding the MERSEA integrated project.
My aim is to improve the stochastic framework for performing data assimilation, other interests include numerical ocean modelling (especially in the hybrid coordinates ocean model HYCOM) and statistics applied to environmental problems. My PhD has borrowed the method of "Gaussian anamorphosis" from the weaponry of geostatistics for further applications of sequential data assimilation into coupled physical-ecosystem models.
2001: PhD in geostatistics from the Ecole des Mines de Paris.
