Researcher at Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (AWI)
Knowledge and experience coastal ocean dynamics and shelf sea biogeochemical processes together with implementation of the ocean community models to generation’s coupled Ocean-Wave-Sea-Ice-Biogeochemical Model through one-way and two-way nesting model coupling with their improvement through numerical techniques and data assimilation with combination of empirical and theoretical knowledge to better understanding past and future climate change and minimize future coastal hazards and marine ecosystems.
Development of sophisticated data products and toolboxes for verification, statistical analysis prognostic and diagnostic quality assessment of a varied range of sources, including in-situ, Argo, glider, buoys, satellite observation, real-time and reanalysis products in the form of NetCDF, Binary, GRIB, HDF, SQL and OPeNDAP formats. Knowledge of system administration in Linux environments, parallel computing, open MP/MPI environments.
Role in project
My Contribution in the project is to implement ensemble data assimilation based on the assimilation framework PDAF into a 1D setup of the model system GOTM-FABM as a prototype for the assimilation with different biogeochemical models, extend the ensemble assimilation system of the CMEMS Monitoring and Forecasting Center for the Baltic Sea, which uses the model NEMO-ERGOM coupled to PDAF, Perform data assimilation experiments with physical and biological remote-sensing data in order to improve model predictions, as well as development along with the implementation of ensemble data assimilation approaches for obtaining an accurate prediction/forecasting system model."