Zoi Paschalidi

Research associate Sep 2021 -

Research and Development, German Weather Service

Research Associate in Research and Development, Department of Observation Modelling and Verification

·       Project ‘SynopSys' - Evaluation & quality control of the observation data of the MOSAiC expedition in the Arctic

·       Evaluation & improvement of the forecasting capabilities of the weather prediction global model ICON-NWP in the Arctic

·       Assimilation of new Arctic high resolved data - Forecast reanalysis

Research associate Oct 2017 - Aug 2021

Research and Development, German Weather Service

Research Associate in Research and Development, Department of Data Assimilation

·       Project ‘Fleet Weather Map' in cooperation with the automobile manufacturer AUDI AG

·       Real-time weather – Development of an ultra-rapid data assimilation algorithm

·       Ensemble Kalman Filter / LETKF developments

·       Development / implementation of new observation channels

·       Data assessment / Development of data quality control programs

·       Coordination and evaluation of measurement campaigns

Research associate Nov 2011 - Oct 2015

Rheinische Institute for Environmental Research at the University of Cologne

·       Trace gas-assimilation and inversion studies within the REKLIM, MACC-II and PEGASOS projects

·       Data assimilation, variational 4D-var

·       Development of the chemical transport model EURAD-IM

·       Inverse Modelling

·       Anthropogenic emission estimation / dispersion studies 

University of Cologne 2011 - 2015

Field of study: Meteorology / Atmospheric Science
Degree: PhD

Faculty of Mathematics and Natural Sciences

Dissertation: 'Inverse Modelling for the anthropogenic emission estimation by 4-dimensional variational data assimilation of gaseous components from routinely and campaign platforms'

National Technical University of Athens 2003 - 2011

Field of study: Applied Mathematics and Physical Sciences
Degree: Diploma (Dipl. - Ing.)

Diploma thesis: 'Modelling and computational analysis of fire spreading dynamics in heterogeneous environments using GIS data'