Matthias Zink

Forecast Department, Production Section, Data Archives and Dissemination Services

page tabs


Matthias Zink is a Analyst in the Forecasts Department of ECMWF. Within the Data Archives and Dissemination Services team he is responsible for several operational services. His main focus is to support, maintain, and improve ECMWF's product generation and dissemination system, a highly time-critical system responsible for the dissemination of our weather forecast data. Additionally Matthias participates in the administration of our data holding systems, the Fields Database (FDB) and the Meteorological Archival and Retrieval System (MARS).

Professional interests: 
  • Design and support of time critical, operational systems
  • High Performance Computing
  • User engagement and support
  • Processing of structured and unstructured Big Data (e.g., environmental forecasts, system log files)
  • Uncertainty in environmental monitoring and predictions
  • Environmental data and its various formats (GRIB, BUFR, NetCDF, HDF)
  • Project and team management
Career background: 

Professional experience

Matthias has experience in working in research and operational environments, in multinational and diverse teams. He joined ECMWF to learn more about operational systems after successfully implementing a national soil moisture drought monitoring system for Germany.

Matthias has designed the new product generation system and together with his colleagues he implemented this new system in ECMWF's production environment in 2019. Matthias is now working on the improvement of the quality of service and the migration of dissemination services to the ECMWF's new data centre in Bologna.

He is author of several publications in international peer-reviewed journals concerning hydro-meteorological forecasts and its uncertainty. 


PhD (Dr. rer. nat), Friedrich Schiller University Jena, (2016): Thesis on "Soil Moisture Droughts in Germany: Retrospective Analysis, Parametric Uncertainty and Monitoring"

Diplom-Hydrologist (MSc equivalent), Dresden University of Technology, (2010): Thesis on "A study on different approaches for physically based overland flow modeling"

Contact Details:
matthias . zinkecmwf . int