Large Scale Data Assimilation

A model for detailed flood predictions around the globe

Handling data assimilation on a large scale

sustainability and environment

Large Scale Data Assimilation

Large Scale Data Assimilation

Handling data assimilation on a large scale

The operational global hydrological model built in the eWaterCycle project has all central features, such as near real-time data assimilation and global coverage. An important feature of the eWaterCycle system is its ability to predict flooding. One of the biggest challenges remaining is the scaling up of this system, in particular the Data Assimilation. In this project methods and software will be developed for handling DA on a large scale. The result will be an operational global model that produces detailed flood predictions around the globe.

Image: NASA/JAXA

Delft University of Technology Prof. Nick van de Giesen

Prof. Nick van de Giesen holds the Van Kuffeler Chair of Water Resources Management of the Faculty of Civil Engineering and Geosciences. His main interests are the modeling of complex water resources systems and the development of science-based decision support systems.

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