Large Scale Data Assimilation in the eWatercycle global hydrological model

Handling data assimilation on a large scale

Image: NASA/JAXA

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.

Participating organisations

Delft University of Technology
Deltares
Netherlands eScience Center
Utrecht University
Environment & Sustainability
Environment & Sustainability

Impact

Output

Team

Jason Maassen
eScience Coordinator
Netherlands eScience Center
Niels  Drost
Niels Drost
Senior RSE, Programme Manager
Netherlands eScience Center
NvdG
Nick van de Giesen

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