Sustainability and Environment
Data mining tools for abrupt climate change
Updating our knowledge on abrupt climate change
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
Updating our knowledge on abrupt climate change
eScience infrastructure for ecological applications of LiDAR point clouds
Virtual laboratories for inspiration and discovery in ecology
Process-based climate simulation: advances in high-resolution modelling and European climate risk...
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