Sustainability and Environment
Data mining tools for abrupt climate change
Updating our knowledge on abrupt climate change
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
Partners
Related
Related projects
Sustainability and Environment
eEcoLiDAR
eScience infrastructure for ecological applications of LiDAR point clouds
Sustainability and Environment
eEcology
Virtual laboratories for inspiration and discovery in ecology
Sustainability and Environment
PRIMAVERA
Process-based climate simulation: advances in high-resolution modelling and European climate risk...
Let’s collaborate
Are you a researcher who could benefit from our eScience skills and experience? Reach out to us today and let’s explore how we can work together.
Collaborate
Updates