Management of water resources, strongly impacted by climate change, demographic growth and urbanisation, is continuously calling for improved modeling and analysis tools.
Hydrological forecasting is a core instrument for more effective water-related management and operation, such as warning and protection against flooding, real-time operation of infrastructure, improved water allocation and environmental management. It also represents an efficient tool for climate change adaptation, when combined with structural measures and early warning systems.
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| One of the key challenges the research project HydroCast will address is the assimilation of in-situ and remote sensing measurements for real-time updating of the MIKE SHE hydrological modeling system |
Partnering with several research institutions*, DHI coordinates a project aiming at establishing and testing a general framework for hydrological forecasting, combining different data sources with meteorological and hydrological modeling.
The developed framework and tools will be tested and demonstrated for three problem areas: flood forecasting, seasonal forecasting of irrigation potential, and environmental monitoring.
Funded by the Danish Strategic Research Council, the HydroCast project will run during 4 years and will address key scientific challenges in relation to probabilistic, real-time hydrological forecasting and data assimilation.
As part of this multi-disciplinary and multi-institutional project, the University of Copenhagen is currently offering two PhD scholarships.
Click here to learn more and apply.
*The HydroCast project is coordinated by DHI and partners are: Geological Survey of Denmark and Greenland, University of Copenhagen, Aalborg University, Danish Meteorological Institute, European Centre for Medium-Range Weather Forecasts, Delft University of Technology, Danish Road Directorate, Knowledge Centre for Agriculture, and Danish Nature Agency.