Learn about DHI’s recent developments in nearfield spill source description and launch of the cloud-based platform PlumeCast, designed for operational, fast & easy access to dredging scenario modelling and pro-active management of dredging-related sediment spill right in your browser.
Learn about the scientific background of our new Global Seas service. The service delivers earth observation enriched high-quality metocean data to enhance fuel-efficiency in the shipping industry.
Learn about what we have done in our applied research work in coupling flood models to support end-users to do climate adaptation decision making and access early warning flood impacts results.
Learn about what we have done in our applied research work in making a global model capable of producing hind- and forecast data fast enough for real time applications.
Let us introduce and demonstrate how to work with MIKE data files in Python with our open-source library MIKE IO and learn about how to read, write, and modify DFS files with the MIKE IO library.
Learn about machine learning approaches for flood forecasting and some results from our case studies with the Danish Environmental Protection Agency (DEPA).
Learn about the approaches that we take in optimal real time control of urban drainage systems in our applied research work.