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).
The ‘Making a Big Splash for a Sustainable Future’ summit report is now available. Get it here. Back in January, 45 urban water experts have met in Copenhagen to identify the toughest water challenges that cities are facing right now and to initiate a research framework that could further contribute to ensuring future sustainability. You […]
Natural cycles, climate change and other influences combine to create increasingly severe flooding events, which in turn cause widespread social, environmental and economic problems in many areas of the world. But it’s not all gloom and doom. The good news is that available flood early warning and forecasting systems and mitigation measures are improving all […]
Join us to Slope Stability 2020 symposiums and discover how DHI deals with geological complexity, optimize dewatering program and explore model uncertainty using data fusion. 3D unstructured meshing in FEFLOW allows for an increased level of detail in the open pit and a better representation of the geological complexity and structures, at the same time […]
Find out how DHI has applied machine learning approaches to forecast stream water level to provide rapid and efficient forecasts for flood mapping and management. https://www.dhigroup.com/global/news/2020/03/forecasting-stream-water-level-and-flooding-with-machine-learning