DHI

📍 𝗪𝗼𝗿𝗹𝗱 𝗚𝗲𝗼𝘁𝗵𝗲𝗿𝗺𝗮𝗹 𝗖𝗼𝗻𝗴𝗿𝗲𝘀𝘀 𝟮𝟬𝟮𝟲 | 𝗖𝗮𝗹𝗴𝗮𝗿𝘆, 𝗖𝗮𝗻𝗮𝗱𝗮  📅 𝟴-𝟭𝟭 𝗝𝘂𝗻𝗲 𝟮𝟬𝟮𝟲 Next month, DHI will be attending World Geothermal Congress 2026, bringing together expertise in geothermal modelling and subsurface simulation. At 𝗯𝗼𝗼𝘁𝗵 𝟭𝟭𝟳, our team will share how FEFLOW supports confident, data‑driven decisions across the entire geothermal project cycle. Meet our team on site: Dr. Carlos R. and Alexander Ewald Ahead of the event, Carlos will lead 𝗮 𝗽𝗿𝗲‐𝗲𝘃𝗲𝗻𝘁 𝘄𝗼𝗿𝗸𝘀𝗵𝗼𝗽:  𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 𝗚𝗲𝗼𝘁𝗵𝗲𝗿𝗺𝗮𝗹 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝘄𝗶𝘁𝗵 𝗙𝗘𝗙𝗟𝗢𝗪  📅 Sat, 6 June 2026  ➜More information and registration: https://lnkd.in/dfhqJu9Z 𝘓𝘪𝘮𝘪𝘵𝘦𝘥 𝘴𝘱𝘰𝘵𝘴 𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 🎤 We are also pleased to share that Carlos will present 'Understanding and quantifying the potential scaling in geothermal reservoirs'. 𝗪𝗵𝘆 𝘃𝗶𝘀𝗶𝘁 𝗼𝘂𝗿 𝗯𝗼𝗼𝘁𝗵?  ✔️Explore advanced geothermal modelling workflows  ✔️See how FEFLOW handles shallow and deep systems  ✔️Join live demos and presentations with industry experts  ✔️Take part in the Thermal Sweet Spot Challenge and test your geothermal intuition in FEFLOW 📩 𝗕𝗼𝗼𝗸 𝗮 𝗺𝗲𝗲𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗼𝘂𝗿 𝘁𝗲𝗮𝗺: https://lnkd.in/gUgdiJKw #WGC2026 #Geothermal #FEFLOW #EnergyTransition #SubsurfaceModelling #RenewableEnergy #DHI

In an earlier post [https://lnkd.in/gntMghfD], we illustrated why wave run-up and overtopping remain among the most demanding processes to model accurately. A project in France explored new MIKE 3 Wave FM functionality to better represent wave overtopping along defences, providing stronger insights for flood assessment and early-warning planning for local authorities.   From a research perspective, the wider question is how wave models behave when applied to highly non-linear, intermittent processes such as wave run-up and overtopping – and under which conditions their limitations become critical. At the 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗼𝗻 𝗖𝗼𝗮𝘀𝘁𝗮𝗹 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (𝗜𝗖𝗖𝗘) 𝟮𝟬𝟮𝟲 in Galveston, USA, Davide Guastella will present a systematic validation study comparing 𝗠𝗜𝗞𝗘 𝟮𝟭 𝗪𝗮𝘃𝗲 𝗙𝗠 (Boussinesq-type) and 𝗠𝗜𝗞𝗘 𝟯 𝗪𝗮𝘃𝗲 𝗙𝗠 (Reynolds-averaged Navier-Stokes) against laboratory benchmark datasets. The analysis spans 𝟱𝟬 𝗿𝘂𝗻-𝘂𝗽 𝗰𝗮𝘀𝗲𝘀 and 𝟭𝟴𝟬 𝗼𝘃𝗲𝗿𝘁𝗼𝗽𝗽𝗶𝗻𝗴 𝗰𝗮𝘀𝗲𝘀, covering slopes from 1:1.2 to 1:6, a wide range of wave conditions and relative freeboards. The focus of the study is not to compare tools, but rather to quantify model behaviour, accuracy and uncertainty across different design stages, including: ➡️Assessing how well key physical processes (run-up transition, overtopping response, turbulence effects) are reproduced ➡️Identifying applicability thresholds based on scatter and stochastic sensitivity ➡️Clarifying where random wave-phase effects and splash processes begin to dominate results Key findings: ✅𝗠𝗜𝗞𝗘 𝟮𝟭 𝗪𝗮𝘃𝗲 𝗙𝗠 delivers reliable predictions efficiently and performs well for screening and early-stage design up to 𝘙𝘤/𝘏𝘮0 ≈ 1.7 ✅𝗠𝗜𝗞𝗘 𝟯 𝗪𝗮𝘃𝗲 𝗙𝗠, with k–ε turbulence closure, shows the closest agreement with measurements and slightly conservative overtopping estimates up to 𝘙𝘤/𝘏𝘮0 ≈ 2.1 ✅The seamless 𝟮𝗗–𝟯𝗗 workflow between MIKE 21 and MIKE 3 supports consistent model application across different levels of complexity The study validates where each wave model performs reliably, reducing uncertainty and supporting more transparent design decisions. This analysis will be presented at ICCE 2026 on 𝗙𝗿𝗶𝗱𝗮𝘆, 𝟮𝟮 𝗠𝗮𝘆 𝟮𝟬𝟮𝟲 𝗮𝘁 𝟵:𝟯𝟰 𝗔𝗠 𝗖𝗧 as part of Session 14C. See Friday’s schedule: https://lnkd.in/gnqCmvES #ICCE2026 #ResearchAndInnovation #WaveOvertopping #CoastalDefence #CoastalEngineering #HydrodynamicModelling #MIKE3Wave #MIKE21Wave

Modelling is rarely just about running a model. Behind many workflows is a layer of scripting, automation and data handling that determines whether results are reproducible, scalable and usable in practice. In the latest story in our series Modelling in practice, our colleague Henrik Andersson shares how Python supports modelling workflows at DHI, not as a modelling method itself, but as a way to connect models, data and assumptions when complexity grows. ‘Python is often referred to as a glue language, and that description fits well in MIKE modelling workflows.’ The interview explores why automation becomes essential in operational forecasting and the trade-offs involved in designing tools around scientific workflows. Henrik also reflects on a simple but important principle: ‘A Word document describes what someone did. Python code is what they did.’ 👉Tap for the full story: https://lnkd.in/e-GFa9KX

𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘁𝗵𝗲 𝗖𝗼𝗿𝗼𝗻𝗮𝘁𝗶𝗼𝗻 𝗣𝗶𝗹𝗹𝗮𝗿 𝘀𝗲𝘄𝗮𝗴𝗲 𝘁𝗿𝗲𝗮𝘁𝗺𝗲𝗻𝘁 𝗽𝗹𝗮𝗻𝘁 𝗶𝗻𝘁𝗼 𝗮𝗻 𝗲𝗻𝗲𝗿𝗴𝘆‐𝗻𝗲𝘂𝘁𝗿𝗮𝗹 𝗳𝗮𝗰𝗶𝗹𝗶𝘁𝘆 The Coronation Pillar STP in Delhi treats up to 318 MLD of wastewater, but over 80% of its energy use goes to aeration and internal recirculation alone. As part of the Indo-Danish collaboration on sustainable wastewater management, DHI supported the Embassy of Denmark in India and the Delhi Jal Board by applying advanced, plant-wide modelling with WEST to identify practical ways to reduce energy use while increasing renewable energy production. 💡The result: clear pathways towards 100% energy self-sufficiency, delivering energy savings, higher biogas production and clean water to benefit 2.3 million residents. Clickable case story link in comment 👇 📷 𝘍𝘪𝘨𝘶𝘳𝘦: 𝘗𝘳𝘰𝘤𝘦𝘴𝘴 𝘭𝘢𝘺𝘰𝘶𝘵 𝘪𝘯 𝘞𝘌𝘚𝘛 𝘰𝘧 𝘵𝘩𝘦 𝘣𝘢𝘴𝘦𝘭𝘪𝘯𝘦 𝘮𝘰𝘥𝘦𝘭 𝘧𝘰𝘳 𝘊𝘰𝘳𝘰𝘯𝘢𝘵𝘪𝘰𝘯 𝘗𝘪𝘭𝘭𝘢𝘳 𝘚𝘛𝘗. © 𝘋𝘏𝘐 #wastewater #wastewatermodelling #wastewatertreatment #WWTP

𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝘁𝘂𝗿𝗻 𝗳𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗺𝗮𝗿𝗶𝗻𝗲 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗰𝗮𝗻 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀? At EGU26, DHI presents 𝗖𝗼𝗮𝘀𝘁𝗮𝗹 𝗗𝗜𝗔𝗠𝗢𝗡𝗗𝗦 (Danish IntegrAted Marine ObservatioN & Data System), an initiative aimed at improving the monitoring of Danish marine waters. Today, large volumes of data are collected across different systems and platforms. The challenge is not access to data, but how these datasets are connected and used together. Coastal DIAMONDS links real-time observations with numerical models in a single, connected framework. By applying data assimilation and advanced processing techniques, the system enables a more consistent and up-to-date view of the coastal conditions. ‘We are bringing together data that already exists but is rarely connected in practice. By integrating real-time observations with models, we can deliver a clearer picture of what is happening in Danish marine waters, and that directly supports better informed decisions.’ — Xin Huei Wong, Environmental Engineer at DHI. This initiative reflects a broader shift in marine monitoring: moving away from isolated data streams towards integrated systems that can support ongoing monitoring and management. 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝘂𝘀 📍 EGU26 | Vienna 🗓 8 May | 17:15–17:25 (CEST) 📌 Session: Room L1 📄 Abstract EGU26-2309: https://lnkd.in/gK_MHgdp #EGU26 

𝗠𝗲𝗲𝘁 𝗗𝗛𝗜 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 𝗮𝘁 𝗘𝗚𝗨 𝟮𝟬𝟮𝟲 We have several colleagues attending the European Geosciences Union (EGU) General Assembly in Vienna, presenting research across hydrology, coasts and ecosystems at the largest geosciences event in Europe. Seen together, these share a common theme: strengthening how data becomes decisions in water systems. Across river basins, wetlands and coastal zones, our work brings together Earth observation, modelling and machine learning. From using SWOT satellite data to inform hydrological models, to improving flood predictions in data-scarce regions and developing new approaches for real-time marine monitoring, the aim is consistent: 𝘁𝗼 𝗺𝗮𝗸𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 𝗺𝗼𝗿𝗲 𝘂𝘀𝗲𝗳𝘂𝗹 𝗶𝗻 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲. Multiple contributions also address a persistent challenge in water management – uncertainty. By combining observations, physics-based models and AI, we are working to improve the reliability of predictions that underpin planning and operations. This is at the core of what we do: bridge the gap between science and practice. Not by developing methods in isolation, but by ensuring they can support better decisions in complex, real-world water systems. If you are also attending #EGU26, we look forward to the discussions.

For hydraulic modellers and coastal engineers working in delta systems, one challenge stands out: capturing how tides, river discharge and backwater effects interact across the river–ocean interface. Observations across this continuum are still sparse, making it difficult to define boundary conditions, validate models and reduce uncertainty in flood risk assessments. Join our webinar to see how the Surface Water and Ocean Topography (𝗦𝗪𝗢𝗧) satellite mission enables continuous water surface elevation profiling across rivers and coasts, supporting better model calibration, validation and integrated analysis in estuarine environments. Participants will: ➡️Understand how continuous SWOT-derived profiles are created using filtering, interpolation and in-situ validation  ➡️See how tidal forcing and river discharge interact along deltas such as the Mekong and Bengal ➡️Identify the extent of tidal influence and backwater effects to improve boundary condition definition  ➡️Apply these observations to strengthen hydraulic model calibration and validation workflows Register today to secure your spot: https://lnkd.in/ggEbnHDD #HydraulicModelling #CoastalEngineering #FloodRisk #EarthObservation #SWOT #WaterResources #Deltas #Webinar #ProfessionalDevelopment

⏳ 𝗘𝗮𝗿𝗹𝘆-𝗯𝗶𝗿𝗱 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗰𝗹𝗼𝘀𝗲𝘀 𝘀𝗼𝗼𝗻 Join one of the largest communities focusing on subsurface modelling.  Secure your early-bird rate before 29 May 2026. 📍 29 September – 2 October 2026  📌 Montreal, Canada  The FEFLOW International User Conference joins the global community for four days of knowledge sharing, hands‑on learning and discussion - from training workshops to expert-led presentations focused on:  • Multiple hydrogeological challenges  • Geothermal applications from shallow to deep  • Mining from mine-water management up to lithium extraction  • Uncertainty quantification, including AI-based applications   • Interoperability between geological modelling and meshing   • And much more on advances in subsurface modelling This event brings together users, researchers and industry experts to exchange practical insights and explore what’s next in groundwater and geothermal modelling.  👉 Early-bird registration closes soon - don’t miss the opportunity to join at a reduced rate.  Register today: https://lnkd.in/eHeHVups 

Modelling wave overtopping along urban waterfronts during severe storms requires resolving tightly coupled wave, water-level and local impact processes.     Overtopping in severe storms is rarely driven by a single process and remains one of the most complex coastal flooding processes to model accurately.    In urban waterfront settings, wave run-up and overtopping can be highly localised, difficult to reproduce and critical to get right.    In a project in France, the challenge was to represent the full flood pathway reliably across the entire exposed waterfront, while matching observed behaviour from camera monitoring and historic storm events.    Using 𝗠𝗜𝗞𝗘 𝟯 𝗪𝗮𝘃𝗲 𝗙𝗠, new functionality was explored to better represent overtopping along defences and coupled wave-water level effects. The model was calibrated against camera monitoring and historic storms, showing good agreement with measured data.    The result was an improved fit to measurements, stronger calibration against historic events and clearer visualisation of storm consequences across the full exposed waterfront, including under future climate conditions.    This provided local authorities with stronger insight for flood assessment and early-warning planning.    When physical complexity demands more than a standard model setup, the right combination of tools and methodology makes the difference.    Learn more about 𝗠𝗜𝗞𝗘 𝟯 𝗪𝗮𝘃𝗲 𝗙𝗠: https://lnkd.in/gt5zGA8j    #WaveOvertopping #CoastalFlooding #CoastalEngineering #HydrodynamicModelling #MIKE3 

𝗪𝗵𝗮𝘁 𝗰𝗮𝗻 𝘄𝗲 𝗱𝗼 𝘄𝗵𝗲𝗻 𝘄𝗮𝘁𝗲𝗿 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗿𝗲 𝗽𝗼𝗼𝗿𝗹𝘆 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗱? DHI colleagues will be on the scene at the European Geosciences Union (EGU) General Assembly next week, the largest and most prominent European geosciences event, attracting thousands of scientists from all over the world. Mónica Coppo Frías will be presenting how new satellite data from the Surface Water and Ocean Topography (𝗦𝗪𝗢𝗧) mission can strengthen hydrological modelling in data-scarce regions. From wetlands in the Usangu basin to the transition between rivers and oceans in major deltas such as the Bengal delta, access to reliable water level observations has long been a limiting factor. SWOT changes this by providing new types of measurements across large spatial scales. For the first time, we can capture river and coastal dynamics together, opening up new possibilities for an improved representation of estuary regions in models. ‘With SWOT, we get observations in places where measurements have traditionally been sparse or unavailable. That allows us to improve how we represent water dynamics in models, which is essential for understanding and managing these systems’, explains Monica Coppo Frias, Industrial PostDoc in Earth Observation Analytics at DHI. The work highlights how Earth observation can help close critical data gaps and strengthen the basis for hydrological analysis. 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝘂𝘀 📍 EGU26 | Vienna 🗓 7 May | 14:45-14:55 (CEST) 📌 Session: Room 3.29/30 📄 Abstract EGU26-13409: https://lnkd.in/gwC_mxPA #EGU26