News

From Data to Discovery – Exploring Hydrological Processes: Join Our Experts at EGU 2026

DIWA session at EGU

Water is at the heart of every ecosystem, city, and community, yet understanding its complex behavior remains a challenge. At EGU 2026, a session led by our own experts will explore how data-driven approaches are transforming hydrology, offering new insights into both natural processes and digital water management.

The session, “Data-driven insight into hydrological processes and hydrologic digitization”, will take place on Wednesday, the 6th of May. The session is convened by Associate Professor Hannu Marttila and co-convened by Eliisa Lotsari, Liz Carter & Jan Olsman, who are driving innovative research in hydrologic measurement and modeling, remote sensing, and digital water solutions at watershed and river reach scale. Attendees will gain a deeper understanding of how integrating big data, machine learning, and modern computational tools is revolutionizing the study of water systems.

Whether you are a hydrologist or an environmental scientist, an early career or senior scientist, and interested in cutting-edge water research, this session provides a unique opportunity to engage with leading experts, ask questions, and explore practical applications of hydrologic digitization. The Oral presentations and posters will cover hydrological, geomorphological, and water quality change detection from different watersheds, with the help of a variety of digital solutions from machine learning to remote sensing and continuous data logging at natural and human-impacted water systems.

Don’t miss this chance to connect with our DIWA team and explore the future of water research. We look forward to engaging conversations, fresh perspectives, and new collaborations that will continue driving hydrological science toward smarter, more resilient water management. Learn more about the session and view the full schedule here: EGU Session Link.

31.3.2026

Share the Post:

Related Posts

Reading a watershed like a video

Seyed Hossein Hosseini, Aalto University, seyed.h.hosseini@aalto.fi For decades, rainfall-runoff modeling was a task of fitting equations. You had a storm on one end, a hydrograph on the other, and the model’s job was to connect them using parameters calibrated from observations. Deep learning changed this. It is a family of

PhD Pilot Blog Jonna Tauriainen

Aquatic Microbes: Friend or Foe?

Jonna Tauriainen, University of Oulu. jonna.tauriainen@oulu.fi Most of us are familiar with phrases like “bacteria are found everywhere.” Indeed, they can be found from the highest mountain tops to deep within the soil. But why are they everywhere, and what exactly do they do? And what about water—are microbes present