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Moving Hydrologic Prediction Forward — A software integration meeting at the Alabama Water Institute

· 10 min read
Martyn Clark
Professor of Hydrology at University of Calgary
James Halgren
Assistant Director of Science
Matthew Denno
Senior Engineering Applications Developer at RTI International
Arpita Patel
Assistant Director of DevOps and IT
Josh Cunningham
Software Engineer
Quinn Lee
Programmer Analyst
Sam Lamont
Environmental Applications Developer at RTI International
Darri Eythorsson
Postdoctoral Researcher at University of Calgary
Cyril Thebault
Postdoctoral Associate at University of Calgary
Sifan A. Koriche
Research [Hydrologic] Scientist
Group photo from the software integration meeting at the Alabama Water Institute

Last week, at the invitation and expert coordination of James Halgren, teams from RTI International (Sam Lamont and Matt Denno) and the University of Calgary (Darri Eythorsson, Cyril Thebault, and Martyn Clark) met at AWI for an intensive working session focused on weaving recent CIROH research into AWI’s fork of the NOAA Office of Water Prediction (OWP) Next Generation Water Resources Modeling Framework (nicknamed “NextGen”). James took the lead in developing the agenda, lining up the right scientific and technical expertise and ensuring that the week targeted the most critical software integration challenges. Throughout the visit, the RTI and UCalgary teams collaborated closely with AWI software engineers Quinn Lee, Josh Cunningham, hydrologic scientist Sifan A. Koriche, and James himself. The days were filled with whiteboards, deep technical conversations, and strategic planning around the future of NextGen water prediction. This recap captures the key themes and the momentum that carried through the week.

Community NextGen Updates

· 3 min read
Arpita Patel
DevOps Manager and Enterprise Architect

The Community NextGen framework has seen significant advancements in November 2024, with major updates across multiple components and exciting new resources for users. Let's dive into the key developments that are making hydrologic modeling more accessible and powerful than ever.