Originally supported by the National Science Foundation in 2008, HydroLearn is a platform and pedagogical model that integrates best practices in course design into workshops and hackathons to train hydrology educators and produce high-quality open online resources. The platform already contains over 60 peer-reviewed modules co-created by past HydroLearn fellows on a wide range of topics.
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CUAHSI — Community Statement | April 2026
In early April 2026, we experienced a data loss incident in our JupyterHub system. This does not affect data stored in the HydroShare data repository, only data within sandboxed JupyterHub instances. In an effort to be fully transparent about what occurred, we’re providing a brief summary of the event, changes we’ve made to our maintenance practices, as a reminder of how to best manage your scientific data.
As WaterSoftHack enters its third year, CUAHSI had the opportunity to connect with a few of last year's fellows, including one returning participant and two first-time attendees, to hear about their experiences. Fellows shared what drew them to the workshop, the skills and training they gained, and how they plan to apply these methods in their research. They also reflected on the collaborative opportunities the workshop provided and how it has helped expand their networks within the water science community.
CUAHSI Board members are shaping the future of hydrologic science. This month, we spotlight Tao Wen, a newly elected board member whose research bridges hydrology, geochemistry, and data science to uncover how water and solutes move through Earth systems.
CUAHSI Board members are shaping the future of hydrologic science. This section highlights their research, projects, and impact. This month, we spotlight Marco P. Maneta, one of our newly elected board members. Marco shares his professional path from academia into the private sector.
Punwath Prun, a CUAHSI HydroInformatics Innovation Fellowship (HIF) awardee, shares his research on tracking global water quality changes in coastal rivers and estuaries using Landsat satellite data. The HIF enabled him to develop a harmonization algorithm and create the first global coastal surface reflectance database, which led to a NASA FINESST24 award and opportunities to present his findings at major conferences including AGU and ASLO.
Masoumeh Hashemi, Graduate Research Assistant, Plants, Soils & Climate Department, S.J. & Jessie E. Quinney College of Agriculture & Natural Resources, Utah State University
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