AGU H005: Advancing Capabilities for Hydrology Community Model and Data Infrastructure

[Martyn Clark]

Hi everyone,

Recognizing that the biggest challenges in hydrology can no longer be solved by isolated models or datasets, we are convening an AGU session “H005 - Advancing Capabilities for Hydrology Community Model and Data Infrastructure” (https://agu.confex.com/agu/agu26/prelim.cgi/Session/280206) to advance community models, interoperable software, open data systems, reproducible workflows, and scalable computational infrastructure for the next generation of hydrologic science. As we celebrate the 25th anniversary of CUAHSI, we particularly welcome contributions that reflect the spirit of open collaboration, shared cyberinfrastructure, and community innovation that has helped transform hydrologic research.

 

Session description

Advances in hydrologic science depend on robust community cyberinfrastructure that integrates models, workflows, data repositories, and computational resources. This session invites contributions that advance, evaluate, or apply community models and data infrastructure for hydrology, with an emphasis on interoperability, reproducibility, scalable computation, and broad community adoption. This year we celebrate the 25th anniversary of the founding of CUAHSI. We welcome presentations that relate to the design, implementation, and use of open hydrologic cyberinfrastructure systems; community modeling frameworks; data discovery and sharing platforms in the spirit of unselfish collaboration in research advocated by AGU and CUAHSI. This session aims to bring together developers, users, and stakeholders to identify emerging needs and best practices for the next generation of hydrologic cyberinfrastructure.

 

If you are a user or developer of hydrologic cyberinfrastructure systems; community modeling frameworks; data discovery and sharing platforms; and integrated model–data workflows that support research, education, and operational hydrology consider sharing your work in this session. Topics we are interested in, include, but are not limited to, cloud‑enabled data platforms, model coupling frameworks, workflow automation methods, Findable, Accessible, Interoperable and Reusable (FAIR) data practices, Reproducibility, Uncertainty and Provenance tracking, and cyberinfrastructure that spans hydro‑climatic scales from local catchments to continental domains. We are particularly interested in contributions that demonstrate community use, cross‑platform integration, and lessons learned from sustaining of hydrologic cyberinfrastructure.  Case studies connecting models and data systems are especially welcome, as are perspectives on governance, sustainability, training, and workforce development.

Cheers,
Martyn (on behalf of other convenors Dave Tarboton, Laura Condon, and Jordan Read)