CUAHSI’s multidisciplinary community consists of students, educators, researchers, volunteer scientists, outreach coordinators, environmental and watershed organizations, and corporate entities. Our goal is for all who are involved in water science, water-resources management or water-resources protection and enhancement to find a place in the CUAHSI community.
The Critical Zone Collaborative Network
CUAHSI is the Coordinating Hub for the Critical Zone Collaborative Network (CZNet), the next phase of NSF’s Critical Zone research program. The CZNet is comprised of nine Thematic Clusters with a wide range of geological, climatic, and land use settings that provide an opportunity to better understand the critical zone. CUAHSI's CZ Hub activities enhance existing CUAHSI water data services, broaden the CUAHSI community, and build on CUAHSI's strengths of education and community support.
CUAHSI’s membership includes more than 130 U.S universities, colleges, non-profit organizations, and international affiliates who recognize the need for interdisciplinary collaboration and innovative thinking to advance water science and solve society’s most pressing water issues. CUAHSI’s member representatives guide the direction of CUAHSI by electing the Board of Directors, voting on important business items, and sharing CUAHSI information within their organization.
The latest NOAA National Water Model retrospective is a 42-year, >100 TB compendium of meteorological, land surface, and hydrologic states and fluxes across the Contiguous U.S. I've rounded up a handful of great example workflows for how to probe this rich data resource to help answer your looming scientific questions.
HydroLang, an open-source and integrated community-driven computational web framework for hydrology and water resources research and education. HydroLang employs client-side web technologies and standards to carry out various routines aimed at acquiring, managing, transforming, analyzing, and visualizing hydrological datasets.
A recent publication in the Journal of the American Water Resources Association that outlines opportunities to improve access, use, and sharing of water-use data.
The Internet of Things (IoT) and big data infrastructure are the emerging network and information technologies that can comprehend automatic monitoring and facilitate data engineering and problem-solving particularly for flood informatics research. By using these techniques, a national-scale Flood Analytics Information System (FAIS) is developed to advance and drive the next generation of flood informatics research and innovation.
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Take part in this open workshop! CUAHSI invites data managers, PIs, and graduate students, every Wednesday at 3pm, to collaborate on the creation of data best practices. Community data best practices should reflect the input and practices of users, and reflect the data needs of a broad range of water science researchers.
This virtual event will be relevant for many career stages, whether you are a student seeking job opportunity information or a professional interested in switching to a non-academic job related to water.