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.
Water resources management by Indigenous Peoples in the U.S. is a complex issue hindered by the lack of reliable and accessible high-quality databases. To address this challenge, we have initiated a research project to evaluate the availability of water-related databases for reservation lands in the U.S. The project focuses on the discoverability and reusability assessment of these databases in terms of both water quality and quantity variables with the goal of environmental justice for Indigenous communities.
The Environmental Responsibility 5-R Framework provides researchers across disciplines with a valuable toolbox for critically evaluating and mitigating the environmental impacts of their work. This framework provides actionable methods to this end by providing resources for incorporating data and computational costs into their research recognition, refining research questions through open-source data platforms, and optimizing codes for minimal resource usage. With the 5-R Framework in practice, we believe that scientists can pursue environmentally responsible practices while leveraging the power of data science and informatics.
Understanding the driving mechanisms of droughts is critical for reducing and minimizing their impact. In this blog post, we employ a deep learning algorithm to predict the drought propagation mechanism over CONUS based hydrocliamte characteristics of NHDPlus catchments. We use HyRiver to retrieve and process the required input data including climate time series and catchment attributes and PyTorch Tabular to predict the drought propagation mechanisms.
Digital transformation stands to transform the operation and design of urban water networks. However, fundamental socio-technical knowledge gaps must be answered before these systems become commonplace. In this post, I make a case that open-source philosophy can help address some of these challenges and create accessible and equitable digital water technologies.
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The Water Science Conference (WaterSciCon) brings the water community together every two years to share research, collaborate, and plan for the future. WaterSciCon 2024 will be held the week of 23 June 2024 in St. Paul, Minnesota.
2023 Navigating Academic Waters Series with AGU H3S: Finding your Niche. All early career hydrologists (ECR) have a personal brand. The question is, how well developed it is, and does it align with their personal and professional goals? Through a moderated panel discussion with researchers that have well-developed personal brands, we will define what a personal brand is and explain why it matters. We will also identify multiple strategies to help ECRs craft, build, and develop the personal brand that they desire.