Posted Nov 9, 2022
Collecting, managing and analyzing high temporal (sub-minute) resolution residential water use data is challenging due to lack of existing tools, yet doing so enables better understanding of water use behavior that can help improve urban water management and planning by allowing direct identification of water appliances characteristics. This month's entry to the Hydroinformatics Blog presents low-cost, open-source tools designed to facilitate collection and analysis of this type of data.
Posted Sep 14, 2022
Models are an integral part of hydrologic research and investigation. Over the past few years, we have made efforts to develop and implement solutions that allow graduate students to use a research hydrological model as part of their coursework. This setup has allowed us to introduce graduate students to research hydrological models and to perform meaningful model experiments.
Posted Jul 13, 2022
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.
Hydroinformatics Blog - HydroLang: An Open-Source Web-Based Framework for Environmental and Hydrological Analyses
Posted Jun 8, 2022
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.
Posted Jun 3, 2022
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.
Posted May 11, 2022
RHESSys is a hydro-ecologic model that has been used in a wide range of modeling applications.
Hydroinformatics Blog - Flood Analytics Information System (FAIS): A National Scale Big Data Engineering and Gathering Pipeline To Improve Flood Situational Awareness
Posted Apr 13, 2022
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.
Posted Apr 12, 2022
Interested in river corridors, watersheds, biogeochemistry, and/or open science? If so, consider joining a new crowdsourced sampling campaign across the U.S. The samples focus on river water and sediment.
Posted Apr 6, 2022
TUSCALOOSA, Ala. — With transformative support of up to $360 million over the next five years from the federal government, The University of Alabama is poised to become a standard bearer in translating water research into operations that improve the nation’s ability to predict water-related hazards and effectively manage water resources.
Posted Mar 31, 2022
We are so excited to share our new and enhanced CUAHSI Website with you! We have been working hard to build a platform that better promotes the CUAHSI brand and makes it easier to learn about our programs and services.