Allied for Water Science

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.

RHESSys is a hydro-ecologic model that has been used in a wide range of modeling applications.

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.

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.