News
Hydroinformatics Blog - A framework for conducting environmentally-responsible hydroinformatics research
Posted Jul 11, 2023
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.
2023 CUAHSI Biennial
Posted Jun 22, 2023
2023 CUAHSI Biennial Recap
CUAHSI would like to thank everyone who participated in the 2023 Biennial Colloquium, held from June 11-14 at the Granlibakken Resort in Tahoe City, CA.
Hydroinformatics Blog - Classifying NHDPlus catchments based on drought propagation mechanism
Posted Jun 6, 2023
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.
Hydroinformatics Blog - A Case for Open Source-based Digital Water Systems
Posted May 10, 2023
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.
April e-Newsletter
Posted Apr 13, 2023
The CUAHSI April e-Newsletter came out today! Be sure to read on for more details about announcements, upcoming events and opportunities!
Hydroinformatics Blog - Monitor My Watershed Helps Lower Barriers for Real-time Data Sharing
Posted Jan 10, 2023
The Monitor My Watershed Data Sharing Portal evolved from work by the CUAHSI community for managing environmental data with the Observations Data Model. Monitor My Watershed accepts real-time sensor data and other observation types and provides data visualization and connection with CUAHSI’s HIS. Adoption and use of Monitor My Watershed is growing rapidly partly due to the extensive training resources for DIY hardware
Hydroinformatics Blog - Arc Hydro’s WIM: A Machine Learning Framework for Wetland Identification
Posted Dec 7, 2022
Arc Hydro’s Wetland Identification Model (WIM) is an automated framework for identifying wetlands using machine learning. Its baseline functionality infers wetland likelihood from geomorphologic indicators, but WIM can be configured and extended for your use case. WIM continues to be developed and improved as we gather feedback from users and collaborators in the wetland science community. Our goal is to build a tool that helps that community achieve its goal of better, faster, cheaper wetland mapping.
Hydroinformatics Blog - Advancing Technology for Understanding Residential Water Use
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.
Hydroinformatics Blog - Running research models for hands-on hydrology education
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.
Hydroinformatics Blog - Big Data Dreaming! A 42-Year CONUS Hydrologic Retrospective
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.