Find Public Groups


Freshwater is led by the University of Washington with support of the Mountain to Sea Strategic Research Initiative for advancing freshwater research in the Pacific Northwest and the world. ( )

Freshwater researchers create positive change through scientific discovery and technological innovation. This is community resource for education, data and tool sharing for overcoming the global challenges in water quality, resource management, and access.

Nearshore Processes

This group caters to researchers, scientists, and students working in the area of Nearshore Processes.

The nearshore region is the transition zone from land to the open ocean. This region spans drastically different dynamical regimes with varying roles of waves, wind, tides, buoyancy, and morphology. The vulnerability of the coast to sea level rise, extreme storms, and anthropogenic influences is a major societal concern. This group will share observational and model results, and latest work (presentations/posters) related to advancement in the understanding of nearshore processes.

Center for Infrastructure Modeling and Managment

This group is for the Center for Infrastructure Modeling and Management.

Yellowstone and Grand Teton Water Quality Research Group

To collect and process water quality data gathered by BYU professor Dr. Wood Miller, primarily at the Yellowstone and Grand Teton National Parks.

Graduate students at Brigham Young University working with Dr. Wood Miller.


This group was created to publish the results of research conducted as part of or affiliated with the iUTAH project.

iUTAH (innovative Urban Transitions and Aridregion Hydro-sustainability) is an interdisciplinary research and training program aimed at strengthening science for Utah’s water future. iUTAH brings together a network of researchers, universities, governmental agencies, industry partners, and non-profit organizations state-wide.


Evaluate HydroShare

Evaluate the functionality of HydroShare

CAS 2017

For Climate Adaptation Science Students to collaborate.

2017 Cohort

MIT Workshop Students

The purpose of the group is to promote collaboration among graduate students at MIT.

The group includes graduates students of varying backgrounds from MIT.

National Water Center Innovators

Students, faculty and staff participating in the National Water Center (NWC) Summer Institute

The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) supports students in National Water Center (NWC) Summer Institute under the auspices of the NWC’s Innovator’s Program. The Summer Institute provides the opportunity for student research fellows to collaborate on projects designed to contribute to the NWC goals of enhancing water-related products and decision-support services across the country.

The research themes of the 2017 Summer Institute are: Hyper Resolution Simulation in Cities, Flood Inundation Mapping, and Communicating National Water Center Results.

For additional information, visit:

UW Hydro | Computational Hydrology

UW Hydro builds tools to simulate and investigate the terrestrial hydrological cycle.

The UW Hydro | Computational Hydrology group in Civil and Environmental Engineering at the University of Washington builds tools to simulate and investigate the terrestrial hydrological cycle and uses these tools for a wide range of hydrologic research projects.

UCGIS Summer School 2017

To share material for the UCGIS Summer School

Material for the UCGIS Summer School 2017


Consortium of Universities for the Advancement of Hydrologic Sciences

Founded in 2001, the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is a 501(c)3 research organization representing more than 130 U.S. universities and international water science-related organizations. CUAHSI receives support from the National Science Foundation (NSF) to develop infrastructure and services for the advancement of water science in the United States.

Our Mission is to shape the future of hydrologic science by:

- Strengthening multidisciplinary collaboration
- Developing and operating research infrastructure
- Promoting water education and training

HENSCI Pathways Group

Group for sharing content at the CUAHSI workshop on Advancing Hydrologic Science through Cyberinfrastructure: Lessons Learned and Paths Forward.

Researchers working on Hydrologic and Environmental Science Cyberinfrastructure. Users and Developers.


This is editable

This is editable

2016 CUAHSI Biennial Symposium Workshop

Group for attendees at the 2016 CUAHSI Biennial Symposium to access and share materials used in the workshop and to explore HydroShare collaboration Functionality

Join us from 1:30-3:30 on July 26, 2016 at the CUAHSI biennial symposium in Shepherdstown, WV to learn how CUAHSI’s data access and analysis tools can be incorporated into your teaching and research. During the first half the workshop, participants will learn how to discover and download data from the CUAHSI Water Data Center using CUAHSI’s web application HydroClient and how to analyze data using the WaterML R Package. Workshop participants will be asked to provide feedback on these tools, and CUAHSI staff will explain how such feedback is incorporated into the development process, as well as how one can become more involved in guiding development choices.

The second half of the workshop will introduce HydroShare. HydroShare is a platform for data publication and collaboration for users to share multiple hydrologic data types, analytical tools, and models. During this portion of the workshop, participants will learn how to use HydroShare to:
(1) Upload, share and publish science products in HydroShare and receive a citable digital object identifier (DOI). This helps fulfill NSF’s data management requirements.
(2) Use HydroShare for collaboration, sharing data and models with individual users or a group,
(3) Organize resources into collections in HydroShare,
(4) Use the HydroShare GIS app to visualize and create web maps using content in HydroShare,
(5) Use the CyberGIS TauDEM app to perform web based digital elevation model hydrologic terrain analysis.


The HydroGrid group is led by Dr. Lilit Yeghiazarian at the University of Cincinnati. We study water systems as multi-layer networks that encompass built and natural environments. We develop technologies for real-time monitoring, analysis and control of water-related processes with current focus on water quality and sustainability.

Olin Scope CUAHSI

Communication space for team

Group for those collaborating on Olin's SCOPE project

CAS Spring 2017

Cohort 1 of the USU Climate Adaptation Science program

Puerto Rico Water Studies

Collaborative research and public data distribution in the aftermath of Hurricane Maria

This group distributes public data for the research and education on water systems in Puerto Rico. Our aim is to build infrastructure to prevent disasters like Hurricane Maria.

CUAHSI 2017 Hurricane Data Community

To share data from Hurricanes Harvey, Irma and Maria that impacted the US and Caribbean region in 2017.

Following Hurricanes Harvey, Irma and Maria that had significant impacts to parts of the US and islands in the Caribbean there has been much activity to assemble, document and archive data from these events. This data is intended to support research to improve our understanding of and capability to prepare for and respond to such extreme events in the future. This group has been created as a community within HydroShare for users interested in these data archives. This is open for anyone to join. Anyone who joins can share data (HydroShare resources) with this group. Sharing resources with this group makes them accessible to group members and includes them on list of resources shared with this group. This group serves as an overarching organizational collection, listing and discovery vehicle for any community contributed data on any aspect of these Hurricanes.

Contaminant Hydrology

We study the fate and transport of organic and inorganic contaminant in groundwater using integrated experimental, numerical and data based modeling.

Group members- Dr. B K Yadav (IIT Roorkee, India), Dr. Shashi Mathur (IIT Delhi, India), Dr. Sudheer Ch. (Moef and CC India), Dr. Basant Yadav (IISc Bangalore)

Computational Hydro Lab at Syracuse University

Data storage and sharing for members of the Computational Hydro Lab at Syracuse University

Data storage and sharing for members of the Computational Hydro Lab at Syracuse University

Water Science Lab at Syracuse University

Data sharing for faculty, students, and staff studying water science topics in Earth Sciences at Syracuse University.

Data sharing for faculty, students, and staff studying water science topics in Earth Sciences at Syracuse University.

TRWD/TRVA Water Quality Modeling

Test functionality of hydroshare for collaboration

Share and collaborate on water quality related modeling and management activities for the Tarrant Regional Water District and the Trinity River Vision Authority related to the Trinity River in downtown Fort Worth, Texas

Improving the theoretical underpinnings of hydrologic models - Sopron 2018

This group is for attendees at the workshop on "improving the theoretical underpinnings of hydrologic models" held in Sopron Hungary, April 15-18, 2018 to share workshop related resources and collaborate during and after the workshop.

This workshop is the second workshop organized in the framework of Improving the Theoretical Underpinnings of Hydrologic Models initiative, following the first successful workshop held in Bertinoro (Italy) in April 2016 to launch the community initiative. This follow-up workshop in Sopron (Hungary) is organised to consolidate progress since the last workshop, showcase new and innovative research and bring hydrologists together to accelerate progress on the development of a long-term strategy for a more systematic development and testing of hydrological models. More details on the workshop can be found in the first circular in the attachment.

The initiative is driven by five main research questions:

1. What are major theories that should guide hydrologic model development?

2. How can we represent small-scale processes that combine to produce large-scale fluxes (emergent behavior, spacetime scaling) in a consistent way?

3. How can we make use of optimality principles (or ecological and landscape evolution principles) to constrain model behavior? Are such principles useful when dealing with anthropogenic interactions?

4. How can we reflect the structure of the landscape in the structure of models?

5. How can we develop a rigorous approach to evaluate and select among competing theories and algorithms in presence of highly uncertain observation data?

IWRSS Model Registry

Interagency effort: US Army Corps of Engineers, National Weather Service, US Geological Survey, Federal Emergency Management Agency

Integrated Water Resources Science and Services


Scientists building model experiments to study earth surface dynamics across scales. Find us also at

Landlab is a Python-based modeling environment that allows scientists and students to build numerical landscape models. Designed for disciplines that quantify earth surface dynamics such as geomorphology, hydrology, glaciology, and stratigraphy, it can also be used in related fields.