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.

Join us from 1:15-3:30 on July 31, 2018 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.

Data storage, processing, and sharing for the 2018 CUAHSI NSG for Hydrology Workshop.

Public group for attendees and those who were not able to make it to BYU.

Houses all documents for the 2019 CUAHSI Short Course: The Science and Practice of Operational Ensemble Hydrological Prediction held in May 2019 at NCAR in Boulder, CO.

Group for workshop participants

This workshop will provide participants with background on off-the-shelf components that can serve as effective alternatives to expensive industry-standard water sensors, and benefit from the experience of the OPEnS Lab in building, calibrating, and fact-checking hand-made data loggers. The group for the 2021 Virtual Workshop can be found here: https://www.hydroshare.org/group/192

This is a collaborative space for the 2020 IRES El Salvador Summer Institute participants.

Michigan Technological University (MTU), the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), and Lutheran World Relief (LWR) received support from the National Science Foundation - International Research Experience for Students program to explore agricultural community adaptations to extreme hydrometeorological events in El Salvador. The main program activity of this project is an eight-week International Research Experience in agricultural communities of El Salvador. The Summer 2020 (Year 1) cohort of student participants will focus on understanding issues of water availability, gender and power relationships, root causes of vulnerability within communities, and the installation of hydrometeorological monitoring equipment.

A group to compile workshop materials for the November 2020 Virtual Workshop with Stroud Water Research Center.

This workshop provides participants with background on off-the-shelf components that can serve as effective alternatives to expensive industry-standard water sensors, and benefit from the experience of the OPEnS Lab in building, calibrating, and fact-checking hand-made data loggers. This group contains workshop materials. This workshop was held virtually September 20th, 21st and 22nd, 2021. The group for the 2020 hosting of this workshop can be found here: https://www.hydroshare.org/group/163

A group to compile resources for the September 2022 Workshop at Stroud Water Research Center.

AIMS’ mission is to understand stream intermittency and its implications for downstream water quality, which requires untangling the hydrologic, biogeochemical, and microbiome controls at the interface of terrestrial and aquatic ecosystems. We will develop resources and tools to study intermittent streams, provide training and education in data science, mentor scientists from the undergraduate to the early career level, and generate insights for evidence-based policy making and land management.

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Data and information sharing platform for three working groups: i) Fisheries & Fish Migrations, ii) Andean-Amazon Connectivity, and iii) Floodplains & Natural Flows

The Andean Water Systems Group is led by Dr. Luis Angel Gomez Cunya.

The Aquatic Ecosystem and Water Resources Systems Modeling group is led by Dr. Sarah Null at Utah State University. This group is for students in WATS 6050. We focus on incorporating aquatic / riparian ecosystem or habitat objectives into water resources modeling.

Artificial intelligence group for infrastructure modelling and data management using AI.

This is a group for collecting resources developed and shared by students in BYU CE 534 Hydroinformatics courses through the years. Many of the resources are experimental and are meant to demonstrate proficiency with the use of HydroShare. Some represent research results and other datasets are republished from other sources for educational purposes.

This group is composed of research assistants and researchers in the BYU Hydroinformatics Lab.

This group will be located in the BUPUSA community consisting of 2 groups, BuPuSa Zimbabwe and BuPuSa Mozambique. This will facilitate transboundary data sharing while creating clear contributor pathways.

This group will be located in the BUPUSA community consisting of 2 groups, BuPuSa Zimbabwe and BuPuSa Mozambique. This will facilitate transboundary data sharing while creating clear contributor pathways.

2017 Cohort

Cohort 1 of the USU Climate Adaptation Science program

Group members share water resources systems analysis projects developed through the course.

Anyone can join this group, and any resources shared with this group will be listed and accessible to members. The 2024 CIROH Developers Conference will be held May 29-June 1 in Salt Lake City. https://ciroh.ua.edu/devconference/.

This working group's task is to Develop recommendations for interoperable standards and governance policies and procedures for CIROH’s community developmental version of the NextGen Framework. Develop recommendations for hydrologic model representation across the North American domain. Coordinate with CIROH and other WGs to plan research compute needs.

The task of the CIROH Hydroinformatics group is to Compile recommendations for a CIROH data governance and data sharing policy. Develop recommendations for a data management/sharing strategy for CIROH. Define recommendations for interoperable standards for web app and mobile app development. Develop recommendations for FIM methods nationally.

Group leads:
Dan Ames
Brigham Young University
dan.ames@byu.edu

Belize Lane
Utah State University
belize.lane@usu.edu

Synthesis of forecast design research into recommendations for practice. Develop recommendations for standard methods to enhance data sharing and reproducibility to enhance synthesis and extensibility of the research to impact national scale operations. Develop recommendations for standards/procedures for climate change impact on hydrologic system studies.

The task of this group is to: Develop definition, standards, and guidance for creation and management of CIROH’s prediction system testbed and model evaluation tools.

The Community Surface Dynamics Modeling System (CSDMS) deals with the Earth's surface - the ever-changing, dynamic interface between lithosphere, hydrosphere, cryosphere, and atmosphere. We are a diverse community of experts promoting the modeling of earth surface processes by developing, supporting, and disseminating integrated software modules that predict the movement of fluids, and the flux (production, erosion, transport, and deposition) of sediment and solutes in landscapes and their sedimentary basins.

This group is used to collaborate and share data during the CUAHSI Data Services clinic at the 2019 CSDMS Conference in Boulder, CO. Users can access the two use case HydroShare resources and the example data set.

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

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.

CUAHSI hosts cloud computing services to support education and research in hydrologic sciences. Only members of this group can access CUAHSI's cloud computing services (https://www.cuahsi.org/data-models/compute-services/).

Your membership request is reviewed by CUAHSI staff during EST working hours. To expedite the approval process, please ensure that your HydroShare user profile is complete and up-to-date.

Contact help@cuahsi.org if you have any questions regarding this process.

Happy Computing :)

CUAHSI’s Cyberseminar program enables researchers to circulate their work to the broader community by providing an inexpensive and convenient alternative to in person meetings.

Each cyberseminar series features presentations from experts on a new or timely topic, and all cyberseminars are free and open to the public. Additionally, every presentation is recorded and archived for later viewing.

https://www.cuahsi.org/education/cyberseminars/

This is a repository for members of CUAHSI''s Virtual University Snow Modeling Class, 2019, to save and share code and projects.

students and interested parties

The flow forecasting module is taught by Dr Hilary McMillan at San Diego State University. Group members will gain access to flow and climate data and model scripts.

BCCZO studies how erosion and weathering control Critical Zone architecture and evolution, concentrating on slope, climate, ecosystems, and rock properties. It spans from the Continental Divide (4120 m) in the Front Range of the Rockies to the western edge of the Plains (1480 m). BCCZO is one of ten NSF-supported critical zone observatories.

http://criticalzone.org/boulder/

CCZO integrates human and natural forcings of Earth’s Critical Zones and the sciences of water, mineral, and organic matter cycles. It is located in a region with an environmental history that involves some of the most serious agricultural land and water degradation in North America. CCZO is one of ten NSF-supported critical zone observatories.

http://criticalzone.org/calhoun/

CJCZO focuses on measuring geomorphic, hydrologic, and biogeochemical interactions that drive theory and modeling of Critical Zone evolution. It comprises elevation (climate) gradients on rhyolite, granite and schist in the Santa Catalina Mountains of southern Arizona and the Jemez River basin of northern New Mexico. CJCZO is one of ten NSF-supported critical zone observatories.

http://criticalzone.org/catalina-jemez/

CRBCZO integrates knowledge of water, mineral and carbon cycles to quantify human impact on Critical Zone carbon sequestration - from soils to sea. It is located in the Piedmont and Atlantic Coastal Plain which provides drinking water to a million people in Delaware and Pennsylvania. CRBCZO is one of ten NSF-supported critical zone observatories.

http://criticalzone.org/christina

ERCZO is a multi-disciplinary research collaborative based at the University of California, Berkeley. Our research focus is to explore how biotic and abiotic factors interact in the near-surface environment (from bedrock to tree top) and how these relationships impact environmental processes. ERCZO is one of ten NSF-supported critical zone observatories.
Publication list: https://angelo.berkeley.edu/research/pub-database/

IMLCZO studies the Critical Zone of Intensively Managed Landscapes. These landscapes serve as a cradle for our economic prosperity, but this intense level of change can also contribute to the deterioration of the environment. IMLCZO is one of ten NSF-supported critical zone observatories.

http://criticalzone.org/iml/

LCZO focuses on how Critical Zone processes and water balances differ in tropical landscapes with contrasting bedrock but similar climatic and environmental histories. Our infrastructure, sampling strategy, and data management system include watersheds underlain by granodiorite (GD) and volcaniclastic (VC) bedrock in the natural laboratory of the Luquillo Mountains, Puerto Rico. LCZO is one of ten NSF-supported critical zone observatories.

http://criticalzone.org/luquillo/

Our ten U.S. environmental observatories study Earth's outer skin - where water, atmosphere, ecosystems, and soil, and rock interact.

http://criticalzone.org/national/

RCCZO observes, experiments, and models soil carbon at the intermediate watershed scale. Soil carbon is the largest terrestrial C store but remains a large source of uncertainty in global climate models due to scaling and process understanding. RCCZO is one of ten NSF-supported critical zone observatories.

http://criticalzone.org/reynolds/

SSHCZO emphasizes quantitative prediction of Critical Zone creation and structure, focusing on pathways and rates of water, solutes, and sediments. Our CZO is a forested, first-order catchment on shale bedrock in a temperate climate. Our research spans timescales ranging from the meteorological to the geological. SSHCZO is one of ten NSF-supported critical zone observatories.

http://criticalzone.org/shale-hills/

SSCZO is a platform and program for investigating how the water cycle drives Critical Zone processes, focusing on water balance, nutrient cycling, and weathering. It is based in the southwestern Sierra Nevada with sites ranging from oak savannah to subalpine forest, crossing the rain-snow transition zone. SSCZO is one of ten NSF-supported critical zone observatories.

http://criticalzone.org/sierra/

Scientific questions:
1. What controls regolith thickness across landscapes?
2. How and why do subsurface weathering and porosity vary spatially?
3. How do subsurface properties affect landscape evolution, hydrologic processes, and ecosystem vulnerability?
4. How are processes in the near-surface and deep CZ connected, and which bidirectional couplings between the surface and deep CZ emerge as key controls on CZ structure?

The processes that govern the responses to disturbances are very complex and many traditional research methods are not adapted to disentangling the processes and ecosystem characteristics that make our environment resilient. We use a group of statistical tools that can find patterns in a lot of noise and deal with this complexity (aptly called “complex systems tools"). Our project is called the "Big Data Cluster” because we use these tools on “Big Data”, i.e. existing and newly collected data that have either high volume (a lot of data), high velocity (almost real-time data), variety (very different data types), veracity (data of varying quality) and/or value (data ready for use).

This group will consolidate CINet data for the critical zone network CINET thematic cluster

The Coastal Thematic Cluster will quantify the coupled processes and feedbacks that govern the transformations in the coastal critical zone to understand how shifts in the transition zone translate to changes in cycling, fluxes, and storage of critical elements at the land-sea margin.

We will explore these questions using a comprehensive set of tools including eddy covariance towers, deep CZ drilling, hydrogeophysical surveys, soil and hydrologic sensors, isotopic analysis, synchrotron, geochemical proxies, and genetic sequencing. These efforts build on, and will contribute to, the rich collection of historical data, knowledge, and models at our four primary field sites: the Jornada LTER, the Reynolds Creek CZO, a USDA-ARS site in Kimberly, ID, and irrigated agricultural sites along the Rio Grande valley in Texas.

Dust^2
The emission, transport, and deposition of mineral dust plays a key role in functioning of the critical zone. This is especially true in mountain environments where dust deposition has been shown to alter the pH and chemistry of surface water, contribute to soil formation, deliver important plant available nutrients, and decrease the albedo of snow, causing earlier snowpack melt.

Dynamic Storage Project Goals
Advance understanding of the interactions among dynamic water storage, CZ processes, and water provisioning in the complex physiology of western U.S. montane ecosystems
Explore how dynamic water storage and CZ processes will change under global drivers
Create educational opportunities and resources that are accessible to a diverse student population, including K-12 to postgraduates

We will build on existing capabilities within several former CZOs to investigate the linkages between depth-dependent microbial structure, function, and biotic and abiotic features of the soil environment to better understand the interactions between geomicrobiology and biogeochemistry throughout CZ weathering profiles.

Materials related to the CZnet coordinating hub, from CUAHSI and other CZnet collaborators, may be shared here.

This is a group for the Critical Zone RCN

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

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

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)

***Please request to join this group to get access to the CyberGIS-Jupyter for Water*** (Access is normally granted very quick (10 mins to one business day) if your user profile is complete and up-to-date.)
The CyberGIS-Jupyter for Water platform aims to advance community hydrologic modelling, and support computationally intensive and reproducible hydrologic research by delivering advanced cyberinfrastructure capabilities to broad water science communities through a friendly Jupyter Notebook environment. This HydroShare application has specific support for the Structure For Unifying Multiple Modeling Alternatives (SUMMA) framework and several example notebooks are provided to demonstrate cutting-edge cyberGIS and hydrologic modeling capabilities. This beta release is supported by the CyberGIS Center for Advanced Digital and Spatial Studies at the University of Illinois at Urbana-Champaign as part of the National Science Foundation HydroShare project, and intended to gather broad community feedback leading to a production release.