CUAHSI is hosting a conference on Hydrologic Data and Information Systems. This will showcase the scientific progress enabled through the use of advanced information and data management systems. We welcome contributed presentations of your work on or related to data management in hydrology. The conference will also showcase the CUAHSI Hydrologic Information System (HIS), a web-based system for sharing hydrologic data.
Confirmed Invited and Keynote Speakers
- Eva Zanzerkia — National Science Foundation, NSF Cyberinfrastructure programs related to hydrologic information and data management
- William Michener — University of New Mexico, The Data Observation Network for Earth (DataONE)
- Mark Schildhauer — National Center for Ecological Analysis and Synthesis, Scientific Observations Network (SONet)
- Ralf Kunkel — Forschungszentrum Juelich (Helmholz Institute), TERENO data management system
- Mark Williams — University of Colorado at Boulder, Integrated data management in Critical Zone Observatories
- Antonio Parodi — CIMA Foundation, Italy, European Distributed Research Infrastructure for Hydro-Meteorology
- Christopher Duffy — Penn State University, Integration of Observations and Modeling
- Larry Murdoch — Clemson University, Dataset development in support of community hydrologic modeling
The conference will comprise plenary and concurrent sessions of invited and contributed talks and posters organized according to the themes given below. Depending upon contributions received there may be multiple sessions related to a single theme, or themes may be combined into a single session. The conference will also include training workshops on use of the CUAHSI HIS and a series of "Dr's Office" sessions for one-on-one questions on aspects of CUAHSI HIS.
Themes for Plenary and Concurrent Sessions
- Data publication
- Science Enabled byData and Information Systems
- Accessing Data FromService-Oriented Architectures
- NSF Data ManagementPlans and Scientific Data Management
- Data and Information Systems in Hydrologic Education
- Ontologies and Controlled Vocabularies in Hydrologic Information Systems
- Data and Information Systems in Hydrologic Modeling
- General Hydrologic Information Systems
- Data Search and Discovery with HydroDesktop
- Building and Running Model Workflows with HydroModeler
- Publishing Data using HydroServer
- Developing Custom Tools for HydroDesktop
- Developing Custom Model Components for HydroModeler
- Researchers—science enabled by hydrologic data and information systems
- Educators—uses of hydrologic data and HIS software tools for teaching
- Modelers—coupling models and data from multiple sources using HIS and related systems
- Data Publishers—organizing, storing, and making data available to others
- Developers—create tools for data publication, access, visualization, analysis and modeling
- Learn from the Experts about HIS, WaterML, HydroServer and HydroDesktop
- Share your work with Information Systems and Large Scale Data Sets
- Share your use of Hydrologic Data forTeaching
- Interact with other Users and Developers
- Share your work linking Data and Modeling
- Show Science enabled by HIS
- Experience numerous Hand-on Workshops
- Contribute to the Future of HIS in the Open Source domain
For more info, contact:
Email: david.tarboton<at symbol>usu.edu
Phone: +1 (435) 797 3172
The National Science Foundation (NSF) is the funding source for approximately 20 percent of all federally supported basic research conducted by America's colleges and universities, and provides major funding for CUAHSI, the HIS project, and this conference.
Water, Air Quality, and Energy are our basic resources. Economic globalization and developing countries make their efficient use the key challenge of our and future generations. The management and utilization of very large time series data volumes play a key role in the successful achievement of this goal, today and tomorrow.
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CUAHSI's Hydrologic Information System (CUAHSI-HIS) is an internet-based system for sharing hydrologic data. It is comprised of databases and servers, connected through web services, to client applications, allowing for the publication of, discovery of and access to data.
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