H44E:
Transforming Hydrologic Prediction and Decision Making: Intelligent Decision Making V

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Session ID#: 16915

Session Description:
Hydrology is increasingly collaborative.  Addressing the big problems of hydrology requires integration of information from multiple sources, data sharing and publication, and the marshalling of computational resources to support data intensive modeling and analysis.  Cloud and grid computing systems are increasingly used to crunch data too big for desktop platforms, but access to, and the ability to use such systems remains a challenge.  We seek contributions of work that has advanced hydrologic understanding that would not have been possible without large data and modeling cyberinfrastructure and that also involved collaboration.  We also seek contributions on the advancement of cyberinfrastructure to support data intensive collaborative hydrologic science and the use of such systems to address wicked challenges in transparent and reproducible ways to strengthen trust in research outcomes.
Primary Convener:  Dr. Velimir monty V Vesselinov, Los Alamos National Laboratory, Los Alamos, NM, United States
Conveners:  Alexander Y Sun, University of Texas at Austin, Bureau of Economic Geology, Austin, United States, Christa Kelleher, Syracuse University, Syracuse, NY, United States and Roy Rasmussen, University Corporation for Atmospheric Research, Boulder, CO, United States
Chairs:  Dr. Velimir monty V Vesselinov, Los Alamos National Laboratory, Los Alamos, NM, United States and Christa Kelleher, Syracuse University, Syracuse, NY, United States
OSPA Liaison:  Suzanne A Pierce, Texas Advanced Computing Center, Austin, TX, United States

Cross-Listed:
  • IN - Earth and Space Science Informatics
Index Terms:

1805 Computational hydrology [HYDROLOGY]
1819 Geographic Information Systems (GIS) [HYDROLOGY]
1916 Data and information discovery [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]

Abstracts Submitted to this Session:

Water Management Effects on the Water Cycle (Invited) (124087)
Matthew Rodell1, Joseph A Santanello Jr2, Sujay V Kumar1, Hiroko K Kato-Beaudoing3 and James S. Famiglietti4, (1)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Code 617, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (3)NASA GSFC HSL (ESSIC University of Maryland), Greenbelt, MD, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Watermark: An Application and Methodology and Application for Interactive and intelligent Decision Support for Groundwater Systems (Invited) (124476)
Suzanne A Pierce1, Kevin Wagner2, Suzanne Schwartz3 and JOHN N Gentle Jr1, (1)Texas Advanced Computing Center, Austin, TX, United States, (2)Texas A&M University College Station, Texas Water Resources Institute, College Station, TX, United States, (3)University of Texas at Austin, Center for Public Policy Dispute Resolution, Texas Law School, Austin, TX, United States
Predicting long-term performance of engineered geologic carbon dioxide storage systems to inform decisions amidst uncertainty (Invited) (139493)
Rajesh Pawar, Los Alamos National Laboratory, Earth & Environmental Sciences Division, Los Alamos, United States
Intelligent Decisions Need Intelligent Choice of Models and Data - a Bayesian Justifiability Analysis for Models with Vastly Different Complexity (130525)
Wolfgang Nowak, University of Stuttgart, Department of Stochastic Simulation and Safety Research for Hydrosystems (IWS/SC SimTech), Stuttgart, Germany, Anneli Guthke, University of Tübingen, Tübingen, Germany, Thomas Wöhling, Dresden University of Technology, Chair of Hydrology, Dresden, Germany and Walter A Illman, University of Waterloo, Department of Earth & Environmental Sciences, Waterloo, ON, Canada
Groundwater Remediation using Bayesian Information-Gap Decision Theory (185087)
Daniel O'Malley, Los Alamos National Laboratory, Computational Earth Sciences, Los Alamos, NM, United States and Dr. Velimir monty V Vesselinov, Los Alamos National Laboratory, Los Alamos, NM, United States
Development of an Intelligent Monitoring System for Geological Carbon Sequestration (GCS) Systems (141391)
Alexander Y Sun1, Hoonyoung Jeong2, Weijia Xu2, Susan D Hovorka1, Tieyuan Zhu2, Thomas Templeton2 and David K Arctur2, (1)University of Texas at Austin, Bureau of Economic Geology, Austin, United States, (2)University of Texas at Austin, Austin, TX, United States
Parameter Estimation for Geoscience Applications Using a Measure-Theoretic Approach (178147)
Clint Dawson, University of Texas at Austin, Institute for Computational Engineering and Sciences, Department of Aerospace Engineering and Engineering Mechanics, Austin, TX, United States, Troy Butler, University of Colorado Denver, Denver, CO, United States, Steven Andrew Mattis, University of Texas at Austin, Austin, TX, United States, Lindley Graham, Florida State University, Tallahassee, FL, United States, Joannes J Westerink, University of Notre Dame, Department of Civil and Environmental Engineering and Earth Sciences, Notre Dame, IN, United States, Dr. Velimir monty V Vesselinov, Los Alamos National Laboratory, Los Alamos, NM, United States and Don Estep, Colorado State University, Fort Collins, CO, United States
Value of Information Analysis for Time-lapse Seismic Data by Simulation-Regression (141652)
Geetartha Dutta, Stanford University, Stanford, CA, United States, Tapan Mukerji, Stanford University, Department of Energy Science and Engineering; Department of Earth and Planetary Sciences; Department of Geophysics, Stanford, United States and Jo Eidsvik, Norwegian University of Science and Technology, Trondheim, Norway

See more of: Hydrology