H33Q:
Transforming Hydrologic Prediction and Decision Making: Integrated Modeling and Management I

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Session ID#: 16920

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:  Suzanne A Pierce, Texas Advanced Computing Center, Austin, TX, United States
Conveners:  Petrus J J van Oevelen, Universities Space Research Association Columbia, Columbia, MD, United States, Daniel P Ames, Brigham Young University, Civil and Construction Engineering, Provo, United States and Daniel P Loucks, Cornell University, Ithaca, NY, United States
Chairs:  Anthony John Jakeman, Australian National University, Canberra, ACT, Australia and Petrus J J van Oevelen, Universities Space Research Association Columbia, Columbia, MD, 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:

Knowledge Co-production Strategies for Water Resources Modeling and Decision Making (Invited) (135833)
Patricia Gober, Arizona State University, School of Geographical Sciences and Urban Planning, Tempe, AZ, United States
Purpose, Processes, Partnerships, and Products: 4Ps to advance Participatory Socio-Environmental Modeling (170202)
Steven Gray Gray, Michigan State University, East Lansing, MI, United States, Alexey A. Voinov, University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, Netherlands, Rebecca Jordan, Rutgers University New Brunswick, Departments of Human Ecology & Ecology, Evolution, and Natural Resources, New Brunswick, NJ, United States and Michael Paolisso, University of Maryland College Park, College Park, MD, United States
A Bottom-up Vulnerability Analysis of Water Systems with Decentralized Decision Making and Demographic Shifts– the Case of Jordan. (193268)
Thibaut Lachaut1, Jim Yoon2, Christian J. A. Klassert3, Samer Talozi4, Daanish Mustafa5, Stephen Knox6, Philip David Selby6, Yazan Haddad4, Steven M. Gorelick7 and Amaury Tilmant8, (1)Laval University, Civil and Water Engineering, Quebec City, QC, Canada, (2)Stanford University, Earth System Science, Stanford, CA, United States, (3)University of Leipzig, Chair of Economics / Institutional Environmental Economics, Leipzig, Germany, (4)Jordan University of Science and Technology, Civil Engineering, Irbid, Jordan, (5)King's College London, London, United Kingdom, (6)University of Manchester, School of Mechanical, Aerospace and Civil Engineering, Manchester, United Kingdom, (7)Stanford University, Earth System Science, Stanford, United States, (8)Organization Not Listed, Washington, DC, United States
The necessary burden of involving stakeholders in agent-based modelling for education and decision-making (196026)
Pierre Bommel1, Pável Bautista Solís2 and Gregoire Leclerc1, (1)CIRAD Montpellier, GREEN, Montpellier Cedex 05, France, (2)Tropical Agricultural Research and Higher Education Center, Climate Change and Watersheds, Turrialba, Costa Rica
Internet of People: Opportunities and challenges for engaging stakeholders in watershed planning via the Web (199797)
Meghna Babbar-Sebens, Oregon State University, Corvallis, OR, United States
Characterizing urban hydrodynamic models in densely settled river-corridors: Lessons from Jakarta (Invited) (155691)
Kashif Shaad1,2, Yazid Ninsalam3, Rita Padawangi3 and Paolo Burlando4, (1)Conservation International, Moore Center for Science, Arlington, VA, United States, (2)ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland, (3)National University of Singapore, Singapore, Singapore, (4)ETH Swiss Federal Institute of Technology Zurich, Instituteof Environmental Engineering, Zurich, Switzerland
Hydrologic Geospatial Fabric as Community Cyberinfrastructure: International standardization best practices and the U.S. Open Water Data Initiative implementation. (196406)
David L Blodgett, USGS Headquarters, Reston, VA, United States
Model Analysis of Complex Systems Behavior using MADS (132274)
Dr. Velimir monty V Vesselinov, Los Alamos National Laboratory, Los Alamos, NM, United States and Daniel O'Malley, Los Alamos National Laboratory, Computational Earth Sciences (EES-16), Los Alamos, NM, United States

See more of: Hydrology