H34E:
Transforming Hydrologic Prediction and Decision Making: Uncertainty II

Submit an Abstract to this Session Please know the abstract submission deadline has passed. There are no exceptions to this deadline and no new abstracts can be submitted.
You can still search the program to see your colleague�s abstract submissions as well as the sessions submitted for the 2016 Fall Meeting. The final program will be released in early October.


Session ID#: 16925

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:  Prof. Albert Kettner, University of Colorado at Boulder, CSDMS/INSTAAR, Boulder, CO, United States
Conveners:  Laura A Schifman, Environmental Protection Agency Cincinnati, Cincinnati, OH, United States, Joseph R Kasprzyk, University of Colorado Boulder, Civil Environmental & Architectural Engineering, Boulder, United States and Prof. Albert Kettner, University of Colorado at Boulder, CSDMS/INSTAAR, Boulder, CO, United States
Chairs:  Prof. Albert Kettner, University of Colorado at Boulder, CSDMS/INSTAAR, Boulder, CO, United States, Mary C Hill and Robert J Lempert, RAND Corporation Santa Monica, Santa Monica, CA, 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]
1873 Uncertainty assessment [HYDROLOGY]
1916 Data and information discovery [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]

Abstracts Submitted to this Session:

Characterizing Uncertainty of the Hydrologic Impacts of Climate Change (Invited) (122984)
Martyn P Clark1, Robert Wilby2, Ethan D Gutmann3, Julie A Vano4, Subhrendu Gangopadhyay5, Andrew W Wood4, Hayley J Fowler6, Christel Prudhomme7, Dr. Jeffrey Richard Arnold8 and Levi D Brekke9, (1)National Center for Atmospheric Research, Boulder, United States, (2)University of Loughborough, Loughborough, United Kingdom, (3)NSF National Center for Atmospheric Research, Boulder, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)Bureau of Reclamation, Denver, CO, Denver, United States, (6)Newcastle University, School of Engineering, Tyne and Wear, United Kingdom, (7)NERC center for Ecology and Hydrology, Oxfordshire, United Kingdom, (8)US Army Corps of Engineers, Climate Preparedness and Resilience Programs, Jacksonville, FL, United States, (9)Bureau of Reclamation, Research and Development, Denver, United States
Balancing the stochastic description of uncertainties as a function of hydrologic model complexity (Invited) (139164)
Dario Del Giudice1,2, Peter Reichert1, Carlo Albert1, Margaret Kalcic3, Rebecca Logsdon Muenich3, Donald Scavia3, Nathan S Bosch4 and Anna M Michalak5, (1)EAWAG Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland, (2)Carnegie Institution for Science, Department of Global Ecology, Stanford, CA, United States, (3)University of Michigan, Ann Arbor, MI, United States, (4)Grace College, Indianapolis, IN, United States, (5)Carnegie Institution for Science, Department of Global Ecology, Stanford, United States
Analysis of Hydrologic Time Series Reconstruction Uncertainty Due to Inverse Model Inadequacy Using the Laguerre Expansion Method (159133)
Jiachuan He1, Scott K Hansen2 and Dr. Velimir monty V Vesselinov2, (1)University of Texas at Austin, Austin, TX, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States
Flood Dynamics Using High-Resolution Data and Probabilistic Assessment of Uncertainty (182235)
M. Chase Dwelle1, Jongho Kim1, Khachik Sargsyan2 and Valeriy Yu Ivanov1, (1)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (2)Sandia National Laboratories, Albuquerque, NM, United States
Uncertainty Categorization, Modeling, and Management for Regional Water Supply Planning (194561)
Sarah Fletcher1, Kenneth M Strzepek2, Adnan AlSaati3 and Abdulaziz Alhassan1, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)Massachusetts Institute of Technology, Center for transportation and logistics, Cambridge, United States, (3)King Abdulaziz City for Science and Technology, Center for Complex Engineering Systems, Riyadh, Saudi Arabia
A Python Interface for the Dakota Iterative Systems Analysis Toolkit (189887)
Mark Piper, University of Colorado Boulder, INSTAAR, Boulder, CO, United States, Eric Hutton, Community Surface Dynamics Modeling System, Boulder, United States and James P Syvitski, University of Colorado at Boulder, CSDMS/INSTAAR, Boulder, CO, United States
Framing of Uncertainty in Scientific Publications: Towards Recommendations for Decision Support (171015)
Joseph H.A. Guillaume1,2, Casey Helgeson3, Sondoss Elsawah4,5, Anthony John Jakeman2 and Matti Kummu1, (1)Aalto University, Water and Development Research Group, Aalto, Finland, (2)Australian National University, Canberra, ACT, Australia, (3)CNRS, GREGHEC, Paris Cedex 16, France, (4)University of New South Wales, Sydney, Australia, (5)Australian National University, Canberra, Australia
The Sensitivity of Regional Precipitation to Global Temperature Change and Forcings (Invited) (123143)
Claudia Tebaldi1, Brian C O'Neill2 and J F Lamarque2, (1)Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States

See more of: Hydrology