H42A:
Addressing the Challenges of Big and Complex Data to Advance Hydrologic Understanding I


Session ID#: 10630

Session Description:
Hydrologic research increasingly involves the use of large and diverse datasets composed of information integrated from multiple sources, which is intrinsically computationally intensive and requires teamwork and collaboration.  Cyberinfrastructure is being developed to address many challenges including the management of big data, software and modeling services, and community platforms to support collaboration. This session solicits papers on the design and development of cyberinfrastructure in the hydrologic science and engineering communities.  This includes topics dealing with the scientific and engineering applications of these systems to improve our understanding of water in the coupled human and earth system, as well as water resources management.  Appropriate topics include flood and drought management, earth system and ecosystem models, and emergency response or citizen engagement in water resource issues.
Primary Convener:  Anthony M Castronova, Utah State University, Logan, UT, United States
Conveners:  Jonathan L Goodall, University of Virginia Main Campus, Charlottesville, VA, United States, David G Tarboton, Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States and Daniel P Ames, Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States
Chairs:  Anthony M Castronova, Utah State University, Logan, UT, United States, David G Tarboton, Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States and Daniel P Ames, Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States
OSPA Liaison:  Anthony M Castronova, Utah State University, Logan, UT, United States

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

1847 Modeling [HYDROLOGY]
1908 Cyberinfrastructure [INFORMATICS]
1946 Metadata [INFORMATICS]
1976 Software tools and services [INFORMATICS]

Abstracts Submitted to this Session:

Water Intelligence and the Cyber-Infrastructure Revolution (Invited) (78856)
Donald W Cline, NOAA, National Water Center, Silver Spring, MD, United States
Toward Global Real Time Hydrologic Modeling – An “Open” View From the Trenches (Invited) (67487)
Jim Nelson, Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States
Realizing the potential of the CUAHSI Water Data Center to advance Earth Science (72782)
Richard P Hooper1, Martin Seul2, Jon Pollak3, Alva Couch1 and CUAHSI Water Data Center Team, (1)Consortium of Universities for the Advancement of Hydrological Science, Water Data Center, Washington, DC, United States, (2)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Washington, United States, (3)Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Advancing Collaboration through Hydrologic Data and Model Sharing (75507)
David G Tarboton1, Ray Idaszak2, Jeffery S Horsburgh3, Daniel P Ames4, Jonathan L Goodall5, Lawrence E Band6, Venkatesh Merwade7, Alva Couch8, Richard P Hooper9, David R Maidment10, Pabitra K Dash11, Michael Stealey2, Hong Yi2, Tian Gan11, Anthony M Castronova11, Brian Miles12, Zhiyu Li13 and Mohamed M Morsy14, (1)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States, (2)Renaissance Computing Institute, Chapel Hill, NC, United States, (3)Utah State University, Civil and Environmental Engineering, Utah Water Research Laboratory, Logan, UT, United States, (4)Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States, (5)University of Virginia, Department of Civil and Environmental Engineering, Charlottesville, VA, United States, (6)University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, (7)Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States, (8)Consortium of Universities for the Advancement of Hydrological Science, Water Data Center, Washington, DC, United States, (9)Tufts University, Medford, MA, United States, (10)CRWR, Austin, United States, (11)Utah State University, Logan, UT, United States, (12)University of North Carolina at Chapel Hill, Geography, Chapel Hill, NC, United States, (13)University of Illinois at Urbana-Champaign, CyberGIS Center for Advanced Digital and Spatial Studies, Urbana, United States, (14)University of Virginia Main Campus, Charlottesville, VA, United States
Challenges of Integrated Modeling Across Space and Time Scales (Invited) (58428)
Bert Jagers, Gennadii Donchyts, Fedor Baart, Jaap Schellekens and Hessel Winsemius, Deltares, Delft, Netherlands
The Ensemble Framework for Flash Flood Forecasting: Global and CONUS Applications (82111)
Zac Flamig1, Humberto J Vergara, PhD1, Race A Clark2, Jonathan J Gourley3, Pierre-Emmanuel Kirstetter1 and Yang Hong4, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)NOAA/NSSL, Norman, United States, (3)National Severe Storms Lab, Oklahoma City, United States, (4)University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States
Hydrology Domain Cyberinfrastructures: Successes, Challenges, and Opportunities (Invited) (66729)
Jeffery S Horsburgh, Utah State University, Civil and Environmental Engineering, Utah Water Research Laboratory, Logan, UT, United States
Aggregating Hydrometeorological Data from International Monitoring Networks Across Earth's Largest Lake System to Quantify Uncertainty in Historical Water Budget Records, Improve Regional Water Budget Projections, and Differentiate Drivers Behind a Recent Record-Setting Surge in Water Levels (80996)
Andrew Gronewold1, Jacob Bruxer2, Joeseph Smith3, Timothy Hunter4, Vincent Fortin5, Anne Hutchinson Clites4, Dorothy Durnford6, Song Qian7 and Frank Seglenieks8, (1)University of Michigan, School for Environment and Sustainability, Ann Arbor, United States, (2)Environment Canada Ottawa, Ottawa, ON, Canada, (3)Cooperative Institute for Limnology and Ecosystems Research, Ann Arbor, MI, United States, (4)NOAA Ann Arbor, Ann Arbor, MI, United States, (5)Hydro-Québec, Montreal, Canada, (6)Environment and Climate Change Canada, Meteorological Service of Canada, Dorval, QC, Canada, (7)University of Toledo, Toledo, United States, (8)Environment and Climate Change Canada, National Hydrological Services, Burlington, ON, Canada

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