H43A:
Addressing the Challenges of Big and Complex Data to Advance Hydrologic Understanding II Posters
Session ID#: 9152
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: Jonathan L Goodall, University of Virginia, Department of Civil and Environmental Engineering, Charlottesville, VA, United States, Daniel P Ames, Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States and David G Tarboton, Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States
OSPA Liaison: Jonathan L Goodall, University of Virginia, Department of Civil and Environmental Engineering, Charlottesville, VA, United States
Cross-Listed:
Abstracts Submitted to this Session:
Solomon Vimal1, David G Tarboton2, Lawrence E Band3, Jonathan M Duncan4, John Phillips Lovette3, Gerald Corzo5 and Brian Miles6, (1)UCLA, Geography, Los Angeles, United States, (2)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States, (3)University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, (4)Pennsylvania State University Main Campus, Ecosystem Science and Management, University Park, PA, United States, (5)UNESCO-IHE Institute for Water Education, HYDROINFORMATICS, Delft, Netherlands, (6)University of North Carolina at Chapel Hill, Geography, Chapel Hill, NC, United States
Cheng-Wei Yu, University of Texas at Austin, Austin, TX, United States, Ben R Hodges, The University of Texas at Austin, Austin, United States and Frank Liu, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Konstantinos Andreadis, University of Massachusetts Amherst, Department of Civil and Environmental Engineering, Amherst, United States, Dimitrios Stampoulis, Arizona State University, Future H2O, Knowledge Enterprise Development, Tempe, AZ, United States, Narendra N Das, NASA Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, CA, United States, Stephanie L Granger, NASA Western Water Applications Office, Pasadena, CA, United States, Amor Ines, Michigan State University, Departments of Plant, Soil and Micriobial Sciences, and Biosystems and Agricultural Engineering, East Lansing, MI, United States and Dr. Eunjin Han, Ph.D., USDA ARS, Adaptive Cropping Systems Laboratory, Beltsville, United States
Anthony M Castronova1, Tseganeh Gichamo1, Francisco J Arrieta1 and Ryan Johnson2, (1)Utah State University, Logan, UT, United States, (2)University of Alabama, Alabama Water Institute, Tuscaloosa, United States
Dean Djokic1, Nawajish Noman2 and Steve Kopp1, (1)ESRI, Redlands, CA, United States, (2)ESRI, Redlands, United States
Nels Frazier, University of Wyoming, Laramie, WY, United States
Norm Jones, Brigham Young University, Civil and Construction Engineering, Provo, UT, United States, Jim Nelson, Brigham Young University, Civil and Environmental Engineering, Provo, United States and Daniel P Ames, Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States
Jim Nelson, Brigham Young University, Civil and Environmental Engineering, Provo, United States and Nathan R Swain, Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States
Daniel P Ames1, Zhiyu Li2, Xiaohui Qiao3, David G Tarboton4, Ray Idaszak5, Jeffery S Horsburgh6, Venkatesh Merwade7, Brian Miles8, Nathan R Swain1, Rob Lineberger9 and Ezra Rice1, (1)Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States, (2)University of Illinois at Urbana-Champaign, CyberGIS Center for Advanced Digital and Spatial Studies, Urbana, United States, (3)Brigham Young University, Provo, UT, United States, (4)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States, (5)Renaissance Computing Institute, Chapel Hill, NC, United States, (6)Utah State University, Civil and Environmental Engineering, Utah Water Research Laboratory, Logan, UT, United States, (7)Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States, (8)University of North Carolina at Chapel Hill, Geography, Chapel Hill, NC, United States, (9)Caktus Group, Chapel Hill, NC, United States
Jonathan L Goodall, University of Virginia, Department of Civil and Environmental Engineering, Charlottesville, VA, United States, Mohamed M Morsy, University of Virginia Main Campus, Charlottesville, VA, United States, Anthony M Castronova, Utah State University, Logan, UT, United States, Brian Miles, University of North Carolina at Chapel Hill, Geography, Chapel Hill, NC, United States, Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States and David G Tarboton, Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States
Tian Gan1, David G Tarboton2, Jeffery S Horsburgh3, Pabitra K Dash1, Ray Idaszak4, Hong Yi4 and Brian Blanton5, (1)Utah State University, Logan, UT, United States, (2)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States, (3)Utah State University, Civil and Environmental Engineering, Utah Water Research Laboratory, Logan, UT, United States, (4)Renaissance Computing Institute, Chapel Hill, NC, United States, (5)University of North Carolina at Chapel Hill, Renaissance Computing Institute, Chapel Hill, NC, United States
Jiri Kadlec1, Daniel P Ames2, Matthew Bayles1, Martin Seul3, Richard P Hooper4 and Brian Cummings5, (1)Brigham Young University, Provo, UT, United States, (2)Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States, (3)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Washington, United States, (4)Tufts University, Medford, MA, United States, (5)Consortium of Universities for the Advancement of Hydrological Science, Water Data Center, Washington, DC, United States
