Enabling Collaborative Numerical Modeling in Hydrology using Knowledge Infrastructure

Christina Bandaragoda1, Anthony M Castronova2,3, Erkan Istanbulluoglu4, Ronda L Strauch5, Sai Siddhartha Nudurupati6, Jimmy Phuong7, Jordan Marie Adams8, Nicole M Gasparini8, Katherine R Barnhart9, Eric Hutton10, Daniel E. J. Hobley11, Nathan J Lyons12, Gregory E Tucker13, David G Tarboton14, Ray Idaszak15 and Shao-Wen Wang16, (1)University of Washington Seattle Campus, Department of Civil & Environmental Engineering, Seattle, WA, United States, (2)Utah State University, Logan, UT, United States, (3)Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States, (4)University of Washington, Civil and Environmental Engineering, Seattle, WA, United States, (5)University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, WA, United States, (6)University of Washington, Seattle, WA, United States, (7)University of Washington, Biomedical Informatics and Medical Education, Seattle, WA, United States, (8)Tulane University, New Orleans, LA, United States, (9)University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (10)Community Surface Dynamics Modeling System, Boulder, CO, United States, (11)Univ of Colorado, Boulder, CO, United States, (12)North Carolina State University at Raleigh, Raleigh, NC, United States, (13)Univ Colorado, Boulder, CO, United States, (14)Utah State University, Logan, United States, (15)Renaissance Computing Institute, Chapel Hill, NC, United States, (16)University of Illinois at Urbana Champaign, CyberGIS Center for Advanced Digital and Spatial Studies, Department of Geography and Geographic Information Science, Urbana, IL, United States