Enabling Collaborative Numerical Modeling in Hydrology using Knowledge Infrastructure

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    W[2019AGUFM.H11J1618B]
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ADS bibcode
2019AGUFM.H11J1618B
year
2019
Listed Authors
Bandaragoda, C.
Castronova, A. M.
Istanbulluoglu, E.
Strauch, R. L.
Nudurupati, S. S.
Phuong, J.
Adams, J. M.
Gasparini, N. M.
Barnhart, K. R.
Hutton, E.
Hobley, D. E. J.
Lyons, N. J.
Tucker, G. E.
Tarboton, D. G.
Idaszak, R.
Wang, S. W.
Listed Institutions
Department of Civil & Environmental Engineering, University of Washington Seattle Campus, Seattle, WA, United States
Utah State University, Logan, UT, United StatesAF: Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Civil and Environmental Engineering, University of Washington, Seattle, WA, United States
Civil and Environmental Engineering, University of Washington Seattle Campus, Seattle, WA, United States
University of Washington, Seattle, WA, United States
Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States
Tulane University, New Orleans, LA, United States
Tulane University, New Orleans, LA, United States
Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, CO, United States
Community Surface Dynamics Modeling System, Boulder, CO, United States
Univ of Colorado, Boulder, CO, United States
Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA, United States
Univ Colorado, Boulder, CO, United States
Utah State University, Logan, UT, United States
Renaissance Computing Institute, Chapel Hill, NC, United States
CyberGIS Center for Advanced Digital and Spatial Studies, Department of Geography and Geographic Information Science, University of Illinois at Urbana Champaign, Urbana, IL, United States

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