Lowering the barriers to computational modeling of Earth’s surface: coupling Jupyter Notebooks with Landlab, HydroShare, and CyberGIS for research and education.
Christina Bandaragoda1, Anthony M Castronova2, Jimmy Phuong3, Erkan Istanbulluoglu4, Ronda L Strauch5, Sai Siddhartha Nudurupati6, David G Tarboton7, Shaowen Wang8, Dandong Yin9, Katy R. Barnhart10, Gregory E Tucker11, Eric Hutton12, Daniel E. J. Hobley13, Nicole M Gasparini14 and Jordan Marie Adams14, (1)University of Washington, Department of Civil and Environmental Engineering, Seattle, United States, (2)Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States, (3)University of Washington, Biomedical Informatics and Medical Education, Seattle, WA, United States, (4)University of Washington, Department of Civil & Environmental Engineering, Seattle, United States, (5)University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, United States, (6)Univ of Washington, Seattle, WA, United States, (7)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, UT, United States, (8)University of Illinois at Urbana Champaign, CyberGIS Center for Advanced Digital and Spatial Studies, Department of Geography and Geographic Information Science, Urbana, United States, (9)University of Illinois at Urbana Champaign, Urbana, IL, United States, (10)University of Colorado, Dept. of Geological Sciences and INSTAAR, Boulder, CO, United States, (11)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (12)Community Surface Dynamics Modeling System, Boulder, United States, (13)Cardiff University, School of Earth & Environmental Sciences, Cardiff, United Kingdom, (14)Tulane University, New Orleans, LA, United States
