Chairs: Hoori Ajami, University of California Riverside, Environmental Sciences, Riverside, CA, United States and David J Gochis, National Center for Atmospheric Research, Boulder, CO, United States
Primary Convener: David J Gochis, National Center for Atmospheric Research, Boulder, CO, United States
Co-conveners: Hoori Ajami, University of California Riverside, Environmental Sciences, Riverside, CA, United States, Mark S Wigmosta, Pacific Northwest National Laboratory, Richland, United States and Marc FP Bierkens, Deltares, Utrecht, Netherlands
OSPA Liaison: Mark S Wigmosta, Pacific Northwest National Laboratory, Richland, United States
Delineating Equivalent Cross-Sections for Semi-Distributed Hydrologic Modelling at Large Scales (11368)
Urooj Khan1, Hoori Ajami2, Narendra Kumar Tuteja1 and Ashish Sharma3, (1)Bureau of Meteorology, Environment and Research Division, Canberra, Australia, (2)University of California Riverside, Environmental Sciences, Riverside, CA, United States, (3)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia
Highly Resolved Long-term 3D Hydrological Simulation of a Forested Catchment with Litter Layer and Fractured Bedrock (12133)
Zhufeng Fang1, Heye R Bogena1, Stefan J Kollet2,3 and Harry Vereecken4, (1)Forschungszentrum Jülich, Agrosphere (IBG 3), Jülich, Germany, (2)Forschungszentrum Juelich, Institute of Bio- and Geosciences, Agrosphere (IBG-3), Juelich, Germany, (3)Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, Jülich, Germany, (4)Forschungszentrum Jülich, Jülich, Germany
Development of a fully integrated water cycle model: HydroGeoSphere-Weather Research and Forecasting (HGS-WRF) (17801)
Dr. Jason H Davison, PhD, Catholic University of America, Department of Civil and Environmental Engineering, Washington, DC, United States, Hyoun-Tae Hwang, University of Waterloo, Waterloo, ON, Canada; Aquanty Inc., Waterloo, ON, Canada, Edward A Sudicky, University of Waterloo, Department of Earth and Environmental Sciences, Waterloo, ON, Canada and John C Lin, University of Utah, Department of Atmospheric Sciences, Salt Lake City, UT, United States
Dynamic Downslope Travel Distance Modeling: Interflow Modeling from Bottom of Slope Upwards (18110)
Menberu B Meles, USDA-ARS, Sustainable Agricultural Water Systems, Davis, United States, C Rhett Jackson, University of Georgia, Athens, GA, United States, Jeffrey McDonnell, University of Saskatchewan, School of Environment and Sustainability, Global Institute for Water Security, Saskatoon, SK, Canada, Kellie B Vache, Oregon State University, Corvallis, OR, United States, Natalie Griffiths, Oak Ridge National Laboratory, Oak Ridge, TN, United States and John I Blake, US Forest Service Asheville, New Ellenton, SC, United States
Modeling floods in large river basins: Model resolution and storm patterns (19989)
Tara Troy, Lehigh University, Bethlehem, PA, United States, Upmanu Lall, Columbia University, Earth and Environmental Engineering, New York, United States and Naresh Devineni, Department of Civil Engineering, The City College of New York; United Nations University Hub on Remote-Sensing and Sustainable Innovations for Resilient Urban Systems at The City College of New York; CUNY Remote Sensing Earth System Institute, Department of Civil Engineering, New York, United States
CREST v2.1 Refined by a Distributed Linear Reservoir Routing Scheme (20235)
Xinyi Shen1, Yang Hong2, Ke Zhang1, Zengchao Hao1, Dacheng Wang3 and Hydrometeorology and Remote Sensing Laboratory, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)University of Oklahoma, School of Civil Engineering and Environmental Science, Norman, United States, (3)Institute of Remote Sensing and Digital Earth Chinese Academy of Science, Beijing, China
An Intercomparison of Model Performance and Uncertainty in Forcing Data for the Mackenzie River Basin (23722)
Gonzalo Sapriza Azuri1, Vanessa Pedinotti1, Kwok Pan (Sun) Chun2, Bruce Davison3, Alain Pietroniro4 and Howard S Wheater5, (1)University of Saskatchewan, Saskatoon, SK, Canada, (2)Hong Kong Baptist University, Geography, Kowloon Tong, Hong Kong, (3)Environment and Climate Change Canada, National Hydrology Research Centre, Saskatoon, SK, Canada, (4)Environment and Climate Change Canada, National Hydrology Research Center, Saskatoon, SK, Canada, (5)University of Saskatchewan, Centre for Hydrology and Global Institute for Water Security, Saskatoon, SK, Canada
Towards improved large scale hydrological modeling: applications to the Saskatchewan River Basin (25436)
Fuad Abdo Yassin1, Howard S Wheater2, Gonzalo Sapriza Azuri1, Ali Nazemi1, Bruce Davison3 and Alain Pietroniro4, (1)University of Saskatchewan, Saskatoon, SK, Canada, (2)University of Saskatchewan, Centre for Hydrology and Global Institute for Water Security, Saskatoon, SK, Canada, (3)Environment and Climate Change Canada, National Hydrology Research Centre, Saskatoon, SK, Canada, (4)Environment and Climate Change Canada, National Hydrology Research Center, Saskatoon, SK, Canada
Spatio-temporal covariation of evapotranspiration, plant productivity, and groundwater dynamics at the global scale (29004)
Sujan Koirala1, Martin Jung2, Nuno Carvalhais1, Inge E.M. de Graaf3 and Markus Reichstein2, (1)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (2)Max Planck Institute for Biogeochemistry, Jena, Germany, (3)Utrecht University, Department of Physcial Geography, Utrecht, Netherlands
High Resolution Integrated Hydrologic Modeling for Water Resource Management: Tahoe Basin Case Study (31157)
Seshadri Rajagopal1, Richard G Niswonger2, Justin L Huntington3, Murphy Gardner4, Charles Morton3, Stephen Maples5, Donald Matthew Reeves6 and Greg Pohll7, (1)Desert Research Institute, Reno, NV, United States, (2)USGS Water Resources Mission Area, Menlo Park, United States, (3)Desert Research Institute, Division of Hydrologic Sciences, Reno, United States, (4)USGS, Reno, NV, United States, (5)USGS, Carson City, United States, (6)University of Alaska Anchorage, Department of Geological Sciences, Anchorage, AK, United States, (7)Desert Research Institute Reno, Division of Hydrologic Sciences, Reno, NV, United States
Simulating high resolution soil moisture distribution using TOPMODEL-based Land Surface-Atmosphere Transfer Scheme (TOPLATS) model (31493)
Xiaolei Fu1,2, Lifeng Luo3, Ming Pan4, Zhongbo Yu5, Huiqing Huang2, Yang Lang6 and Ying Tang2, (1)Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Nanjing, China, (2)Michigan State University, East Lansing, MI, United States, (3)Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, MI, United States, (4)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States, (5)Univ Nevada, Las Vegas, NV, United States, (6)Beijing Normal University, Beijing, China