Chairs: Martyn P Clark, University of Calgary, Schulich School of Engineering, Department of Civil Engineering, Calgary, AB, Canada and Jan Seibert, University of Zurich, Zurich, Switzerland
Primary Convener: Stacey A Archfield, US Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Reston, United States
Co-conveners: Martyn P Clark, University of Calgary, Schulich School of Engineering, Department of Civil Engineering, Calgary, AB, Canada, Jan Seibert, University of Zurich, Zurich, Switzerland and William Hastings Farmer, US Geological Survey, Lakewood, United States
OSPA Liaison: Stacey A Archfield, USGS Office of Groundwater, Reston, United States
Simplicity of Monthly Climate and Its Implications for Hydrologic Signatures at Various Time-Scales (7063)
Wouter Berghuijs, University of Bristol, Civil Engineering, Bristol, United Kingdom, Murugesu Sivapalan, University of Illinois, Urbana-Champaign, Urbana-Champaign, United States, Hubert H G Savenije, Delft University of Technology, Delft, Netherlands and Ross A Woods, University of Bristol, School of Civil, Aerospace and Design Engineering, Bristol, United Kingdom
Hydrological similarity and controls of streamflow behaviour in eastern Australian catchments (19952)
Ralph Trancoso, University of Queensland, Global Change Institute, St Lucia, QLD, Australia, Clive A Mcalpine, University of Queensland, St Lucia, Australia, Joshua Larsen, University of Queensland, St Lucia, QLD, Australia, Stuart R Phinn, University of Queensland, Remote Sensing Research Centre, St Lucia, QLD, Australia and Tim Mc Vicar, CSIRO Environment, Canberra, ACT, Australia
Interactions of the Pacific ocean variability with western U.S. streamflow. (20258)
Soumya Sagarika, Univ of Nevada, Las Vegas, NV, United States, Miguel Bernardez, New Mexico Institute of Mining and Technology, Department of Physics, Socorro, NM, United States, Ajay Kalra, Clark County Nevada, Las Vegas, NV, United States and Sajjad Ahmad, University of Nevada Las Vegas, Department of Civil and Environmental Engineering and Construction, Las Vegas, United States
Uncertainty assessment in the regionalisation of hydrological signatures (21656)
Ida Westerberg, University of Bristol, Bristol, United Kingdom; IVL Swedish Environmental Research Institute, Stockholm, Sweden, Hilary K McMillan, National Institute of Water and Atmospheric Research (NIWA), Christchurch, New Zealand, Gemma Coxon, University of Bristol, School of Geographical Sciences, Bristol, United Kingdom, Thorsten Wagener, University of Potsdam, Potsdam, Germany, Attilio Castellarin, University of Bologna, Bologna, Italy, Alberto Montanari, University of Bologna, Department of Civil, Chemical, Environmental, and Materials Engineering, Bologna, Italy and Jim E Freer, University of Saskatchewan Coldwater Laboratory, Canmore, AB, Canada
Resampling Gaged Networks to Provide Uncertainty Estimates for Daily Streamflow Predictions in Ungaged Basins (16077)
William Hastings Farmer1, Thomas Mark Over2, Richard M Vogel1, Stacey A Archfield3 and Julie E. Kiang4, (1)Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States, (2)U.S. Geological Survey, Central Midwest Water Science Center, Urbana, Illinois, United States, (3)US Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Reston, United States, (4)US Geological Survey, Reston, United States
The dependence structure of daily hydrological processes (27485)
Nicholas J K Howden1, Timothy Peter Burt2, Fred Worrall3, Stacey A Archfield4, Richard M Vogel5 and Ross A Woods1, (1)University of Bristol, School of Civil, Aerospace and Design Engineering, Bristol, United Kingdom, (2)University of Bristol, Bristol, United Kingdom, (3)University of Durham, Department of Earth Sciences, Durham, United Kingdom, (4)US Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Reston, United States, (5)Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States
A Statistical Weather-Driven Streamflow Model: Enabling future flow predictions in data-scarce headwater streams (31113)
Ana Rosner, USGS/Biological Resources Division, S.O. Conte Anadromous Fish Research Center, Turners Falls, MA, United States, Benjamin H Letcher, U.S. Geological Survey, Eastern Ecological Science Center, Turners Falls, MA, United States and Richard M Vogel, Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States
Development and Application of a Process-based River System Model at a Continental Scale (2328)
Dushmanta Dutta1, Jai Vaze2, Shaun sang ho Kim1, Justin D Hughes3, Ang Yang3 and Jin Teng4, (1)CSIRO Land and Water Canberra, Canberra, ACT, Australia, (2)CSIRO Commonwealth Scientific and Industrial Research Organization, Canberra, Australia, (3)CSIRO Land and Water, Canberra, Australia, (4)CSIRO Land and Water, Canberra, ACT, Australia
Calibration of the Variable Infiltration Capacity Model from Hyper-Resolution to the Regional Scale (7230)
Lieke Anna Melsen, Wageningen University and Research Center, Hydrology and Quantitative Water Management, Wageningen, Netherlands, Ryan Teuling, Wageningen University & Research, Wageningen, Netherlands, Paul JJF Torfs, Wageningen University, Wageningen, Netherlands, Massimiliano Zappa, WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland and Remko Uijlenhoet, Wageningen University and Research, Environmental Sciences, Wageningen, Netherlands
Monthly Water Balance Model Portal for the United States (5406)
Lauren Hay1, Andrew Raymond Bock2, Steven L Markstrom1, Gregory J McCabe Jr3 and Dwight Atkinson4, (1)USGS, National Research Program, Baltimore, MD, United States, (2)U.S. Geological Survey, Integrated Modeling and Prediction Division, Lakewood, United States, (3)USGS, National Research Program, Lakewood, CO, United States, (4)EPA, Office of Water, Washington, DC, United States
Improving USGS National Hydrologic Model Parameterization with Satellite-Based Phenology Products (8630)
Paul D Micheletty1,2, Terri S Hogue3, Lauren Hay4, Steven L Markstrom4 and Robert S. Regan2,5, (1)Colorado School of Mines, Golden, CO, United States, (2)USGS Colorado Water Science Center Lakewood, Lakewood, CO, United States, (3)Colorado School of Mines, Civil and Environmental Engineering, Golden, United States, (4)USGS, National Research Program, Baltimore, MD, United States, (5)USGS, Denver, United States
Using Gridded Snow Covered Area and Snow-Water Equivalence Spatial Data Sets to Improve Snow-Pack Depletion Simulation in a Continental Scale Hydrologic Model (9791)
John C Risley, USGS Oregon Water Science Center, Portland, OR, United States, Jeff A Tracey, Western Ecological Research Center, San Diego, CA, United States, Steven L Markstrom, USGS, National Research Program, Baltimore, MD, United States and Lauren Hay, USGS Colorado Water Science Center Lakewood, Lakewood, CO, United States
