H43I:
Streamflow Prediction from the Catchment to the Continental Scale I Posters

Thursday, 18 December 2014: 1:40 PM-6:00 PM
Chairs:  Martyn P Clark, NCAR, Boulder, CO, United States and Jan Seibert, University of Zurich, Zurich, Switzerland
Primary Conveners:  Stacey A Archfield, US Geological Survey, Reston, VA, United States
Co-conveners:  Martyn P Clark, NCAR, Boulder, CO, United States, Jan Seibert, University of Zurich, Zurich, Switzerland and William H Farmer, US Geological Survey, Reston, VA, United States
OSPA Liaisons:  Stacey A Archfield, USGS Office of Groundwater, Reston, VA, United States

Abstracts Submitted to this Session:

 
Simplicity of Monthly Climate and Its Implications for Hydrologic Signatures at Various Time-Scales
Wouter Berghuijs, University of Bristol, Civil Engineering, Bristol, United Kingdom, Murugesu Sivapalan, University of Illinois, Urbana-Champaign, Urbana-Champaign, IL, United States, Hubert Savenije, Delft University of Technology, Delft, 5612, Netherlands and Ross A Woods, University of Bristol, Civil Engineering, Bristol, BS8, United Kingdom
 
Hydrological similarity and controls of streamflow behaviour in eastern Australian catchments
Ralph Trancoso1, Clive A Mcalpine2, Joshua Larsen2, Stuart R Phinn2 and Tim McVicar3, (1)University of Queensland, St Lucia, QLD, Australia, (2)University of Queensland, St Lucia, Australia, (3)CSIRO, Black Mountain, Australia
 
Interactions of the Pacific ocean variability with western U.S. streamflow.
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, Las Vegas, NV, United States
 
Uncertainty assessment in the regionalisation of hydrological signatures
Ida Westerberg1,2, Hilary K McMillan3, Gemma Coxon1, Thorsten Wagener1, Attilio Castellarin4, Alberto Montanari4 and Jim E Freer1, (1)University of Bristol, Bristol, United Kingdom, (2)IVL Swedish Environmental Research Institute, Stockholm, Sweden, (3)National Institute of Water and Atmospheric Research (NIWA), Christchurch, New Zealand, (4)University of Bologna, Bologna, Italy
 
Resampling Gaged Networks to Provide Uncertainty Estimates for Daily Streamflow Predictions in Ungaged Basins
William H Farmer1, Thomas Mark Over2, Richard M Vogel1, Stacey A Archfield3 and Julie E. Kiang3, (1)Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States, (2)US Geological Survey, Urbana, IL, United States, (3)US Geological Survey, Reston, VA, United States
 
Fitting Three- and Four-Parameter Probability Distributions to Daily Streamflow
Stacey A Archfield, US Geological Survey, Reston, VA, United States and Richard M Vogel, Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States
 
The dependence structure of daily hydrological processes
Nicholas J K Howden1, Timothy Peter Burt2, Fred Worrall3, Stacey A Archfield4, Richard M Vogel5 and Ross A Woods1, (1)University of Bristol, Bristol, BS8, United Kingdom, (2)University of Bristol, Bristol, United Kingdom, (3)University of Durham, Durham, DH1, United Kingdom, (4)US Geological Survey, Reston, VA, 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
Ana Rosner1, Benjamin H Letcher1 and Richard M Vogel2, (1)USGS/Biological Resources Division, S.O. Conte Anadromous Fish Research Center, Turners Falls, MA, United States, (2)Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States
 
Regionalization of Low Flows in Hawaii Streams for Past and Future Rainfall Conditions
Maoya Bassiouni, USGS Pacific Islands Water Science, Honolulu, HI, United States
 
Global Maps of Temporal Streamflow Characteristics Based on Observations from Many Small Catchments
Hylke Beck1, Albert van Dijk2 and Ad de Roo1, (1)Joint Research Center Ispra, Ispra, Italy, (2)Australian National University, Canberra, Australia
 
European Continental Scale Hydrological Model, Limitations and Challenges
Elham Rouholahnejad, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland and Karim Abbaspour, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Water resources and drinking water, Duebendorf, Switzerland
 
Development and Application of a Process-based River System Model at a Continental Scale
Dushmanta Dutta1, Jai Vaze2, Shaun sang ho Kim1, Justin D Hughes3, Ang Yang3 and Jin Teng4, (1)CSIRO Land and Water Canberra, Canberra, 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
Lieke Anna Melsen1, Ryan Teuling2, Paul Torfs1, Massimiliano Zappa3 and Remko Uijlenhoet1, (1)Wageningen University, Wageningen, Netherlands, (2)Hydrology Quant. Water Mgnt, Wageningen, Netherlands, (3)WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
 
Monthly Water Balance Model Portal for the United States
Lauren Hay, USGS, Baltimore, MD, United States, Andrew Bock, USGS, Water Science Center, Lakewood, CO, United States, Steven L Markstrom, USGS, National Research Program, Baltimore, MD, United States, Gregory J McCabe Jr, USGS, National Research Program, Lakewood, CO, United States and Dwight Atkinson, EPA, Office of Water, Washington, DC, United States
 
A Geospatial Fabric (GF) for National Hydrological Modeling
Roland Viger and Andrew Bock, USGS, Water Science Center, Lakewood, CO, United States
 
Temporally Variable Land Cover Parameterizations for the USGS National Hydrologic Model
Rheannon Michelle Hart, USGS Arkansas Water Science Center, Little Rock, AR, United States and Roland Viger, USGS, Baltimore, MD, United States
 
Evaluation of Potential Evapotranspiration from a Hydrologic Model on a National Scale
Kirsti Anna Hakala1, Lauren Hay1 and Steven L Markstrom2, (1)USGS Colorado Water Science Center Lakewood, Lakewood, CO, United States, (2)USGS, National Research Program, Baltimore, MD, United States
 
Improving USGS National Hydrologic Model Parameterization with Satellite-Based Phenology Products
Paul D Micheletty1,2, Terri S Hogue1, Lauren Hay3, Steven L Markstrom4 and Robert S. Regan2,4, (1)Colorado School of Mines, Golden, CO, United States, (2)USGS Colorado Water Science Center Lakewood, Lakewood, CO, United States, (3)USGS, Baltimore, MD, United States, (4)USGS, National Research Program, Baltimore, MD, 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
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
 
Evaluation, Calibration and Comparison of the Precipitation-Runoff Modeling System (PRMS) National Hydrologic Model (NHM) Using Moderate Resolution Imaging Spectroradiometer (MODIS) and Snow Data Assimilation System (SNODAS) Gridded Datasets
Parker A Norton II, USGS South Dakota Water Science Center, Rapid City, SD, United States and Adel E Haj Jr., USGS Iowa Water Science Center, Iowa City, IA, United States
 
Linking Statistically- and Physically-Based Models for Improved Streamflow Simulation in Gaged and Ungaged Areas
Jacob Lafontaine1, Lauren Hay2, Stacey A Archfield3, William H Farmer4 and Julie E. Kiang3, (1)USGS Georgia Water Science Center Norcross, Norcross, GA, United States, (2)USGS, Baltimore, MD, United States, (3)US Geological Survey, Reston, VA, United States, (4)Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States
 
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