H21G:
Balancing Model Parsimony and Inference in Low-Order Watersheds Posters

Tuesday, 16 December 2014: 8:00 AM-12:20 PM
Chairs:  Fabian Nippgen, Duke University, Nicholas School of the Environment, Durham, NC, United States and Ingo Heidbuechel, Deutsches GeoForschungsZentrum GFZ, Potsdam, Germany
Primary Conveners:  Christa Kelleher, Duke University, Durham, NC, United States
Co-conveners:  Fabian Nippgen, Duke University, Durham, NC, United States and Ingo Heidbuechel, GFZ German Research Centre for Geosciences, Potsdam, Germany
OSPA Liaisons:  Christa Kelleher, Duke University, Durham, NC, United States

Abstracts Submitted to this Session:

0798
 
The value of stream level observations to constrain low-parameter hydrologic models
Jan Seibert1,2, Marc Vis1 and Sandra Pool1, (1)University of Zurich, Zurich, Switzerland, (2)Uppsala University, Earth Sciences, Uppsala, Sweden
0799
 
Why Bother and Calibrate? Model Consistency and the Value of Prior Information.
Markus Hrachowitz1,2, Ophelie Fovet3, Laurent Ruiz3, Tanja Euser2, Shervan Gharari1, Remko Nijzink2, Jim E Freer4, Hubert Savenije1 and Chantal Gascuel-Odoux3, (1)Delft University of Technology, Delft, 5612, Netherlands, (2)Delft University of Technology, Delft, Netherlands, (3)INRA Rennes, UMR1069, Rennes Cedex, France, (4)University of Bristol, Bristol, United Kingdom
0800
 
Dominant controls on catchment hydrological functions: what can we learn from biological and isotopic tracers?
Laurent Pfister1, Julian Klaus1, Carlos E. Wetzel1, Michael K Stewart2, Jeffrey McDonnell3 and Nuria Martinez Carreras1, (1)Centre de Recherche Public - Gabriel Lippmann, EVA, Belvaux, Luxembourg, (2)GNS Science-Institute of Geological and Nuclear Sciences Ltd, Lower Hutt, New Zealand, (3)University of Saskatchewan, Saskatoon, SK, Canada
0801
 
Hunting Solomonoff’s Swans: Exploring the Boundary Between Physics and Statistics in Hydrological Modeling
Grey S Nearing, Science Applications International Corporation Greenbelt, Greenbelt, MD, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States
0802
 
Diagnosing the regional sensitivity of a process-based hydrologic model
Kaitlin D Hayes1, Tyler J Smith1, Lucy Amanda Marshall2 and Brian L McGlynn3, (1)Clarkson University, Potsdam, NY, United States, (2)University of New South Wales, Sydney, Australia, (3)Duke University, Nicholas School of the Environment, Durham, NC, United States
0803
 
Calibration of a Physically-Based Semi-Distributed Hydrologic Model: The Importance of Internal Justification
Ali Tasdighi and Mazdak Arabi, Colorado State University, Fort Collins, CO, United States
0804
 
Forest Productivity for Soft Calibration of Soil Parameters in Eco-hydrologic Modeling
Elizabeth Garcia, University of California Santa Barbara, Santa Barbara, CA, United States and Christina (Naomi) Tague, UC Santa Barbara, Santa Barbara, CA, United States
0805
 
Development of a Watershed Management Model for the Chesapeake Using Multiple Model
Gopal Bhatt, Pennsylvania State University Main Campus, University Park, PA, United States and Gary Shenk, Environmental Protection Agency Chesapeake Bay Program, Annapolis, MD, United States
 
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