Role of Process Representations on Prediction of Hydrologic States and Fluxes

Session ID#: 26259

Session Description:
Integrated hydrologic models are simplified representations of a heterogeneous catchment, where numerous atmospheric and ecological processes closely interact with overland, vadose zone, and groundwater flow processes. Generally, each of the participating processes in these models can be represented in multiple ways. For example, runoff generation can be modeled using SCS-CN, Green-Ampt, or Richards’ equation based representations. Stomatal conductance can be modeled using Jarvis, Leuning or Ball-Berry representations. Snow melt can be modeled using temperature index and energy based representations. Sediment yield may be modeled using RUSLE, MUSLE, or stream-power index based formulations. Alarmingly, often times users and even model developers do not know the consequences of the selection of a process representation. Here we invite contributions that clearly demonstrate the tradeoffs associated with different process representations vis-a-vis their computational and data efficiency, accuracy, and the ability to explain observed behaviors.
Primary Convener:  Xing Chen, Duke University, Nicholas School of the Environment, Durham, NC, United States
Conveners:  Chaopeng Shen, Pennsylvania State University Main Campus, University Park, PA, United States, Christa Kelleher, Syracuse University, Syracuse, NY, United States and Matteo Camporese, University of Padua, Padua, Italy

  • C - Cryosphere
  • EP - Earth and Planetary Surface Processes

Abstracts Submitted to this Session:

Martyn P Clark1, Bart Nijssen2, Andrew Wood1, Naoki Mizukami1 and Andrew James Newman3, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)University of Washington, Seattle, WA, United States, (3)NCAR, Boulder, CO, United States
Jing Yang1, Christian Zammit1, James Griffiths1, Catherine Moore2 and Ross A Woods3, (1)National Institute of Water and Atmospheric Research, Christchurch, New Zealand, (2)GNS Science-Institute of Geological and Nuclear Sciences Ltd, Lower Hutt, New Zealand, (3)University of Bristol, Bristol, United Kingdom
Andreas J Hartmann, University of Freiburg, Freiberg, Germany and Andrew M Ireson, Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada
Praveen Kumar, University of Illinois at Urbana Champaign, Urbana, IL, United States and Intensively Managed Landscapes Critical Zone Observatory (IMLCZO) Scientific Team
Charles W Downer, Engineer Research and Development Center, Coastal and Hydrualic Laboratory, Hydrologic Systems Branch, Vicksburg, MS, United States and Mark Wahl, Engineer Research and Development Center Vicksburg, Coastal and Hydrualic Laboratory, Hydrologic Systems Branch, Vicksburg, MS, United States
Yu Zhang, Duke University, Durham, NC, United States, Wenhong Li, Duke Univ-Nicholas School, Durham, NC, United States and Ge Sun, USDA Forest Service, Southern Research Station, Raleigh, NC, United States
Giacomo Bertoldi1, Elisa Bortoli1,2, Georg Wohlfahrt3 and Matteo Camporese2, (1)EURAC, Institute for Alpine Environment, Bolzano, Italy, (2)University of Padova, Padova, Italy, (3)University of Innsbruck, Innsbruck, Austria
Mukesh Kumar, Duke University, Nicholas School of the Environment, Durham, NC, United States, Tan Zi, Tetratech, Washington, MD, United States and John D Albertson, Cornell University, Ithaca, NY, United States

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