H52C:
Hyper-Resolution Hydrologic Modeling: Progress and Challenges II

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Session ID#: 34577

Session Description:
Growing water stakeholder demands, the availability of accurate, high-resolution terrain and remote sensing data, and rapidly increasing computational capabilities continue to enable process-based hydrologic modeling at ‘hyper-resolution’ scales, on the order of 10-50m. For example, flash flood prediction and surface-groundwater coupling in urbanized areas or in steep-terrain requires high spatial and temporal resolution modeling. Operational forecasting systems, such as the NOAA National Water Model among others, now are developing methods for operational hyper-resolution hydrologic prediction applications. As such there is now a need to demonstrate and rigorously assess the fidelity of hyper-resolution hydrologic models and flood inundation prediction capabilities. Papers are solicited that cover a spectrum of topics such as: the trade-off between modeling resolution, accuracy, and computational requirements; real-time flood forecasting/mapping applications; hydrologic/hydraulic model complexity; terrain feature description; model initialization and lateral boundary forcing specification. Contributions discussing novel model evaluation methodologies are also welcome.
Primary Convener:  David J Gochis, National Center for Atmospheric Research, Boulder, CO, United States
Convener:  Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Chairs:  Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States and Lauren Elise Grimley, IIHR—Hydroscience and Engineering, Iowa City, IA, United States
OSPA Liaison:  Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Index Terms:

1805 Computational hydrology [HYDROLOGY]
1821 Floods [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1860 Streamflow [HYDROLOGY]

Abstracts Submitted to this Session:

Joseph Davis Hughes, USGS Office of Groundwater, Reston, VA, United States and Christian Langevin, US Geological Survey, Water-Resources Mission Area, Mounds View, United States
Rafael Rosolem1, Mostaquimur Rahman1, Stefan J Kollet2 and Thorsten Wagener3, (1)University of Bristol, Civil Engineering, Bristol, United Kingdom, (2)Forschungszentrum Jülich GmbH, Agrosphere Institute (IBG-3), Juelich, Germany, (3)University of Potsdam, Potsdam, Germany
Giovanni Moretti and Stefano Orlandini, Università degli Studi di Modena e Reggio Emilia, Dipartimento di Ingegneria Enzo Ferrari, Modena, Italy
Teklu K Tesfa1, Leung Ruby1, Michael Brunke2, Peter E Thornton3, Xubin Zeng4 and Steven John Ghan5, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)The University of Arizona, Tucson, AZ, United States, (3)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (4)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (5)Pacific Northwest National Laboratory, Richland, United States
Yuanhao Zhao, Northeastern University, Boston, MA, United States and Edward Beighley, Northeastern University, Civil and Environmental Engineering, Boston, United States
Christopher E Kees1, Manuel Quezada de Luna2, Alvin Zhang3, Milad Rakhsha4, Tristan de Lataillade5 and Aggelos Dimakopoulos5, (1)Louisiana State University, Civil and Environmental Engineering, Baton Rouge, United States, (2)US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States, (3)Rensselaer Polytechnic Institute, Troy, NY, United States, (4)University of Wisconsin Madison, Madison, WI, United States, (5)HR Wallingford, Wallingford, United Kingdom

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