H51Q:
Hyper-Resolution Hydrologic Modeling: Progress and Challenges I

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Session ID#: 34571

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
Conveners:  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 Michael B Smith, NOAA/NWS Office of Water Prediction, National Water Center, Silver Spring, United States
Chairs:  David J Gochis, National Center for Atmospheric Research, Boulder, CO, United States and Joseph Davis Hughes, USGS, Integrated Modeling and Prediction Division, Chicago, 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:

Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, United States, Martyn P Clark, Hydrometeorological Applications Program, Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, United States and Bart Nijssen, University of Washington, Seattle, WA, United States
Fred L Ogden, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
Dr. Noemi Vergopolan, Princeton / GFDL, Atmospheric and Ocean Sciences Program, Princeton, United States, Nathaniel W. Chaney, Princeton Univ, Princeton, NJ, United States, Niko Wanders, Utrecht University, Physical Geography, Utrecht, Netherlands, Justin Sheffield, University of Southampton, Southampton, United Kingdom and Eric F Wood, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States
David J Gochis1, Aubrey L Dugger2, Logan Ray Karsten3, Michael J Barlage4, Kevin Michael Sampson5, Wei Yu6, Linlin Pan1, James L McCreight1, Kenneth Howard7, Joe Busto8 and Jeffrey S Deems9, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Boulder, United States, (3)Durham, United Kingdom, (4)NCAR/RAL, Boulder, United States, (5)Airborne Snow Observatories, Inc., Boulder, United States, (6)Weather Tech Services, LLC, Boulder, CO, United States, (7)National Severe Storms Lab, Norman, OK, United States, (8)Colorado Water Conservation Board, Denver, CO, United States, (9)National Snow and Ice Data Center, Boulder, CO, United States
Ryan James Egbert, Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States, Apoorva Shastry, Ohio St Univ-Earth Sciences, Columbus, United States, Fernando Aristizabal, NOAA Affiliate, Lynker, Tuscaloosa, United States and Cehong Luo, University of Alabama, Geography, Tuscaloosa, AL, United States

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