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