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A test case of Travis County river geometry data for Hydroshare load test

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A updated version of Travis County river geometry test case data for Hydroshare load test. Several new attributes have been added to the HydraulicProperty table, including WettedBedArea, SurfaceArea, Volume, Slope, Roughness, and Velocity.

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HAND Case Study for Travis County

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Tuscaloosa Source

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A test to adjust the NHD flowline according the underlying DEM on Rolling Wood catchment, Texas

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A flowline optimization test in Rolling Wood Catchment

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Water depth profile of Nation Weather Service flood maps in Texas. Also, the inundation zones have been linearly referenced on 100K NHD flowlines.

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Hydraulic properties for NHD reaches in Texas derived using the NHD-HAND method

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NFIE-Geo Dataset for Tuscaloosa County

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HAND raster and river geometry information for 95 NHDPlus reaches in Iowa, prepared to support NFIE Data Assimilation Team SI Project.

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NHDPluse reach-average hydraulic properties of Onion Creek calculated using the NHDPlus－HAND method

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Rating curves created with NHDPlus-HAND for NHDPlus reaches in Texas (NetCDF format)

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Rating curves created with NHDPlus-HAND for NHDPlus reaches in Texas（SQLite version）

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Texas inundation map corresponding to an 100mm/day uniform rainfall event

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Texas inundation map corresponding to an 200mm/day uniform rainfall event

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Texas inundation map corresponding to an 300mm/day uniform rainfall event

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Rating curves created with NHDPlus-HAND for NHDPlus reaches in Texas (NetCDF format)

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Texas channel hydraulic properties calculated based on NHDPlus-HAND

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TauDEM flow direction conditioning and HAND channel property calculation tools

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Data used for NFIE summer institute 2017

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NFIE 2017

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This resource contains data and tools used in the paper “GeoFlood: large-scale flood inundation mapping based on high-resolution terrain analysis” submitted to Water Resources Research.
Simple and computationally efficient flood inundation mapping methods are needed to take advantage of increasingly available high-resolution topography data. In this work, we present a new approach, called GeoFlood, for flood inundation mapping using high-resolution topographic data. This approach combines GeoNet, an advanced method for high-resolution terrain data analysis, and the Height Above Nearest Drainage. GeoFlood can rapidly convert real-time forecasted river flow conditions to corresponding flood maps. A case study in central Texas demonstrated that the flood maps generated with our approach capture the majority of the inundated extent reported by detailed FEMA flood studies. Our results show that GeoFlood is a valuable solution for rapid inundation mapping.

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Annual peak flow series extracted from NWM historic simulation version 2 for 2.7 reaches across the CONUS