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Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping Applications for the U.S. National Water Model
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| Type: | Resource | |
| Storage: | The size of this resource is 27.6 MB | |
| Created: | Apr 05, 2023 at 2:54 p.m. | |
| Last updated: | Apr 05, 2023 at 7:06 p.m. (Metadata update) | |
| Published date: | Apr 05, 2023 at 7:06 p.m. | |
| DOI: | 10.4211/hs.e961202cb1db41e7b7ef9258b2873761 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 958 |
| Downloads: | 37 |
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Abstract
Flood inundation mapping and evaluation software configured to work with U.S. National Water Model.
Please see noaa-owp/inundation-mapping on Github for the latest official version.
Height Above Nearest Drainage (HAND), a drainage normalizing terrain index, is a means able of producing flood inundation maps (FIMs) from the National Water Model (NWM) at large scales and high resolutions using reach-averaged synthetic rating curves.
We highlight here that HAND is limited to producing inundation only when sourced from its nearest flowpath, thus lacks the ability to source inundation from multiple fluvial sources.
A version of HAND, known as Generalized Mainstems (GMS), is proposed that discretizes a target stream network into segments of unit Horton-Strahler stream order known as level paths (LP).
The FIMs associated with each independent LP are then mosaiced together, effectively turning the stream network into discrete groups of homogeneous unit stream order by removing the influence of neighboring tributaries.
Improvement in mapping skill is observed by significantly reducing false negatives at river junctions when the inundation extents are compared to FIMs from that of benchmarks.
A more marginal reduction in the false alarm rate is also observed due to a shift introduced in the stage-discharge relationship by increasing the size of the catchments.
We observe that the improvement of this method applied at 4-5% of the entire stream network to 100% of the network is about the same magnitude improvement as going from no drainage order reduction to 4-5% of the network.
This novel contribution is framed in a new open-source implementation that utilizes the latest combination of hydro-conditioning techniques to enforce drainage and counter limitations in the input data.
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Coverage
Spatial
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Additional Metadata
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| Repository Name | noaa-owp/inundation-mapping |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| National Oceanic and Atmospheric Administration (NOAA) Office of Water Prediction (OWP) |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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