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| Created: | Nov 06, 2025 at 5:35 p.m. (UTC) | |
| Last updated: | Nov 09, 2025 at 3:07 a.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
T-Route, a dynamic channel routing model, offers a comprehensive solution for river network routing problems. It is designed to handle 1-D channel routing challenges in vector-based river network data, such as the USGS's NHDPlus High Resolution dataset, and OGC WaterML 2.0 Surface Hydrology Features (HY_Features) data model used in NextGen framework.
Provided a series lateral inflows for each node in a channel network, T-Route computes the resulting streamflows. T-Route requires that all routing computations srictly obey an upstream-to-downstream ordering. Such ordering facilitates the heterogenous application of routing models in a single river network. For example, hydrologic models - such as Muskingum Cunge - may be more appropriate for low-order headwater streams where backwater conditions have minimal impact on flooding. In contrast, T-Route empowers users to apply computationally intensive hydraulic models, such as the diffusive wave approximation of St. Venant equations, for high-order streams and rivers, where backwater flooding is a significant concern. This flexibility enables users to allocate computational resources precisely where they are needed most, optimizing efficiency.
Expanding its capabilities, T-Route now supports the OGC WaterML 2.0 Surface Hydrology Features (HY_Features) data model, facilitating the management of complex acyclic network connectivity. HY_Features data model provides users with a choice of routing solutions, including Muskingum-Cunge, Diffusive Wave, or Dynamic Wave.
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Additional Metadata
| Name | Value |
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| docs_url | https://docs.ciroh.org/docs/products/ngiab/community-nextgen-repos/t-route |
| page_url | https://github.com/CIROH-UA/t-route/ |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic and Atmospheric Administration (NOAA), University of Alabama | CIROH: Enabling collaboration through data and model sharing with CUAHSI HydroShare | NA22NWS4320003 to University of Alabama, subaward A23-0266-S001 to Utah State University |
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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