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Catalog datasets represent a fraction of data in use by active WMA projects. The team is working on including more datasets to provide a complete view of data-in-use. Let us know how your experience is!

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Datasets


NHDPlus HR: National Hydrography Dataset Plus - High Resolution Data

Domain: Hydrology

Spatial Resolution: 1:24,000

Temporal Frequency: NA

Temporal Coverage: NA

Spatial Extent: CONUS; HI; PR; GU

Source: USGS

Update Type: Dynamic

Update Frequency: irregular

Update Detail: append and modify

Access: usgs.gov GDB sciencebase.gov GDB

Description:

NHDPlus HR is a national hydrography dataset of surface water features, including stream segments and their associated elevation-derived catchments, that form a seamless national network of streams. In addition to surface water features, this dataset also includes mean annual streamflow estimates based on the Enhanced Unit Runoff method (EROM), mean annual velocity, hydrologic sequencing, stream order, stream slope, stream elevation, cumulative drainage area, flow withdrawals, transfers, and augmentation, and a group of attributes that enable rapid stream network navigation. NHDPlus HR catchments can be used to associate other landscape attributes, such as land cover, with stream segments.
NHDPlus HR integrates stream network features from the high-resolution National Hydrography Dataset (NHD) with 10 meter gridded land surface elevation data from the 3D Elevation Program (3DEP), and hydrologic unit boundaries from the National Watershed Boundary Dataset (WBD). Since NHDPlus HR is produced from static snapshots of these three datasets, it includes the features of these ingredient datasets as well.
This is an updated, high-resolution version of the NHDPlus dataset that is actively being developed and updated.

Citation:

Moore, R.B., McKay, L.D., Rea, A.H., Bondelid, T.R., Price, C.V., Dewald, T.G., and Johnston, C.M., 2019, User’s guide for the national hydrography dataset plus (NHDPlus) high resolution: U.S. Geological Survey Open-File Report 2019-1096, 66 p., https://doi.org/10.3133/ofr20191096

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