Hydrologically conditioned digital elevation model (DEM) generated from lidar data clipped to the Difficult Run watershed with a 500-m buffer in ArcGIS 10.3.1 (ESRI, Redlands, CA). The DEM was hydrologically corrected by breaching through pits with no downslope neighboring cells to force surface flow to continuously move downslope using Whitebox Geospatial Analysis Tools (Lindsay and Dhun 2015, Lindsay 2016). Pits that were not properly breached were manually adjusted using elevation information from the DEM and aerial imagery to locate culverts under roadways.

This dataset contains a digital elevation model (DEM) covering two watersheds in Clarksburg, Montgomery County, Maryland. This DEM has been hydrologically conditioned to breach detention basins, culverts, and other potential barriers to surface flow (i.e. ‘pits’).

Aerial light detection and ranging (lidar) data were collected over the study site between April 12 – 14, 2012 as part of the Fauquier, Fairfax, Frederick (MD), and Jefferson County acquisition for FEMA Region 3 FY12 VA lidar (Dewberry 2012). Lidar points classified as ground and water were used to create a 3-m digital elevation model (DEM) clipped to the Difficult Run watershed with a 500-m buffer in ArcGIS 10.3.1 (ESRI, Redlands, CA).

This dataset contains a 6 foot resolution digital elevation model (DEM) covering two watersheds in Clarksburg, Montgomery County, Maryland.

This digital raster dataset is a digital elevation model (DEM) developed for possible channel restoration at Stuart Ranch along Meadow Valley Wash near Rox, Nevada. The DEM was derived from single-base real-time kinematic (RTK) global navigation satellite system (GNSS) and total station surveys as well as filtered ground observations from terrestrial laser scanner (TLS) surveys at Stuart Ranch along Meadow Valley Wash near Rox, Nevada.

This dataset contains the Digital Elevation Model (DEM) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were developed and distributed by processing units. There are 19 processing units for Africa. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. af_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.

This dataset contains the Digital Elevation Model (DEM) for North America from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were developed and distributed by processing units. There are 13 processing units for North America. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. na_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.

,

This data release includes the input topographic data sets, model parameters, and validation field measurements of flow velocity used to develop and test multidimensional hydraulic models for a reach of the upper Sacramento River in northern California. Digital elevation models (DEMs) were developed by combining water depth maps of the reach, created using spectrally-based remote sensing methods, with light detection and ranging (lidar) data on water surface and terrestrial elevations. The depth maps were derived from three imagery sources: (1) airborne hyperspectral imagery (CASI); (2) uncrewed aerial survey (UAS)-based hyperspectral imagery (Nano); and (3) multispectral satellite imagery (WV3). The methods used to develop bathymetric maps for the reach are provided by Legleiter and Harrison (2019a) and the remote sensing data are available via a ScienceBase data release (Legleiter and Harrison, 2019b). The three DEMs contained in this data release were used as input to develop two-dimensional (2D) and three-dimensional (3D) hydrodynamic models using the Delft3D-Flexible Mesh (Delft3D-FM, 2022.01 release) model developed by Deltares (2022). We used a curvilinear grid with a cell size of 1 m. For the 2D models, we included a spiral flow parameter, which accounts for the effects of secondary flow induced by streamline curvature. For the 3D models, the vertical grid was divided into 10 sigma-layers that followed the bottom topography and free surface. Each sigma-layer represented 10% of the flow depth. We set the time step to ensure a Courant number less than 0.7, and specified a minimum depth for wetting/drying calculations of 0.05 m. We prescribed an upstream discharge of 260 m3/s and ran steady flow simulations. To account for turbulence in the 2D model, we used a uniform eddy viscosity value of 1 m2/s. For the 3D model, turbulence was represented using a κ-ε turbulence closure model. The flow resistance was defined using a uniform roughness height (ks) which was converted to spatially explicit Chezy C coefficients via the Colebrook-White equation. The map projection and datum for the three DEMs contained in this data release are UTM Zone 10 N and NAD83, respectively. Each of the three DEMs is provided as a comma-delimited (*.csv) text file consisting of three columns: East, North, and Elevation; the units of the spatial coordinates and the elevation are meters. Additional Delft3D-FM model input values are provided as a supplemental (*.csv) text file. These DEMs played a critical role in generating multidimensional hydrodynamic models developed from remotely sensed data. Field measurements of water velocity were acquired from a reach of the upper Sacramento River in northern California, September 12-14, 2017, to support research on salmon habitat along the Sacramento River and, more broadly, multidimensional hydrodynamic modeling. The velocity measurements included in this data release were obtained along a series of 10 cross-sections (XS) by a SonTek RiverSurveyor S5 acoustic Doppler current profiler (ADCP) deployed from a jet boat, making 5-10 passes across the channel at each XS. The spatial location of each measurement was obtained via a differential GPS included as part of the RiverSurveyor S5 ADCP instrument package. We post-processed the ADCP data using the Velocity Mapping Toolbox (VMT, version 4.09) (Parsons et al., 2013). In areas where the ADCP did not measure near-bed velocities reliably, we fitted a logarithmic profile to the measured part of the flow field and projected from the lowermost valid velocity measurement to zero velocity at the bed. The map projection and datum for these data are UTM Zone 10 N and NAD83, respectively. The ADCP-based velocity measurements in this data release are provided in a comma-delimited (*.csv) text file with six columns: East, North, Depth, Velocity_depAvg, Velocity_nearBed, and adcpXS; the units of the spatial coordinates and the depths are meters and the depth-averaged and

This dataset contains the Digital Elevation Model (DEM) for Greenland from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.