This dataset contains a shape file representing a longitudinal water surface elevation profile collected by boat on the Missouri River at Searcys Bend near Columbia, Missouri on May 5, 2021, during a dye release experiment at the site. The dataset was collected to calibrate a multidimensional hydrodynamic model.

This dataset contains a shape file representing a longitudinal water surface elevation profile collected by boat on the Missouri River at Searcys Bend near Columbia, Missouri on May 5, 2021, during a dye release experiment at the site. The dataset was collected to calibrate a multidimensional hydrodynamic model.

The consists of longitudinal water surface profiles collected in a 10-km reach of the Missouri River at Sheepnose Bend downstream from Lexington, Missouri. Water surface elevation profiles were generated from data collected by USGS staff from the Columbia Environmental Research Center during multibeam sonar surveys of the channel bed in 2019, 2020, and 2021.

This dataset contains quasi-three-dimensional hydrodynamic model outputs from the Flow and Sediment Transport with Morphologic Evolution of CHannels (FaSTMECH) hydrodynamic model in the open source binary Visualization Toolkit (VTK) format (https://vtk.org/) that are required to run simulations of the Searcys Bend dye trace experiment using the “Fluvial Particle” model. The outputs correspond to a modeled flow of 1631 cubic meters per second (cms) based on conditions at Searcys Bend on May 5, 2021, as measured by the U.S. Geological Survey’s Missouri River gaging station at Boonville, Missouri (USGS Gage 06909000). Four different variations of the model were run at multiples of 0.5, 1, 2, and 4 of the calculated lateral eddy viscosity (LEV) value to account for uncertainty in this parameter. Files can be opened using the open source programming Paraview: (https://www.paraview.org/).

This dataset contains quasi-three-dimensional hydrodynamic model outputs from the Flow and Sediment Transport with Morphologic Evolution of CHannels (FaSTMECH) hydrodynamic model in the open source binary Visualization Toolkit (VTK) format (https://vtk.org/) that are required to run simulations of the Searcys Bend dye trace experiment using the “Fluvial Particle” model. The outputs correspond to a modeled flow of 1631 cubic meters per second (cms) based on conditions at Searcys Bend on May 5, 2021, as measured by the U.S. Geological Survey’s Missouri River gaging station at Boonville, Missouri (USGS Gage 06909000). Four different variations of the model were run at multiples of 0.5, 1, 2, and 4 of the calculated lateral eddy viscosity (LEV) value to account for uncertainty in this parameter. Files can be opened using the open source programming Paraview: (https://www.paraview.org/).

This dataset contains quasi-three-dimensional hydrodynamic model outputs from the Flow and Sediment Transport with Morphologic Evolution of CHannels (FaSTMECH) hydrodynamic model in the open source binary Visualization Toolkit (VTK) format (https://vtk.org/) that are required to run simulations of the Searcys Bend dye trace experiment using the “Fluvial Particle” model. The outputs correspond to a modeled flow of 1631 cubic meters per second (cms) based on conditions at Searcys Bend on May 5, 2021, as measured by the U.S. Geological Survey’s Missouri River gaging station at Boonville, Missouri (USGS Gage 06909000). Four different variations of the model were run at multiples of 0.5, 1, 2, and 4 of the calculated lateral eddy viscosity (LEV) value to account for uncertainty in this parameter. Files can be opened using the open source programming Paraview: (https://www.paraview.org/).

The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Missouri River at Searcys Bend, near Columbia, Missouri. The DEM was generated within ArcGIS by compositing bathymetric data from multiple single and multibeam sonar surveys collected between September 2019 and July 2021 with previously existing topographic data collected from airborne LiDAR into a triangulated irregular network (TIN). The resulting TIN was then manually edited and exported as a raster for use in developing a hydrodynamic model.

The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Missouri River at Searcys Bend, near Columbia, Missouri. The DEM was generated within ArcGIS by compositing bathymetric data from multiple single and multibeam sonar surveys collected between September 2019 and July 2021 with previously existing topographic data collected from airborne LiDAR into a triangulated irregular network (TIN). The resulting TIN was then manually edited and exported as a raster for use in developing a hydrodynamic model.

The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Missouri River at Searcys Bend, near Columbia, Missouri. The DEM was generated within ArcGIS by compositing bathymetric data from multiple single and multibeam sonar surveys collected between September 2019 and July 2021 with previously existing topographic data collected from airborne LiDAR into a triangulated irregular network (TIN). The resulting TIN was then manually edited and exported as a raster for use in developing a hydrodynamic model.

This dataset contains two-dimensional hydrodynamic model outputs from the Flow and Sediment Transport with Morphologic Evolution of CHannels (FaSTMECH) hydrodynamic model in the open source binary Visualization Toolkit (VTK) format (https://vtk.org/) that are required to run simulations of the Searcys Bend dye trace experiment using the “Fluvial Particle” model. The outputs correspond to a modeled flow of 1631 cubic meters per second (cms) based on conditions at Searcys Bend on May 5, 2021, as measured by the U.S. Geological Survey’s Missouri River gaging station at Boonville, Missouri (USGS Gage 06909000). Four different variations of the model were run at multiples of 0.5, 1, 2, and 4 of the calculated lateral eddy viscosity (LEV) value to account for uncertainty in this parameter. Files can be opened using the open source programming Paraview: (https://www.paraview.org/).