Data validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications

Calibration of hydraulic models require careful selection of input parameters to provide the best possible modeling outcome. Currently the selection of hydraulic resistance or 'n' values for these models is a subjective process potentially exposing models to critical review . A process is needed to objectively estimate n-values so everyone responsible for model calibration arrives at the same answer. Use of standard elevation products can support this effort. This dataset is presented as supplemental information for a journal article describing the process of using the root mean square average of elevation standard deviation from lidar derived 1 m rasters to objectively estimate the boundary roughness conditions of a watershed bare earth surface as part of the total hydraulic roughness needed for modeling overland flows in forested drainages.