Web Page
type: Distribution
access URL: https://dx.doi.org/10.5066/F70G3H9T
issued: 2019-07-04T00:40:40.585372
modified: 2025-12-02T10:16:09.885590

US Migrating
type: Agent

Data validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications--Supplemental Table 1
type: Dataset
keyword: amerigeoss
keyword: ckan
keyword: geoss
keyword: geo
keyword: amerigeo
keyword: north-america
keyword: national
keyword: united-states
description: 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.
issued: 2025-12-02T10:16:09.891840
modified: 2025-12-02T10:16:09.891844

Web Page
type: Distribution
access URL: https://dx.doi.org/10.5066/F70G3H9T
issued: 2019-07-04T00:40:40.585386
modified: 2025-12-02T10:16:09.886023