Use of upscaled elevation and surface roughness data in two-dimensional surface water models
Advances in Water Resources
By: J.D. Hughes, J.D. Decker, and C.D. Langevin
Links
- More Information:
- Download citation as: RIS | Dublin Core
Abstract
In this paper, we present an approach that uses a combination of cell-block- and cell-face-averaging of high-resolution cell elevation and roughness data to upscale hydraulic parameters and accurately simulate surface water flow in relatively low-resolution numerical models. The method developed allows channelized features that preferentially connect large-scale grid cells at cell interfaces to be represented in models where these features are significantly smaller than the selected grid size. The developed upscaling approach has been implemented in a two-dimensional finite difference model that solves a diffusive wave approximation of the depth-integrated shallow surface water equations using preconditioned Newton–Krylov methods. Computational results are presented to show the effectiveness of the mixed cell-block and cell-face averaging upscaling approach in maintaining model accuracy, reducing model run-times, and how decreased grid resolution affects errors. Application examples demonstrate that sub-grid roughness coefficient variations have a larger effect on simulated error than sub-grid elevation variations.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Use of upscaled elevation and surface roughness data in two-dimensional surface water models |
| Series title | Advances in Water Resources |
| DOI | 10.1016/j.advwatres.2011.02.004 |
| Volume | 34 |
| Issue | 9 |
| Year Published | 2011 |
| Language | English |
| Publisher | Elsevier |
| Publisher location | Amsterdam, The Netherlands |
| Contributing office(s) | Florida Water Science Center |
| Description | 14 p. |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Advances in Water Resources |
| First page | 1151 |
| Last page | 1164 |
| Google Analytic Metrics | Metrics page |