Use of upscaled elevation and surface roughness data in two-dimensional surface water models |
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Authors: | JD Hughes JD DeckerCD Langevin |
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Institution: | a US Geological Survey, Florida Water Science Center, 10500 University Center Drive, Suite 215, Tampa, FL 33612, USA b US Geological Survey, Florida Water Science Center, 3110 SW 9th Avenue, Ft. Lauderdale, FL 33315, USA c US Geological Survey, 411 National Center, Reston, VA 20192-0002, USA |
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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. |
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Keywords: | Upscaling Surface water modeling Newton-Krylov Diffusive wave approximation |
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