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River network routing on the NHDPlus dataset

Abstract : The mapped rivers and streams of the contiguous United States are available in a geographic information system (GIS) dataset called National Hydrography Dataset Plus (NHDPlus). This hydrographic dataset has about 3 million river and water body reaches along with information on how they are connected into net- works. The U.S. Geological Survey (USGS) National Water Information System (NWIS) provides stream- flow observations at about 20 thousand gauges located on theNHDPlus river network.Ariver networkmodel called Routing Application for Parallel Computation of Discharge (RAPID) is developed for the NHDPlus river network whose lateral inflow to the river network is calculated by a land surface model. A matrix-based version of the Muskingum method is developed herein, which RAPID uses to calculate flow and volume of water in all reaches of a river network with many thousands of reaches, including at ungauged locations. Gauges situated across river basins (not only at basin outlets) are used to automatically optimize the Muskingum parameters and to assess river flow computations, hence allowing the diagnosis of runoff com- putations provided by land surfacemodels.RAPIDis applied to theGuadalupe and SanAntonioRiver basins in Texas, where flow wave celerities are estimated at multiple locations using 15-min data and can be reproduced reasonably with RAPID. This river model can be adapted for parallel computing and although the matrix method initially adds a large overhead, river flow results can be obtained faster than with the traditionalMuskingummethod when using a few processing cores, as demonstrated in a synthetic study using the upper Mississippi River basin.
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Submitted on : Friday, November 18, 2011 - 4:30:18 PM
Last modification on : Thursday, November 18, 2021 - 4:02:22 AM
Long-term archiving on: : Sunday, February 19, 2012 - 2:30:15 AM

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Cédric David, David Maidment, Guo-Yue Niu, Zong-Liang Yang, Florence Habets, et al.. River network routing on the NHDPlus dataset. Journal of Hydrometeorology, American Meteorological Society, 2011, 12, pp.913-934. ⟨10.1175/2011JHM1345.1⟩. ⟨hal-00641713v2⟩

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