River Network Routing on the NHDPlus Dataset

Author:

David Cédric H.12,Maidment David R.2,Niu Guo-Yue13,Yang Zong-Liang1,Habets Florence4,Eijkhout Victor5

Affiliation:

1. Department of Geological Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, Texas

2. Center for Research in Water Resources, The University of Texas at Austin, Austin, Texas

3. Biosphere 2, The University of Arizona, Tucson, Arizona

4. UMR-Sisyphe 7619, CNRS, UPMC, MINES ParisTech, Paris, France

5. Texas Advanced Computing Center, The University of Texas at Austin, Austin, Texas

Abstract

AbstractThe 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 networks. The U.S. Geological Survey (USGS) National Water Information System (NWIS) provides streamflow observations at about 20 thousand gauges located on the NHDPlus river network. A river network model 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 computations provided by land surface models. RAPID is applied to the Guadalupe and San Antonio River 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 traditional Muskingum method when using a few processing cores, as demonstrated in a synthetic study using the upper Mississippi River basin.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference48 articles.

1. Parallel computation for streamflow prediction with distributed hydrologic models;Apostolopoulos;J. Hydrol.,1997

2. Efficient management of parallelism in object oriented numerical software libraries;Balay,1997

3. PETSc users manual: Revision 3.0.0;Balay,2008

4. PETSc: Portable, extensible toolkit for scientific computation;Balay,2009

5. Matrice associée d’un graphe;Berge,1958

Cited by 170 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3