Cited by 224

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Development of the Global Width Database for Large Rivers

Yamazaki, Dai, O'Loughlin, Fiachra, Trigg, Mark A., Miller, Zachary F., Pavelsky, Tamlin M., Bates, Paul D.·2014·Water Resources Research

Abstract

River width is a fundamental parameter of river hydrodynamic simulations, but no global‐scale river width database based on observed water bodies has yet been developed. Here we present a new algorithm that automatically calculates river width from satellite‐based water masks and flow direction maps. The Global Width Database for Large Rivers (GWD‐LR) is developed by applying the algorithm to the SRTM Water Body Database and the HydroSHEDS flow direction map. Both bank‐to‐bank river width and effective river width excluding islands are calculated for river channels between 60S and 60N. The effective river width of GWD‐LR is compared with existing river width databases for the Congo and Mississippi Rivers. The effective river width of the GWD‐LR is slightly narrower compared to the existing databases, but the relative difference is within ±20% for most river channels. As the river width of the GWD‐LR is calculated along the river channels of the HydroSHEDS flow direction map, it is relatively straightforward to apply the GWD‐LR to global and continental‐scale river modeling.

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Crossref · 10.1002/2013wr014664

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  • Currently, river width data is typically only available for large-scale regions using long-term records of satellite imagery.

    “Currently, river width data is typically only available for large-scale regions using long-term records of satellite imagery.”
  • Databases such as the Global Width Database for Large Rivers and the North American River Width (NARWidth) data set rely on long-term imagery records from the SRTM and Landsat missions, respectively, to represent river extents at mean flow conditions.

    “Databases such as the Global Width Database for Large Rivers [18], and the North American River Width (NARWidth) data set [19] rely on long-term imagery records from the SRTM and Landsat missions, respectively, to represent river extents at mean flow conditions.”

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Research works printed but not linked: 30

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Metadata

Authors
Yamazaki, D., O'Loughlin, F., Trigg, M. A., Miller, Z. F., Pavelsky, T. M., & Bates, P. D.
Affiliations
  • Department of Integrated Climate Change Projection Research Japan Agency for Marine‐Earth Science and Technology Yokohama Japan
  • School of Geographical Sciences University of Bristol Bristol UK
  • Department of Geological Sciences University of North Carolina Chapel Hill North Carolina USA
Venue
Water Resources Research
Published
2014-04
Volume
50
Issue
4
Pages
3467-3480
ISSN
  • 0043-1397
  • 1944-7973
Cited by
224
References
0
Language
en

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