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A new global river network database for macroscale hydrologic modeling
Open accessAbstract
Coarse‐resolution (upscaled) river networks are critical inputs for runoff routing in macroscale hydrologic models. Recently, Wu et al. (2011) developed a hierarchical dominant river tracing (DRT) algorithm for automated extraction and spatial upscaling of river networks using fine‐scale hydrography inputs. We applied the DRT algorithms using combined HydroSHEDS and HYDRO1k global fine‐scale hydrography inputs and produced a new series of upscaled global river network data at multiple (1/16° to 2°) spatial resolutions. The new upscaled results are internally consistent and congruent with the baseline fine‐scale inputs and should facilitate improved regional to global scale hydrologic simulations.
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New Global Hydrography Derived from Spaceborne Elevation Data
Lehner, B., Verdin, K., & Jarvis, A. (2008) · Eos, Transactions American Geophysical Union · doi:10.1029/2008eo100001 · Cited by 2,411
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A spatial evaluation of global wildfire-water risks to human and natural systems
Robinne, F.-N., Bladon, K. D., Miller, C., Parisien, M.-A., Mathieu, J., & Flannigan, M. D. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.08.112 · Cited by 122
Smith, M. W., Willis, T., Alfieri, L., James, W. H. M., Trigg, M. A., Yamazaki, D., Hardy, A. J., Bisselink, B., De Roo, A., Macklin, M. G., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18239-5 · Cited by 59
Metadata
- Authors
- Wu, H., Kimball, J. S., Li, H., Huang, M., Leung, L. R., & Adler, R. F.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2012-09
- Volume
- 48
- Issue
- 9
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W1578078463
- Cited by
- 239
- References
- 1
- FWCI
- 9.01
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wu, H., Kimball, J. S., Li, H., Huang, M., Leung, L. R., & Adler, R. F. (2012). A new global river network database for macroscale hydrologic modeling. Water Resources Research. https://doi.org/10.1029/2012wr012313
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
