The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Evaluation of a Width‐Based Satellite Discharge Algorithm for Detecting Longitudinal Flow Changes in a Human‐Regulated Continental River Basin
Abstract
This study investigated the capabilities and limitations of estimating spatially continuous river discharge using satellite‐observed river width and the AMHG‐based algorithm (BAM). We applied this method to 668 reaches along the Yellow River mainstem, examining whether width‐derived discharge estimates can capture both natural and anthropogenic streamflow variations. Results show that discharge increases at tributary confluences and decreases in irrigated sections were successfully reproduced, indicating the potential to represent realistic spatial patterns from satellite observations. We further evaluated the impact of prior discharge, which serves as an initial guess in BAM; incorporating irrigation‐corrected priors improved estimation accuracy, particularly in downstream reaches affected by human activities. However, large errors remained in levee‐confined reaches, where poor co‐variability between width and discharge limited performance. Our findings highlight that satellite‐based width measurements, when supported by appropriate priors, offer a promising means to monitor discharge in ungauged basins, while also revealing key challenges in regulated rivers.
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“Moreover, many rivers exhibit limited temporal variability in width, which reduces the explanatory power of width-based methods19,22.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [22]
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MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., van Dijk, A. I. J. M., McVicar, T. R., & Adler, R. F. (2019) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-17-0138.1 · Cited by 1,411
A global data set of the extent of irrigated land from 1900 to 2005
Siebert, S., Kummu, M., Porkka, M., Döll, P., Ramankutty, N., & Scanlon, B. R. (2015) · Hydrology and Earth System Sciences · doi:10.5194/hess-19-1521-2015 · Cited by 519
Yang, X., Pavelsky, T. M., Allen, G. H., & Donchyts, G. (2020) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2920225 · Cited by 156
Research works printed but not linked: 30
- 10.1016/j.jhydrol.2017.11.038 · doi:10.1016/j.jhydrol.2017.11.038
- 10.1029/2009WR008929 · DOI · Paper page
- 10.1029/2020WR027949 · DOI
- 10.1029/2019GL084529 · doi:10.1029/2019gl084529
- 10.1029/2021WR031614 · DOI
- Fekete B. &Vörösmarty C.(2007).The current status of global river discharge monitoring and potential new technologies complementing traditional discharge measurements. Retrieved fromhttps://www.semanticscholar.org/paper/The‐current‐status‐of‐global‐river‐discharge‐and‐Fekete‐V%C3%B6r%C3%B6smarty/fa243284e42eadae45703034acd7322a4e788337
- 10.1029/2019WR025599 · DOI
- 10.3390/rs12071107 · DOI · Paper page
- 10.1002/2014WR016109 · DOI
- 10.1002/2015GL064935 · doi:10.1002/2015gl064935
- 10.1073/pnas.1317606111 · DOI · Paper page
- 10.1002/2017WR021626 · doi:10.1002/2017wr021626
- 10.5194/hess‐22‐789‐2018 · DOI · Paper page
- 10.1029/2020WR027794 · DOI
- 10.1016/j.rse.2023.113489 · DOI · Paper page
- 10.1029/2019WR025287 · DOI · Paper page
- 10.1016/j.egypro.2019.01.445 · doi:10.1016/j.egypro.2019.01.445
- 10.1016/0037‐0738(93)90089‐N · DOI
- 10.5194/hess‐16‐2035‐2012 · doi:10.5194/hess-16-2035-2012
- 10.5194/gmd‐11‐2429‐2018 · DOI · Paper page
- 10.1029/2018GL080771 · doi:10.1029/2018gl080771
- 10.1007/s11769‐017‐0843‐3 · DOI
- 10.3390/w6103012 · doi:10.3390/w6103012
- 10.1108/IJCCSM‐03‐2017‐0067 · doi:10.1108/ijccsm-03-2017-0067
- 10.1175/JHM‐D‐14‐0155.1 · DOI · Paper page
- 10.1175/2011JHM1345.1 · DOI · Paper page
- 10.1038/s41467‐021‐27228‐1 · DOI · Paper page
- 10.1890/100125 · DOI · Paper page
- 10.1029/2019WR024873 · DOI · Paper page
- 10.1029/2018WR024178 · DOI
Cited by
Global scale river discharge and mean depth from radar altimetry and model
Paris, A., Garambois, P.-A., Gal, L., Cerbelaud, A., Larnier, K., David, C. H., Jucá Oliveira, R. A., Correa, S. W., Tourian, M. J., & Calmant, S. (2026) · Nature Communications · doi:10.1038/s41467-026-78275-5
Metadata
- Authors
- Ishikawa, Y., Yamazaki, D., & Yang, Y.
- Affiliations
- Graduate School of Engineering The University of Tokyo Bunkyo Japan
- Institute of Industrial Science The University of Tokyo Meguro Japan
- Department of Hydraulic Engineering Tsinghua University Beijing China
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2025-09-26
- Volume
- 52
- Issue
- 18
- ISSN
- 0094-8276
- 1944-8007
- Cited by
- 4
- References
- 3
- Language
- en
- Licence
- creativecommons.org/licenses/by-nc/4.0/ (vor)
- doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
- Funders
- Japan Society for the Promotion of Science (23KJ0709, 21H05002)
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- The paper
- Ishikawa, Y., Yamazaki, D., & Yang, Y. (2025). Evaluation of a Width‐Based Satellite Discharge Algorithm for Detecting Longitudinal Flow Changes in a Human‐Regulated Continental River Basin. Geophysical Research Letters. https://doi.org/10.1029/2024gl114191
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