The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The use of Bayesian methods for fitting rating curves, with case studies
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“The optimization of those rating curves using Bayesian Markov Chain Monte Carlo have proven to enable estimating rating curves with the possibility of considering prior information, handling observational uncertainties, and allowing for estimating credible confidence intervals6,26,48,49.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [48]
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Cites
An Introduction to Statistical Modeling of Extreme Values
Coles, S. (2001) · Springer Series in Statistics · doi:10.1007/978-1-4471-3675-0 · Cited by 7,352
Cox, D. R., & Hinkley, D. V. (1974) · doi:10.1007/978-1-4899-2887-0 · Cited by 3,089
Research works printed but not linked: 11
- Kuczera, 1996, Correlated rating curve error in flood frequency inference, Water Resour Res, 32, 2119, 10.1029/96WR00804 · doi:10.1029/96wr00804
- Clarke, 1999, Uncertainty in the estimation of mean annual flood due to rating curve indefinition, J Hydrol, 222, 185, 10.1016/S0022-1694(99)00097-9 · doi:10.1016/s0022-1694(99)00097-9
- Yen, 1973, Open-channel flow equations revisited, J Eng Mech Div ASCE, 99, 979, 10.1061/JMCEA3.0001827 · doi:10.1061/jmcea3.0001827
- Ponce, 2001, Modeling looped ratings in Muskingum–Cunge routing, J Hydraul Eng ASCE, 6, 119, 10.1061/(ASCE)1084-0699(2001)6:2(119) · doi:10.1061/(asce)1084-0699(2001)6:2(119
- Darby, 1996, Predicting stage–discharge curves in channels with bank vegetation, J Hydraul Eng ASCE, 122, 583, 10.1061/(ASCE)0733-9429(1996)122:10(583) · doi:10.1061/(asce)0733-9429(1996)122:10(583
- Shiono, 1999, Stage–discharge assessment in compound meandering channels, J Hydraul Eng ASCE, 125, 66, 10.1061/(ASCE)0733-9429(1999)125:1(66) · doi:10.1061/(asce)0733-9429(1999)125:1(66
- Gawne, 1994, A computer-based system for modeling the stage–discharge relationship in steady-state conditions, Hydrol Sci J, 39, 487, 10.1080/02626669409492770 · doi:10.1080/02626669409492770
- Jain, 2000, Setting up stage–discharge relations using ANN, J Hydraul Eng ASCE, 5, 428, 10.1061/(ASCE)1084-0699(2000)5:4(428) · doi:10.1061/(asce)1084-0699(2000)5:4(428
- Sudheer, 2002, Radial basis function neural network for modeling rating curves, J Hydraul Eng ASCE, 8, 161, 10.1061/(ASCE)1084-0699(2003)8:3(161) · doi:10.1061/(asce)1084-0699(2003)8:3(161
- Chester BL. Stage discharge relationships: overview and theory. In: 5th Australian Hydrographic Workshop, vol. 1. Australian Water Resouces Council, October 1986.
- O’Hagan A. Bayesian inference. Kendall’s advanced theory of statistics, vol. 2B, Arnold, 1994.
Cited by
Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality
McMillan, H., Krueger, T., & Freer, J. (2012) · Hydrological Processes · doi:10.1002/hyp.9384 · Cited by 522
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
- Moyeed, R. A., & Clarke, R. T.
- Venue
- Advances in Water Resources
- Publisher
- Elsevier BV
- Published
- 2005-08
- Volume
- 28
- Issue
- 8
- Pages
- 807-818
- ISSN
- 0309-1708
- Cited by
- 80
- References
- 2
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- The paper
- Moyeed, R. A., & Clarke, R. T. (2005). The use of Bayesian methods for fitting rating curves, with case studies. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2005.02.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
