The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments
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Citations
Cites
River flow forecasting through conceptual models part I — A discussion of principles
Nash, J. E., & Sutcliffe, J. V. (1970) · Journal of Hydrology · doi:10.1016/0022-1694(70)90255-6 · Cited by 23,674
Natural evaporation from open water, bare soil and grass
Penman, H. L. (1948) · Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences · doi:10.1098/rspa.1948.0037 · Cited by 7,307
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
The future of distributed models: model calibration and uncertainty prediction
Beven, K., & Binley, A. (1992) · Hydrological Processes · doi:10.1002/hyp.3360060305 · Cited by 4,527
A physically based, variable contributing area model of basin hydrology
Kirkby, M. J., & Beven, K. (1979) · Lancaster EPrints (Lancaster University) · Cited by 3,962
Effective and efficient global optimization for conceptual rainfall‐runoff models
Duan, Q., Sorooshian, S., & Gupta, V. (1992) · Water Resources Research · doi:10.1029/91wr02985 · Cited by 3,310
Computer Models of Watershed Hydrology
Singh, V. P. (1995) · Medical Entomology and Zoology · Cited by 3,273
Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences
Oreskes, N., Shrader-Frechette, K., & Belitz, K. (1994) · Science · doi:10.1126/science.263.5147.641 · Cited by 3,010
Estimating Potential Evapotranspiration
Hargreaves, G. H., & Samani, Z. A. (1982) · Journal of the Irrigation and Drainage Division · doi:10.1061/jrcea4.0001390 · Cited by 1,879
Operational testing of hydrological simulation models
KLEMEŠ, V. (1986) · Hydrological Sciences Journal · doi:10.1080/02626668609491024 · Cited by 1,366
Cited by
(2019) · doi:10.5194/hess-23-5089-2019 · Cited by 1,223
Kirchner, J. W. (2009) · Water Resources Research · doi:10.1029/2008wr006912 · Cited by 854
Ensemble predictions of runoff in ungauged catchments
McIntyre, N., Lee, H., Wheater, H., Young, A., & Wagener, T. (2005) · Water Resources Research · doi:10.1029/2005wr004289 · Cited by 371
Thomas, A. R. C., Bond, A. J., & Hiscock, K. M. (2013) · GCB Bioenergy · doi:10.1111/j.1757-1707.2012.01198.x · Cited by 31
Metadata
- Authors
- Perrin, C., Michel, C., & Andréassian, V.
- Venue
- Journal of Hydrology
- Publisher
- Elsevier BV
- Published
- 2001-02
- Volume
- 242
- Issue
- 3-4
- Pages
- 275-301
- ISSN
- 0022-1694 (ISSN-L)
- OpenAlex
- W2066771937
- Cited by
- 632
- References
- 45
- FWCI
- 32.73
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments. https://app.cochat.ai/papers/10.1016/s0022-1694(00)00393-0
- The paper
- Perrin, C., Michel, C., & Andréassian, V. (2001). Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments. Journal of Hydrology. https://doi.org/10.1016/s0022-1694(00)00393-0
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.
