The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Automatic calibration of a conceptual rainfall–runoff model using multiple objectives
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
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
Goldberg, D. E. (1989) · Medical Entomology and Zoology · Cited by 10,109
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
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
Optimal use of the SCE-UA global optimization method for calibrating watershed models
Duan, Q., Sorooshian, S., & Gupta, V. K. (1994) · Journal of Hydrology · doi:10.1016/0022-1694(94)90057-4 · Cited by 1,508
Gupta, H. V., Sorooshian, S., & Yapo, P. O. (1998) · Water Resources Research · doi:10.1029/97wr03495 · Cited by 1,426
Prophecy, reality and uncertainty in distributed hydrological modelling
Beven, K. (1993) · Advances in Water Resources · doi:10.1016/0309-1708(93)90028-e · Cited by 1,169
Cited by
Salas, J. D., Govindaraju, R. S., Anderson, M., Arabi, M., Francés, F., Suarez, W., Lavado-Casimiro, W. S., & Green, T. R. (2014) · Modern Water Resources Engineering · doi:10.1007/978-1-62703-595-8_1 · Cited by 290
Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC
Wang, X., He, X., Williams, J. R., Izaurralde, R. C., & Atwood, J. D. (2005) · Transactions of the ASAE · doi:10.13031/2013.18515 · Cited by 144
Metadata
- Authors
- Madsen, H.
- Venue
- Journal of Hydrology
- Publisher
- Elsevier BV
- Published
- 2000-08
- Volume
- 235
- Issue
- 3-4
- Pages
- 276-288
- ISSN
- 0022-1694 (ISSN-L)
- OpenAlex
- W2136328522
- Cited by
- 772
- References
- 21
- FWCI
- 20.43
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Automatic calibration of a conceptual rainfall–runoff model using multiple objectives. https://app.cochat.ai/papers/10.1016/s0022-1694(00)00279-1
- The paper
- Madsen, H. (2000). Automatic calibration of a conceptual rainfall–runoff model using multiple objectives. Journal of Hydrology. https://doi.org/10.1016/s0022-1694(00)00279-1
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.
