The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A dynamic TOPMODEL
Abstract
A new version of the rainfall‐runoff model TOPMODEL is described in which the assumption of a quasi‐steady state saturated zone configuration is replaced by a kinematic wave routing of subsurface flow implemented in a way that allows the simulation of dynamically variable upslope contributing areas. The new version retains the idea of a distribution of hydrologically similar points in the catchment but allows more flexibility in the definition of hydrologically similarity. This allows the new version to retain much of the computational efficiency of the original model while still allowing results to be mapped back into the space of the catchment. A comparison is gives of the original and dynamic versions in an application to the Slapton Wood catchment, Devon, UK, within the GLUE methodology. The new version provides results that are a better fit to observed discharges, with improved prediction bounds, and patterns of predicted deficits storage that are qualitatively more consistent with understanding of the responses of this catchment. Copyright © 2001 John Wiley & Sons, Ltd.
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
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
Self-citation
Cited by
Beven, K., & Freer, J. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00421-8 · Cited by 2,189
Self-citationBracken, L. J., & Croke, J. (2007) · Hydrological Processes · doi:10.1002/hyp.6313 · Cited by 914
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
Self-citationTransit times—the link between hydrology and water quality at the catchment scale
Hrachowitz, M., Benettin, P., van Breukelen, B. M., Fovet, O., Howden, N. J. K., Ruiz, L., van der Velde, Y., & Wade, A. J. (2016) · WIREs Water · doi:10.1002/wat2.1155 · Cited by 346
Lin, K., Zhang, Q., & Chen, X. (2010) · Journal of Hydrology · doi:10.1016/j.jhydrol.2010.09.012 · Cited by 58
Metadata
- Authors
- Beven, K., & Freer, J.
- Venue
- Hydrological Processes
- Publisher
- Wiley
- Published
- 2001-07
- Volume
- 15
- Issue
- 10
- Pages
- 1993-2011
- ISSN
- 0885-6087 (ISSN-L)
- 1099-1085
- OpenAlex
- W2069244211
- Cited by
- 365
- References
- 1
- FWCI
- 21.82
- 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
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.