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Cited by 499

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Physically based hydrologic modeling: 2. Is the concept realistic?

Grayson, Rodger B., Moore, Ian D., McMahon, Thomas A.·1992·Water Resources Research

Abstract

Future directions for physically based, distributed‐parameter models intended for use as hydrologic components of sediment and nutrient transport models are discussed. The attraction of these models is their potential to provide information about the flow characteristics at points within catchments, but current representations in process‐based models are often too crude to enable accurate, a priori application to predictive problems. The difficulties relate to both the perception of model capabilities and the fundamental assumptions and algorithms used in the models. In addition, the scale of measurement for many parameters is often not compatible with their use in hydrologic models. The most appropriate uses of process‐based, distributed‐parameter models are to assist in the analysis of data, to test hypotheses in conjunction with field studies, to improve our understanding of processes and their interactions and to identify areas of poor understanding in our process descriptions. The misperception that model complexity is positively correlated with confidence in the results is exacerbated by the lack of full and frank discussion of a model's capability /limitations and reticence to publish poor results. This may ultimately diminish the opportunity to advance understanding of natural processes because the managers of research resources are given the impression that the answers are already known and are being provided by models. Model development is often not carried out in conjunction with field programs designed to test complex models, so the link with reality is lost.

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Crossref · 10.1029/92wr01259

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Metadata

Authors
Grayson, R. B., Moore, I. D., & McMahon, T. A.
Venue
Water Resources Research
Published
1992-10
Volume
28
Issue
10
Pages
2659-2666
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W2169758691
Cited by
499
References
1
FWCI
21.66
Type
journal article
Language
en
Open access
closed

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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.