The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism
Open accessAbstract
Abstract. The diversity in hydrologic models has historically led to great controversy on the correct approach to process-based hydrologic modeling, with debates centered on the adequacy of process parameterizations, data limitations and uncertainty, and computational constraints on model analysis. In this paper, we revisit key modeling challenges on requirements to (1) define suitable model equations, (2) define adequate model parameters, and (3) cope with limitations in computing power. We outline the historical modeling challenges, provide examples of modeling advances that address these challenges, and define outstanding research needs. We illustrate how modeling advances have been made by groups using models of different type and complexity, and we argue for the need to more effectively use our diversity of modeling approaches in order to advance our collective quest for physically realistic hydrologic models.
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Cites
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Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
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Dembélé, M., Hrachowitz, M., Savenije, H. H. G., Mariéthoz, G., & Schaefli, B. (2020) · Water Resources Research · doi:10.1029/2019wr026085 · Cited by 253
The sensitivity of simulated streamflow to individual hydrologic processes across North America
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Metadata
- Authors
- Clark, M. P., Bierkens, M. F. P., Samaniego, L., Woods, R. A., Uijlenhoet, R., Bennett, K. E., Pauwels, V. R. N., Cai, X., Wood, A. W., & Peters-Lidard, C. D.
- Venue
- Hydrology and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2017-07-11
- Volume
- 21
- Issue
- 7
- Pages
- 3427-3440
- ISSN
- 1027-5606 (ISSN-L)
- 1607-7938
- OpenAlex
- W2572622164
- Cited by
- 384
- References
- 112
- FWCI
- 11.64
- Type
- journal article
- Language
- en
- Open access
- gold
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- Clark, M. P., Bierkens, M. F. P., Samaniego, L., Woods, R. A., Uijlenhoet, R., Bennett, K. E., Pauwels, V. R. N., Cai, X., Wood, A. W., & Peters-Lidard, C. D. (2017). The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-21-3427-2017
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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.
