The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
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Citations
Cites
Climate Change Impacts in the United States: The Third National Climate Assessment
(2014) · doi:10.7930/j0z31wj2 · Cited by 2,414 · cited 1×
“An emerging realization is that climate change has likely pushed the hydrologic cycle out of what is considered statistical stationarity (Held and Soden, 2006; Milly et al., 2008, 2015; Melillo et al., 2014).”
Beven, K., & Freer, J. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00421-8 · Cited by 2,189
Ajami, N. K., Duan, Q., & Sorooshian, S. (2007) · Water Resources Research · doi:10.1029/2005wr004745 · Cited by 597 · cited 2×
“Calibration procedures that do not account for uncertainty in input and output observations and model structure inevitably lead to biased parameter values (e.g. Restrepo and Bras, 1985; Ajami et al., 2007; Renard et al., 2010).”
Le, P. V. V., Kumar, P., & Drewry, D. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1107177108 · Cited by 146
Cited by
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) · Hydrology and Earth System Sciences · doi:10.5194/hess-21-3427-2017 · Cited by 384
Beck, H. E., Pan, M., Miralles, D. G., Reichle, R. H., Dorigo, W. A., Hahn, S., Sheffield, J., Karthikeyan, L., Balsamo, G., Parinussa, R. M., et al. (2021) · Hydrology and Earth System Sciences · doi:10.5194/hess-25-17-2021 · Cited by 380
Jiang, S., Zheng, Y., & Solomatine, D. (2020) · Geophysical Research Letters · doi:10.1029/2020gl088229 · Cited by 365
Dembélé, M., Hrachowitz, M., Savenije, H. H. G., Mariéthoz, G., & Schaefli, B. (2020) · Water Resources Research · doi:10.1029/2019wr026085 · Cited by 253
Assessing the Physical Realism of Deep Learning Hydrologic Model Projections Under Climate Change
Wi, S., & Steinschneider, S. (2022) · Water Resources Research · doi:10.1029/2022wr032123 · Cited by 137
Metadata
- Authors
- Fatichi, S., Vivoni, E. R., Ogden, F. L., Ivanov, V. Y., Mirus, B., Gochis, D., Downer, C. W., Camporese, M., Davison, J. H., Ebel, B., Jones, N., Kim, J., Mascaro, G., Niswonger, R., Restrepo, P., Rigon, R., Shen, C., Sulis, M., & Tarboton, D.
- Venue
- Journal of Hydrology
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 537
- Pages
- 45-60
- ISSN
- 0022-1694 (ISSN-L)
- OpenAlex
- W2303468042
- Cited by
- 671
- References
- 4
- FWCI
- 25.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: An overview of current applications, challenges, and future trends in distributed process-based models in hydrology. https://app.cochat.ai/papers/10.1016/j.jhydrol.2016.03.026
- The paper
- Fatichi, S., Vivoni, E. R., Ogden, F. L., Ivanov, V. Y., Mirus, B., Gochis, D., Downer, C. W., Camporese, M., Davison, J. H., Ebel, B., Jones, N., Kim, J., Mascaro, G., Niswonger, R., Restrepo, P., Rigon, R., Shen, C., Sulis, M., & Tarboton, D. (2016). An overview of current applications, challenges, and future trends in distributed process-based models in hydrology. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2016.03.026
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.
