The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model
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Citations
Cites
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
Arulampalam, M. S., Maskell, S., Gordon, N., & Clapp, T. (2002) · IEEE Transactions on Signal Processing · doi:10.1109/78.978374 · Cited by 11,502
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
PRIESTLEY, C. H. B., & TAYLOR, R. J. (1972) · Monthly Weather Review · doi:10.1175/1520-0493(1972)100<0081:otaosh>2.3.co;2 · Cited by 6,574
Evensen, G. (1994) · Journal of Geophysical Research: Oceans · doi:10.1029/94jc00572 · Cited by 5,371
The Ensemble Kalman Filter: theoretical formulation and practical implementation
Evensen, G. (2003) · Ocean Dynamics · doi:10.1007/s10236-003-0036-9 · Cited by 4,420
A physically based, variable contributing area model of basin hydrology
Kirkby, M. J., & Beven, K. (1979) · Lancaster EPrints (Lancaster University) · Cited by 3,962
A manifesto for the equifinality thesis
Beven, K. (2006) · Journal of Hydrology · doi:10.1016/j.jhydrol.2005.07.007 · Cited by 2,581
Maidment, D. R. (1993) · Cited by 2,063
Analysis Scheme in the Ensemble Kalman Filter
Burgers, G., Jan van Leeuwen, P., & Evensen, G. (1998) · Monthly Weather Review · doi:10.1175/1520-0493(1998)126<1719:asitek>2.0.co;2 · Cited by 1,869
Ensemble Data Assimilation without Perturbed Observations
Whitaker, J. S., & Hamill, T. M. (2002) · Monthly Weather Review · doi:10.1175/1520-0493(2002)130<1913:edawpo>2.0.co;2 · Cited by 1,563
Cited by
Feng, D., Fang, K., & Shen, C. (2020) · Water Resources Research · doi:10.1029/2019wr026793 · Cited by 633
Towards a comprehensive assessment of model structural adequacy
Gupta, H. V., Clark, M. P., Vrugt, J. A., Abramowitz, G., & Ye, M. (2012) · Water Resources Research · doi:10.1029/2011wr011044 · Cited by 466
Self-citationYan, Y., Lidberg, W., Tenenbaum, D. E., & Pilesjö, P. (2020) · Hydrological Processes · doi:10.1002/hyp.13963 · Cited by 17
Metadata
- Authors
- Clark, M. P., Rupp, D. E., Woods, R. A., Zheng, X., Ibbitt, R. P., Slater, A. G., Schmidt, J., & Uddstrom, M. J.
- Venue
- Advances in Water Resources
- Publisher
- Elsevier BV
- Published
- 2008-10
- Volume
- 31
- Issue
- 10
- Pages
- 1309-1324
- ISSN
- 0309-1708 (ISSN-L)
- OpenAlex
- W2083093485
- Cited by
- 530
- References
- 31
- FWCI
- 13.25
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model. https://app.cochat.ai/papers/10.1016/j.advwatres.2008.06.005
- The paper
- Clark, M. P., Rupp, D. E., Woods, R. A., Zheng, X., Ibbitt, R. P., Slater, A. G., Schmidt, J., & Uddstrom, M. J. (2008). Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2008.06.005
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.