The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A decade of Predictions in Ungauged Basins (PUB)—a review
Open accessAbstract
FIGURE 13. Right clasper cartilages of Pavoraja mosaica sp. nov., holotype CSIRO H 643–02, adult male 274 mm TL: A, Lateral view, partially expanded with dorsal and ventral terminal cartilages shown separately; B, Dorsal view; C, Ventral view. Right clasper cartilages of P. nitida, CSIRO H 135–01, 341 mm TL: D, Lateral view, partially expanded with dorsal and ventral terminal cartilages shown separately; E, Dorsal view; F, Ventral view. Abbreviations as in Fig. 6.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Many rivers remain ungauged, leaving significant data gaps, while estimating discharge at such locations, known as the regionalization problem, remains a grand challenge in hydrology9–11.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [10]
In the citing paper
“Many rivers remain ungauged, leaving significant data gaps, while estimating discharge at such locations, known as the regionalization problem, remains a grand challenge in hydrology9–11.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [10]
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
LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1
Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1998.tb05961.x · Cited by 7,945
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
Beven, K., & Freer, J. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00421-8 · Cited by 2,189
Self-citationDeforestation driven by urban population growth and agricultural trade in the twenty-first century
DeFries, R. S., Rudel, T., Uriarte, M., & Hansen, M. (2010) · Nature Geoscience · doi:10.1038/ngeo756 · Cited by 1,413
Appraisal of the generalized likelihood uncertainty estimation (GLUE) method
Stedinger, J. R., Vogel, R. M., Lee, S. U., & Batchelder, R. (2008) · Water Resources Research · doi:10.1029/2008wr006822 · Cited by 386
Cited by
(2019) · doi:10.5194/hess-23-5089-2019 · Cited by 1,223
The CAMELS data set: catchment attributes and meteorology for large-sample studies
(2017) · doi:10.5194/hess-21-5293-2017 · Cited by 1,037
What Role Does Hydrological Science Play in the Age of Machine Learning?
Nearing, G. S., Kratzert, F., Sampson, A. K., Pelissier, C. S., Klotz, D., Frame, J. M., Prieto, C., & Gupta, H. V. (2021) · Water Resources Research · doi:10.1029/2020wr028091 · Cited by 894
Self-citationGlobal hydrology 2015: State, trends, and directions
Bierkens, M. F. P. (2015) · Water Resources Research · doi:10.1002/2015wr017173 · Cited by 493
A Ranking of Hydrological Signatures Based on Their Predictability in Space
Addor, N., Nearing, G., Prieto, C., Newman, A. J., Le Vine, N., & Clark, M. P. (2018) · Water Resources Research · doi:10.1029/2018wr022606 · Cited by 359
Self-citation
Metadata
- Authors
- Hrachowitz, M., Savenije, H. H. G., Blöschl, G., McDonnell, J. J., Sivapalan, M., Pomeroy, J. W., Arheimer, B., Blume, T., Clark, M. P., Ehret, U., Fenicia, F., Freer, J. E., Gelfan, A., Gupta, H. V., Hughes, D. A., Hut, R. W., Montanari, A., Pande, S., Tetzlaff, D., Troch, P. A., Uhlenbrook, S., Wagener, T., Winsemius, H. C., Woods, R. A., Zehe, E., & Cudennec, C.
- Venue
- Hydrological Sciences Journal
- Publisher
- Informa UK Limited
- Published
- 2013-06-14
- Volume
- 58
- Issue
- 6
- Pages
- 1198-1255
- ISSN
- 0262-6667 (ISSN-L)
- 2150-3435
- OpenAlex
- W2165201237
- Cited by
- 1,295
- References
- 5
- FWCI
- 63.57
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A decade of Predictions in Ungauged Basins (PUB)—a review. https://app.cochat.ai/papers/10.1080/02626667.2013.803183
- The paper
- Hrachowitz, M., Savenije, H. H. G., Blöschl, G., McDonnell, J. J., Sivapalan, M., Pomeroy, J. W., Arheimer, B., Blume, T., Clark, M. P., Ehret, U., Fenicia, F., Freer, J. E., Gelfan, A., Gupta, H. V., Hughes, D. A., Hut, R. W., Montanari, A., Pande, S., Tetzlaff, D., . . . Cudennec, C. (2013). A decade of Predictions in Ungauged Basins (PUB)—a review. Hydrological Sciences Journal. https://doi.org/10.1080/02626667.2013.803183
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.