The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Making the distinction between water scarcity and drought using an observation‐modeling framework
Open accessAbstract
Key Points: Observation‐modeling framework is needed to discern water scarcity and drought. Anomaly analysis on observed and naturalized time series allows quantification. In a case study, water scarcity had a four times higher impact than drought.
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.
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
River flow forecasting through conceptual models part I — A discussion of principles
Nash, J. E., & Sutcliffe, J. V. (1970) · Journal of Hydrology · doi:10.1016/0022-1694(70)90255-6 · Cited by 23,674
Crop evapotranspiration : guidelines for computing crop water requirements
Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998) · FAO eBooks · Cited by 20,520
Mishra, A. K., & Singh, V. P. (2010) · Journal of Hydrology · doi:10.1016/j.jhydrol.2010.07.012 · Cited by 5,436
Drought under global warming: a review
Dai, A. (2011) · WIREs Climate Change · doi:10.1002/wcc.81 · Cited by 3,523 · cited 4×
“…regions around the world climate change will cause an increase in drought occurrence and severity in the 21st century [Kundzewicz et al., 2002; Bates et al., 2008; Hirabayashi et al., 2008; Mpelasoka et al., 2008; Feyen and Dankers, 2009; Dai, 2011; Kirono et al., 2011; Stahl et al., 2011, 2012].”
BackgroundInfluentialBates, B. C., Kundzewicz, Z. W., & Wu, S. (2008) · TaCCIRe Repository (Sokoine University of Agriculture) · Cited by 2,640
Rainfall‐Runoff Modelling: The Primer
Beven, K. (2012) · Wiley eBooks · doi:10.1002/9781119951001 · Cited by 2,051
Smakhtin, V. U. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(00)00340-1 · Cited by 1,702
Climate change and the world's river basins: anticipating management options
Palmer, M. A., Reidy Liermann, C. A., Nilsson, C., Flörke, M., Alcamo, J., Lake, P. S., & Bond, N. (2008) · Frontiers in Ecology and the Environment · doi:10.1890/060148 · Cited by 934
Development and testing of the WaterGAP 2 global model of water use and availability
ALCAMO, J., DÖLL, P., HENRICHS, T., KASPAR, F., LEHNER, B., RÖSCH, T., & SIEBERT, S. (2003) · Hydrological Sciences Journal · doi:10.1623/hysj.48.3.317.45290 · Cited by 877
The implications of projected climate change for freshwater resources and their management
KUNDZEWICZ, Z. W., MATA, L. J., ARNELL, N. W., DÖLL, P., JIMENEZ, B., MILLER, K., OKI, T., ŞEN, Z., & SHIKLOMANOV, I. (2008) · Hydrological Sciences Journal · doi:10.1623/hysj.53.1.3 · Cited by 874
Cited by
Van Loon, A. F., Gleeson, T., Clark, J., Van Dijk, A. I. J. M., Stahl, K., Hannaford, J., Di Baldassarre, G., Teuling, A. J., Tallaksen, L. M., Uijlenhoet, R., et al. (2016) · Nature Geoscience · doi:10.1038/ngeo2646 · Cited by 830
Self-citationWest, H., Quinn, N., & Horswell, M. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111291 · Cited by 538
Carrão, H., Naumann, G., & Barbosa, P. (2016) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.04.012 · Cited by 485
Jiang, S., Wang, M., Ren, L., Xu, C., Yuan, F., Liu, Y., Lu, Y., & Shen, H. (2019) · Hydrological Processes · doi:10.1002/hyp.13386 · Cited by 115
Taiwo, A. S., Adenike, K., & Aderonke, O. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e03335 · Cited by 86
Metadata
- Authors
- Van Loon, A. F., & Van Lanen, H. A. J.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2013-03
- Volume
- 49
- Issue
- 3
- Pages
- 1483-1502
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W1520842651
- Cited by
- 291
- References
- 68
- FWCI
- 10.83
- 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: Making the distinction between water scarcity and drought using an observation‐modeling framework. https://app.cochat.ai/papers/10.1002/wrcr.20147
- The paper
- Van Loon, A. F., & Van Lanen, H. A. J. (2013). Making the distinction between water scarcity and drought using an observation‐modeling framework. Water Resources Research. https://doi.org/10.1002/wrcr.20147
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.