The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Global warming and 21st century drying
Open accessOverview
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
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
Increasing drought under global warming in observations and models
Dai, A. (2013) · Nature Climate Change · doi:10.1038/nclimate1633 · Cited by 4,762
Drought under global warming: a review
Dai, A. (2011) · WIREs Climate Change · doi:10.1002/wcc.81 · Cited by 3,523 · cited 5×
“Recently, there has been support for the use of the Penman-Monteith method (Penman 1948; Xu and Singh 2002) as an alternative to Thornthwaite for calculating PET for drought projections (Dai 2011, 2013 ; Hoerling et al. 2012; van der Schrier et al. 2013; Sheffield et al. 2012).”
InfluentialCoumou, D., & Rahmstorf, S. (2012) · Nature Climate Change · doi:10.1038/nclimate1452 · Cited by 2,289
Little change in global drought over the past 60 years
Sheffield, J., Wood, E. F., & Roderick, M. L. (2012) · Nature · doi:10.1038/nature11575 · Cited by 1,978 · cited 5×
“Recent studies have highlighted some deficiencies regarding the Thornthwaite (Thornthwaite 1948) temperature-based method often used for estimating PET in PDSI and SPEI calculations (Dai 2011; Hoerling et al. 2012; Sheffield et al. 2012; Vicente-Serrano et al. 2009).”
InfluentialRobustness and uncertainties in the new CMIP5 climate model projections
Knutti, R., & Sedláček, J. (2013) · Nature Climate Change · doi:10.1038/nclimate1716 · Cited by 1,569
Oceanic forcing of Sahel rainfall on interannual to interdecadal time scales.
Giannini, A., Saravanan, R., & Chang, P. (2003) · Science · doi:10.1126/science.1089357 · Cited by 1,058
Cited by
Forest disturbances under climate change
Seidl, R., Thom, D., Kautz, M., Martin-Benito, D., Peltoniemi, M., Vacchiano, G., Wild, J., Ascoli, D., Petr, M., Honkaniemi, J., et al. (2017) · Nature Climate Change · doi:10.1038/nclimate3303 · Cited by 2,878
Productivity limits and potentials of the principles of conservation agriculture
Pittelkow, C. M., Liang, X., Linquist, B. A., van Groenigen, K. J., Lee, J., Lundy, M. E., van Gestel, N., Six, J., Venterea, R. T., & van Kessel, C. (2015) · Nature · doi:10.1038/nature13809 · Cited by 1,688
Seasonal Drought Prediction: Advances, Challenges, and Future Prospects
Hao, Z., Singh, V. P., & Xia, Y. (2018) · Reviews of Geophysics · doi:10.1002/2016rg000549 · Cited by 607
Plant responses to increasing CO 2 reduce estimates of climate impacts on drought severity
Swann, A. L. S., Hoffman, F. M., Koven, C. D., & Randerson, J. T. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604581113 · Cited by 585
A review of the relationships between drought and forest fire in the United States
Littell, J. S., Peterson, D. L., Riley, K. L., Liu, Y., & Luce, C. H. (2016) · Global Change Biology · doi:10.1111/gcb.13275 · Cited by 571
Twentieth-century hydroclimate changes consistent with human influence
Marvel, K., Cook, B. I., Bonfils, C. J. W., Durack, P. J., Smerdon, J. E., & Williams, A. P. (2019) · Nature · doi:10.1038/s41586-019-1149-8 · Cited by 317
Self-citationKhan, S. J., Deere, D., Leusch, F. D. L., Humpage, A., Jenkins, M., & Cunliffe, D. (2015) · Water Research · doi:10.1016/j.watres.2015.08.018 · Cited by 251
Health and Safety Effects of Airborne Soil Dust in the Americas and Beyond
Tong, D. Q., Gill, T. E., Sprigg, W. A., Van Pelt, R. S., Baklanov, A. A., Barker, B. M., Bell, J. E., Castillo, J., Gassó, S., Gaston, C. J., et al. (2023) · Reviews of Geophysics · doi:10.1029/2021rg000763 · Cited by 131
Digital transformation in water organizations
Boyle, C., Ryan, G., Bhandari, P., Law, K. M. Y., Gong, J., & Creighton, D. (2022) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0001555 · Cited by 70
How Many People Were Killed by Windblown Dust Events in the United States?
Tong, D., Feng, I., Gill, T. E., Schepanski, K., & Wang, J. (2023) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-22-0186.1 · Cited by 37
Deere, D., Leusch, F. D. L., Humpage, A., Cunliffe, D., & Khan, S. J. (2017) · Water Research · doi:10.1016/j.watres.2016.12.028 · Cited by 24
Metadata
- Authors
- Cook, B. I., Smerdon, J. E., Seager, R., & Coats, S.
- Venue
- Climate Dynamics
- Published
- 2014-03-06
- Volume
- 43
- Issue
- 9-10
- Pages
- 2607-2627
- ISSN
- 0930-7575 (ISSN-L)
- 1432-0894
- OpenAlex
- W2053452238
- Cited by
- 1,070
- References
- 7
- FWCI
- 45.04
- 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
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.
