The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Future dryness in the southwest US and the hydrology of the early 21st century drought
Open accessAbstract
Recently the Southwest has experienced a spate of dryness, which presents a challenge to the sustainability of current water use by human and natural systems in the region. In the Colorado River Basin, the early 21st century drought has been the most extreme in over a century of Colorado River flows, and might occur in any given century with probability of only 60%. However, hydrological model runs from downscaled Intergovernmental Panel on Climate Change Fourth Assessment climate change simulations suggest that the region is likely to become drier and experience more severe droughts than this. In the latter half of the 21st century the models produced considerably greater drought activity, particularly in the Colorado River Basin, as judged from soil moisture anomalies and other hydrological measures. As in the historical record, most of the simulated extreme droughts build up and persist over many years. Durations of depleted soil moisture over the historical record ranged from 4 to 10 years, but in the 21st century simulations, some of the dry events persisted for 12 years or more. Summers during the observed early 21st century drought were remarkably warm, a feature also evident in many simulated droughts of the 21st century. These severe future droughts are aggravated by enhanced, globally warmed temperatures that reduce spring snowpack and late spring and summer soil moisture. As the climate continues to warm and soil moisture deficits accumulate beyond historical levels, the model simulations suggest that sustaining water supplies in parts of the Southwest will be a challenge.
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
Warming and earlier spring increase western U.S. forest wildfire activity.
Westerling, A. L., Hidalgo, H. G., Cayan, D. R., & Swetnam, T. W. (2006) · Science · doi:10.1126/science.1128834 · Cited by 5,176
Self-citationLong-Term Aridity Changes in the Western United States
Cook, E. R., Woodhouse, C. A., Eakin, C. M., Meko, D. M., & Stahle, D. W. (2004) · Science · doi:10.1126/science.1102586 · Cited by 1,580
Climate change and wildfire in California
Westerling, A. L., & Bryant, B. P. (2008) · Climatic Change · doi:10.1007/s10584-007-9363-z · Cited by 432
Cited by
Temperature as a potent driver of regional forest drought stress and tree mortality
Park Williams, A., Allen, C. D., Macalady, A. K., Griffin, D., Woodhouse, C. A., Meko, D. M., Swetnam, T. W., Rauscher, S. A., Seager, R., Grissino-Mayer, H. D., et al. (2013) · Nature Climate Change · doi:10.1038/nclimate1693 · Cited by 1,991
Forest responses to increasing aridity and warmth in the southwestern United States
Williams, A. P., Allen, C. D., Millar, C. I., Swetnam, T. W., Michaelsen, J., Still, C. J., & Leavitt, S. W. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914211107 · Cited by 549
Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6
Mishra, V., Bhatia, U., & Tiwari, A. D. (2020) · Scientific Data · doi:10.1038/s41597-020-00681-1 · Cited by 472
Projections of declining surface-water availability for the southwestern United States
Seager, R., Ting, M., Li, C., Naik, N., Cook, B., Nakamura, J., & Liu, H. (2013) · Nature Climate Change · doi:10.1038/nclimate1787 · Cited by 359
Climate Change Trends and Impacts on California Agriculture: A Detailed Review
Pathak, T., Maskey, M., Dahlberg, J., Kearns, F., Bali, K., & Zaccaria, D. (2018) · Agronomy · doi:10.3390/agronomy8030025 · Cited by 341
Metadata
- Authors
- Cayan, D. R., Das, T., Pierce, D. W., Barnett, T. P., Tyree, M., & Gershunov, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2010-12-07
- Volume
- 107
- Issue
- 50
- Pages
- 21271-21276
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2123042314
- Cited by
- 694
- References
- 3
- FWCI
- 29.43
- 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: Future dryness in the southwest US and the hydrology of the early 21st century drought. https://app.cochat.ai/papers/10.1073/pnas.0912391107
- The paper
- Cayan, D. R., Das, T., Pierce, D. W., Barnett, T. P., Tyree, M., & Gershunov, A. (2010). Future dryness in the southwest US and the hydrology of the early 21st century drought. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0912391107
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.