The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Changes in concurrent monthly precipitation and temperature extremes
Open accessAbstract
While numerous studies have addressed changes in climate extremes, analyses of concurrence of climate extremes are scarce, and climate change effects on joint extremes are rarely considered. This study assesses the occurrence of joint (concurrent) monthly continental precipitation and temperature extremes in Climate Research Unit (CRU) and University of Delaware (UD) observations, and in 13 Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate simulations. The joint occurrences of precipitation and temperature extremes simulated by CMIP5 climate models are compared with those derived from the CRU and UD observations for warm/wet, warm/dry, cold/wet, and cold/dry combinations of joint extremes. The number of occurrences of these four combinations during the second half of the 20th century (1951–2004) is assessed on a common global grid. CRU and UD observations show substantial increases in the occurrence of joint warm/dry and warm/wet combinations for the period 1978–2004 relative to 1951–1977. The results show that with respect to the sign of change in the concurrent extremes, the CMIP5 climate model simulations are in reasonable overall agreement with observations. However, the results reveal notable discrepancies between regional patterns and the magnitude of change in individual climate model simulations relative to the observations of precipitation and temperature.
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
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
Global surface temperature change
Hansen, J., Ruedy, R., Sato, M., & Lo, K. (2010) · Reviews of Geophysics · doi:10.1029/2010rg000345 · Cited by 3,081 · cited 1×
“…surface temperature (both mean and extreme values) and precipitation extremes have increased in the second half of the 20th century (e.g., Nicholls et al 1996, Easterling et al 2000, Vose et al 2005, Alexander et al 2006, Hansen et al 2010, Lawrimore et al 2011, Jones et al 2012, Smith et al 2012).”
BackgroundLittle 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 1×
“These data are interpolated to a 0.5◦ × 0.5◦ resolution and have been used in a variety of studies (Rawlins et al 2012, Sheffield et al 2012).”
MethodInfluentialRelationships between precipitation and surface temperature
Trenberth, K. E., & Shea, D. J. (2005) · Geophysical Research Letters · doi:10.1029/2005gl022760 · Cited by 753
Uncertainties in climate trends: Lessons from upper-air temperature records.
Thorne, P. W., Parker, D. E., Christy, J. R., & Mears, C. A. (2005) · Bulletin of the American Meteorological Society · doi:10.1175/bams-86-10-1437 · Cited by 160
Cited by
Climate Extremes and Compound Hazards in a Warming World
AghaKouchak, A., Chiang, F., Huning, L. S., Love, C. A., Mallakpour, I., Mazdiyasni, O., Moftakhari, H., Papalexiou, S. M., Ragno, E., & Sadegh, M. (2020) · Annual Review of Earth and Planetary Sciences · doi:10.1146/annurev-earth-071719-055228 · Cited by 1,103
Self-citationUrban, J., Ingwers, M. W., McGuire, M. A., & Teskey, R. O. (2017) · Journal of Experimental Botany · doi:10.1093/jxb/erx052 · Cited by 486
Anthropogenic shift towards higher risk of flash drought over China
Yuan, X., Wang, L., Wu, P., Ji, P., Sheffield, J., & Zhang, M. (2019) · Nature Communications · doi:10.1038/s41467-019-12692-7 · Cited by 486
Metadata
- Authors
- Hao, Z., AghaKouchak, A., & Phillips, T. J.
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2013-08-01
- Volume
- 8
- Issue
- 3
- Pages
- 034014
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W2100477572
- Cited by
- 368
- References
- 6
- FWCI
- 12.34
- Type
- journal article
- Language
- en
- Open access
- gold
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: Changes in concurrent monthly precipitation and temperature extremes. https://app.cochat.ai/papers/10.1088/1748-9326/8/3/034014
- The paper
- Hao, Z., AghaKouchak, A., & Phillips, T. J. (2013). Changes in concurrent monthly precipitation and temperature extremes. Environmental Research Letters. https://doi.org/10.1088/1748-9326/8/3/034014
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.