The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Understanding future patterns of increased precipitation intensity in climate model simulations
Open accessAbstract
In a future climate warmed by increased greenhouse gases, increases of precipitation intensity do not have a uniform spatial distribution. Here we analyze a multi‐model AOGCM data set to examine processes that produce the geographic pattern of these precipitation intensity changes over land. In the tropics, general increases in water vapor associated with positive SST anomalies in the warmer climate produce increased precipitation intensity over most land areas. In the midlatitudes, the pattern of precipitation intensity increase is related in part to the increased water vapor being carried to areas of mean moisture convergence to produce greater precipitation, as well as to changes in atmospheric circulation. Advective effects, indicated by sea level pressure changes, contribute to greatest precipitation intensity increases (as well as mean precipitation increases) over northwestern and northeastern North America, northern Europe, northern Asia, the east coast of Asia, southeastern Australia, and south‐central South America.
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
More Intense, More Frequent, and Longer Lasting Heat Waves in the 21st Century
Meehl, G. A., & Tebaldi, C. (2004) · Science · doi:10.1126/science.1098704 · Cited by 4,322
Self-citation
Cited by
Giorgi, F. (2006) · Geophysical Research Letters · doi:10.1029/2006gl025734 · Cited by 2,744
Atmospheric Warming and the Amplification of Precipitation Extremes
Allan, R. P., & Soden, B. J. (2008) · Science · doi:10.1126/science.1160787 · Cited by 1,562
Shongwe, M. E., van Oldenborgh, G. J., van den Hurk, B., & van Aalst, M. (2011) · Journal of Climate · doi:10.1175/2010jcli2883.1 · Cited by 313
Murphy, J. M., Booth, B. B. B., Collins, M., Harris, G. R., Sexton, D. M. H., & Webb, M. J. (2007) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2007.2077 · Cited by 316
On the Verification and Comparison of Extreme Rainfall Indices from Climate Models
Chen, C.-T., & Knutson, T. (2008) · Journal of Climate · doi:10.1175/2007jcli1494.1 · Cited by 268
Metadata
- Authors
- Meehl, G. A., Arblaster, J. M., & Tebaldi, C.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2005-09-28
- Volume
- 32
- Issue
- 18
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W1514625308
- Cited by
- 322
- References
- 1
- FWCI
- 15.99
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Understanding future patterns of increased precipitation intensity in climate model simulations. https://app.cochat.ai/papers/10.1029/2005gl023680
- The paper
- Meehl, G. A., Arblaster, J. M., & Tebaldi, C. (2005). Understanding future patterns of increased precipitation intensity in climate model simulations. Geophysical Research Letters. https://doi.org/10.1029/2005gl023680
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.