The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
NOTES AND CORRESPONDENCE : A Statistical Analysis of the Extreme Events : Long-Term Trend of Heavy Daily Precipitation
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
Gordon, H. B., Whetton, P. H., Pittock, A. B., Fowler, A. M., & Haylock, M. R. (1992) · Climate Dynamics · doi:10.1007/bf00209165 · Cited by 173
Cited by
Climate Extremes: Observations, Modeling, and Impacts
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R., & Mearns, L. O. (2000) · Science · doi:10.1126/science.289.5487.2068 · Cited by 4,867
The Changing Character of Precipitation
Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B. (2003) · Bulletin of the American Meteorological Society · doi:10.1175/bams-84-9-1205 · Cited by 3,196
Trends in Intense Precipitation in the Climate Record
Groisman, P. Y., Knight, R. W., Easterling, D. R., Karl, T. R., Hegerl, G. C., & Razuvaev, V. N. (2005) · Journal of Climate · doi:10.1175/jcli3339.1 · Cited by 1,334
Observed heavy precipitation increase confirms theory and early models
Fischer, E. M., & Knutti, R. (2016) · Nature Climate Change · doi:10.1038/nclimate3110 · Cited by 758
Changes in the Probability of Heavy Precipitation: Important Indicators of Climatic Change
Groisman, P. Y., Karl, T. R., Easterling, D. R., Knight, R. W., Jamason, P. F., Hennessy, K. J., Suppiah, R., Page, C. M., Wibig, J., Fortuniak, K., et al. (1999) · Weather and Climate Extremes · doi:10.1007/978-94-015-9265-9_15 · Cited by 577
Metadata
- Authors
- Iwashima, T., & Yamamoto, R.
- Venue
- Journal of the Meteorological Society of Japan. Ser. II
- Published
- 1993
- Volume
- 71
- Issue
- 5
- Pages
- 637-640
- ISSN
- 0026-1165 (ISSN-L)
- 2186-9057
- OpenAlex
- W1527803616
- Cited by
- 177
- References
- 1
- FWCI
- 1.21
- 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: NOTES AND CORRESPONDENCE : A Statistical Analysis of the Extreme Events : Long-Term Trend of Heavy Daily Precipitation. https://app.cochat.ai/papers/10.2151/jmsj1965.71.5_637
- The paper
- Iwashima, T., & Yamamoto, R. (1993). NOTES AND CORRESPONDENCE : A Statistical Analysis of the Extreme Events : Long-Term Trend of Heavy Daily Precipitation. Journal of the Meteorological Society of Japan. Ser. II. https://doi.org/10.2151/jmsj1965.71.5_637
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.