The DOI matches its Crossref record.
Changes in total precipitation, rainy days and extreme events in northeastern Italy
Abstract
A new daily precipitation dataset, for the period 1920–1998, comprising seven stations located in the northeastern Italy is presented. Seasonal and annual precipitation and number of rainy days have been analysed and a study aimed at investigating precipitation intensity and extreme events has been performed. Precipitation intensity has been analysed through studying both the mean precipitation amount per wet day and dividing precipitation into heavy and non‐heavy classes. In addition, the return period of the extreme events has been calculated for 30‐year running windows and its variations have been examined. The results show a negative trend in the number of wet days associated with an increase in the contribution of heavy rainfall events to total precipitation. This is in agreement with a reduction in return period for extreme events since 1920. Copyright © 2001 Royal Meteorological Society
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
Cited by
Impacts of climate change on surface water quality in relation to drinking water production
Delpla, I., Jung, A.-V., Baures, E., Clement, M., & Thomas, O. (2009) · Environment International · doi:10.1016/j.envint.2009.07.001 · Cited by 1,070
Trends in extreme daily precipitation indices in India
Sen Roy, S., & Balling, R. C. (2004) · International Journal of Climatology · doi:10.1002/joc.995 · Cited by 428
Simolo, C., Brunetti, M., Maugeri, M., & Nanni, T. (2010) · International Journal of Climatology · doi:10.1002/joc.1992 · Cited by 111
Self-citation
Metadata
- Authors
- Brunetti, M., Maugeri, M., & Nanni, T.
- Venue
- International Journal of Climatology
- Publisher
- Wiley
- Published
- 2001-06-13
- Volume
- 21
- Issue
- 7
- Pages
- 861-871
- ISSN
- 0899-8418 (ISSN-L)
- 1097-0088
- OpenAlex
- W1967509530
- Cited by
- 248
- References
- 0
- FWCI
- 6.77
- Type
- journal article
- Language
- en
- Open access
- closed
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 total precipitation, rainy days and extreme events in northeastern Italy. https://app.cochat.ai/papers/10.1002/joc.660
- The paper
- Brunetti, M., Maugeri, M., & Nanni, T. (2001). Changes in total precipitation, rainy days and extreme events in northeastern Italy. International Journal of Climatology. https://doi.org/10.1002/joc.660
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.
