The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Extreme cyclone events in the Arctic: Wintertime variability and trends
Open accessAbstract
Typically 20–40 extreme cyclone events (sometimes called 'weather bombs') occur in the Arctic North Atlantic per winter season, with an increasing trend of 6 events/decade over 1979–2015, according to 6 hourly station data from Ny-Ålesund. This increased frequency of extreme cyclones is consistent with observed significant winter warming, indicating that the meridional heat and moisture transport they bring is a factor in rising temperatures in the region. The winter trend in extreme cyclones is dominated by a positive monthly trend of about 3–4 events/decade in November–December, due mainly to an increasing persistence of extreme cyclone events. A negative trend in January opposes this, while there is no significant trend in February. We relate the regional patterns of the trend in extreme cyclones to anomalously low sea-ice conditions in recent years, together with associated large-scale atmospheric circulation changes such as 'blockinglike' circulation patterns (e.g. Scandinavian blocking in December and Ural blocking during January–February).
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
Application of the cross wavelet transform and wavelet coherence to geophysical time series
Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004) · Nonlinear Processes in Geophysics · doi:10.5194/npg-11-561-2004 · Cited by 6,285
Self-citation
Cited by
Improved Performance of ERA5 in Arctic Gateway Relative to Four Global Atmospheric Reanalyses
Graham, R. M., Hudson, S. R., & Maturilli, M. (2019) · Geophysical Research Letters · doi:10.1029/2019gl082781 · Cited by 319
Self-citation
Metadata
- Authors
- Rinke, A., Maturilli, M., Graham, R. M., Matthes, H., Handorf, D., Cohen, L., Hudson, S. R., & Moore, J. C.
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2017-08-23
- Volume
- 12
- Issue
- 9
- Pages
- 094006
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W2745950632
- Cited by
- 219
- References
- 1
- FWCI
- 12.14
- 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: Extreme cyclone events in the Arctic: Wintertime variability and trends. https://app.cochat.ai/papers/10.1088/1748-9326/aa7def
- The paper
- Rinke, A., Maturilli, M., Graham, R. M., Matthes, H., Handorf, D., Cohen, L., Hudson, S. R., & Moore, J. C. (2017). Extreme cyclone events in the Arctic: Wintertime variability and trends. Environmental Research Letters. https://doi.org/10.1088/1748-9326/aa7def
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.