The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Global changes of extreme coastal wave energy fluxes triggered by intensified teleconnection patterns
Open accessAbstract
In this study we conducted a comprehensive modeling analysis to identify global trends in extreme wave energy flux (WEF) along coastlines in the 21st century under a high emission pathway (Representative Concentration Pathways 8.5). For the end of the century, results show a significant increase up to 30% in 100 year return level WEF for the majority of the coastal areas of the southern temperate zone, while in the Northern Hemisphere large coastal areas are characterized by a significant negative trend. We show that the most significant long‐term trends of extreme WEF can be explained by intensification of teleconnection patterns such as the Antarctic Oscillation, El Niño–Southern Oscillation, and North Atlantic Oscillation. The projected changes will have broad implications for ocean engineering applications and disaster risk management. Especially low‐lying coastal countries in the Southern Hemisphere will be particularly vulnerable due to the combined effects of projected relative sea level rise and more extreme wave activities.
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
Increasing frequency of extreme El Niño events due to greenhouse warming.
Cai, W., Borlace, S., Lengaigne, M., van Rensch, P., Collins, M., Vecchi, G., Timmermann, A., Santoso, A., McPhaden, M. J., Wu, L., et al. (2014) · Nature Climate Change · doi:10.1038/nclimate2100 · Cited by 2,198
The cause of the fragile relationship between the Pacific El Nino and the Atlantic Nino.
Chang, P., Fang, Y., Saravanan, R., Ji, L., & Seidel, H. (2006) · Nature · doi:10.1038/nature05053 · Cited by 258
Cited by
A recent increase in global wave power as a consequence of oceanic warming
Reguero, B. G., Losada, I. J., & Méndez, F. J. (2019) · Nature Communications · doi:10.1038/s41467-018-08066-0 · Cited by 512
Extreme heat waves under 1.5 °C and 2 °C global warming
Dosio, A., Mentaschi, L., Fischer, E. M., & Wyser, K. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aab827 · Cited by 445
Self-citationExtreme sea levels on the rise along Europe's coasts
Vousdoukas, M. I., Mentaschi, L., Voukouvalas, E., Verlaan, M., & Feyen, L. (2017) · Earth's Future · doi:10.1002/2016ef000505 · Cited by 429
Self-citationFurtak, K., & Wolińska, A. (2023) · CATENA · doi:10.1016/j.catena.2023.107378 · Cited by 398
Robustness and uncertainties in global multivariate wind-wave climate projections
Morim, J., Hemer, M., Wang, X. L., Cartwright, N., Trenham, C., Semedo, A., Young, I., Bricheno, L., Camus, P., Casas-Prat, M., et al. (2019) · Nature Climate Change · doi:10.1038/s41558-019-0542-5 · Cited by 384
Self-citation
Metadata
- Authors
- Mentaschi, L., Vousdoukas, M. I., Voukouvalas, E., Dosio, A., & Feyen, L.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2017-03-13
- Volume
- 44
- Issue
- 5
- Pages
- 2416-2426
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2602160039
- Cited by
- 209
- References
- 3
- FWCI
- 12.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Global changes of extreme coastal wave energy fluxes triggered by intensified teleconnection patterns. https://app.cochat.ai/papers/10.1002/2016gl072488
- The paper
- Mentaschi, L., Vousdoukas, M. I., Voukouvalas, E., Dosio, A., & Feyen, L. (2017). Global changes of extreme coastal wave energy fluxes triggered by intensified teleconnection patterns. Geophysical Research Letters. https://doi.org/10.1002/2016gl072488
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.