The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Variability and trends in the directional wave climate of the Southern Hemisphere
Open accessAbstract
The effect of interannual climate variability and change on the historic, directional wave climate of the Southern Hemisphere is presented. Owing to a lack of in situ wave observations, wave climate in the Southern Hemisphere is determined from satellite altimetry and global ocean wave models. Altimeter data span the period 1985 to present, with the exception of a 2‐year gap in 1989–1991. Interannual variability and trends in the significant wave height are determined from the satellite altimeter record (1991 to present), and the dominant modes of variability are identified using an empirical orthogonal function (EOF) analysis. Significant wave heights in the Southern Ocean are observed to show a strong positive correlation with the Southern Annular Mode (SAM), particularly during Austral autumn and winter months. Correlation between altimeter derived significant wave heights and the Southern Oscillation Index is observed in the Pacific basin, which is consistent with several previous studies. Variability and trends of the directional wave climate are determined using the ERA‐40 Waves Re‐analysis for the period 1980–2001. Significant wave height, mean wave period and mean wave direction data are used to describe the climate of the wave energy flux vector. An EOF analysis of the wave energy flux vector is carried out to determine the dominant modes of variability of the directional seasonal wave energy flux climate. The dominant mode of variability during autumn and winter months is strongly correlated to the SAM. There is an anti‐clockwise rotation of wave direction with the southward intensification of the Southern Ocean storm belt associated with the SAM. Clockwise rotation of flux vectors is observed in the Western Pacific Ocean during El‐Nino events. Directional variability of the wave energy flux in the Western Pacific Ocean has previously been shown to be of importance to sand transport along the south‐eastern Australian margin, and the New Zealand region. The directional variability of the wave energy flux of the Southern Ocean associated with the SAM is expected to be of importance to the wave‐driven currents responsible for the transport of sand along coastal margins in the Southern Hemisphere, in particular those on the Southern and Western coastal margins of the Australian continent. Copyright © 2009 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
Cites
A dipole mode in the tropical Indian Ocean
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., & Yamagata, T. (1999) · Nature · doi:10.1038/43854 · Cited by 5,510
Interpretation of Recent Southern Hemisphere Climate Change
Thompson, D. W. J., & Solomon, S. (2002) · Science · doi:10.1126/science.1069270 · Cited by 1,904
Principal Component Analysis in Meteorology and Oceanography
Preisendorfer, R. W., & Mobley, C. D. (1988) · Cited by 1,785
Waves in Oceanic and Coastal Waters
Holthuijsen, L. H. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511618536 · Cited by 1,616
Inter-decadal modulation of the impact of ENSO on Australia
Power, S., Casey, T., Folland, C., Colman, A., & Mehta, V. (1999) · Climate Dynamics · doi:10.1007/s003820050284 · Cited by 1,479
Beach processes and sedimentation
(1998) · Choice Reviews Online · doi:10.5860/choice.36-1592 · Cited by 1,334
Definition of Antarctic Oscillation index
Gong, D., & Wang, S. (1999) · Geophysical Research Letters · doi:10.1029/1999gl900003 · Cited by 1,067
Longshore sand transport on beaches
Komar, P. D., & Inman, D. L. (1970) · Journal of Geophysical Research · doi:10.1029/jc075i030p05914 · Cited by 607
Simulation of Recent Southern Hemisphere Climate Change
Gillett, N. P., & Thompson, D. W. J. (2003) · Science · doi:10.1126/science.1087440 · Cited by 606
Wang, X. L., & Swail, V. R. (2001) · Journal of Climate · doi:10.1175/1520-0442(2001)014<2204:coewhi>2.0.co;2 · Cited by 552
Cited by
The role of coastal plant communities for climate change mitigation and adaptation
Duarte, C. M., Losada, I. J., Hendriks, I. E., Mazarrasa, I., & Marbà, N. (2013) · Nature Climate Change · doi:10.1038/nclimate1970 · Cited by 2,284
Global Trends in Wind Speed and Wave Height
Young, I. R., Zieger, S., & Babanin, A. V. (2011) · Science · doi:10.1126/science.1197219 · Cited by 1,045
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
A Global View on the Wind Sea and Swell Climate and Variability from ERA-40
Semedo, A., Sušelj, K., Rutgersson, A., & Sterl, A. (2011) · Journal of Climate · doi:10.1175/2010jcli3718.1 · Cited by 484
A global wave power resource and its seasonal, interannual and long-term variability
Reguero, B. G., Losada, I. J., & Méndez, F. J. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.03.114 · Cited by 383
Metadata
- Authors
- Hemer, M. A., Church, J. A., & Hunter, J. R.
- Venue
- International Journal of Climatology
- Publisher
- Wiley
- Published
- 2009-04-03
- Volume
- 30
- Issue
- 4
- Pages
- 475-491
- ISSN
- 0899-8418 (ISSN-L)
- 1097-0088
- OpenAlex
- W2016643802
- Cited by
- 276
- References
- 20
- FWCI
- 7.68
- Type
- journal article
- Language
- en
- Open access
- green
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: Variability and trends in the directional wave climate of the Southern Hemisphere. https://app.cochat.ai/papers/10.1002/joc.1900
- The paper
- Hemer, M. A., Church, J. A., & Hunter, J. R. (2010). Variability and trends in the directional wave climate of the Southern Hemisphere. International Journal of Climatology. https://doi.org/10.1002/joc.1900
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.