The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
On the Remote Drivers of Rainfall Variability in Australia
Abstract
This work identifies and documents a suite of large-scale drivers of rainfall variability in the Australian region. The key driver in terms of broad influence and impact on rainfall is the El Niño–Southern Oscillation (ENSO). ENSO is related to rainfall over much of the continent at different times, particularly in the north and east, with the regions of influence shifting with the seasons. The Indian Ocean dipole (IOD) is particularly important in the June–October period, which spans much of the wet season in the southwest and southeast where IOD has an influence. ENSO interacts with the IOD in this period such that their separate regions of influence cover the entire continent. Atmospheric blocking also becomes most important during this period and has an influence on rainfall across the southern half of the continent. The Madden–Julian oscillation can influence rainfall in different parts of the continent in different seasons, but its impact is strongest on the monsoonal rains in the north. The influence of the southern annular mode is mostly confined to the southwest and southeast of the continent. The patterns of rainfall relationship to each of the drivers exhibit substantial decadal variability, though the characteristic regions described above do not change markedly. The relationships between large-scale drivers and rainfall are robust to the selection of typical indices used to represent the drivers. In most regions the individual drivers account for less than 20% of monthly rainfall variability, though the drivers relate to a predictable component of this variability. The amount of rainfall variance explained by individual drivers is highest in eastern Australia and in spring, where it approaches 50% in association with ENSO and blocking.
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
El Niño Modoki and its possible teleconnection
Ashok, K., Behera, S. K., Rao, S. A., Weng, H., & Yamagata, T. (2007) · Journal of Geophysical Research: Oceans · doi:10.1029/2006jc003798 · Cited by 2,721
Cited by
El Niño–Southern Oscillation complexity
Timmermann, A., An, S.-I., Kug, J.-S., Jin, F.-F., Cai, W., Capotondi, A., Cobb, K. M., Lengaigne, M., McPhaden, M. J., Stuecker, M. F., et al. (2018) · Nature · doi:10.1038/s41586-018-0252-6 · Cited by 1,204
Mekanik, F., Imteaz, M. A., Gato-Trinidad, S., & Elmahdi, A. (2013) · Journal of Hydrology · doi:10.1016/j.jhydrol.2013.08.035 · Cited by 310
Verdon‐Kidd, D. C., & Kiem, A. S. (2009) · Geophysical Research Letters · doi:10.1029/2009gl041067 · Cited by 301
Understanding the variability of Australian fire weather between 1973 and 2017
Harris, S., & Lucas, C. (2019) · PLOS ONE · doi:10.1371/journal.pone.0222328 · Cited by 154
Sadras, V. O., Hayman, P. T., Rodriguez, D., Monjardino, M., Bielich, M., Unkovich, M., Mudge, B., & Wang, E. (2016) · Crop & Pasture Science · doi:10.1071/cp16027 · Cited by 142
Metadata
- Authors
- Risbey, J. S., Pook, M. J., McIntosh, P. C., Wheeler, M. C., & Hendon, H. H.
- Venue
- Monthly Weather Review
- Publisher
- American Meteorological Society
- Published
- 2009-10-01
- Volume
- 137
- Issue
- 10
- Pages
- 3233-3253
- ISSN
- 0027-0644 (ISSN-L)
- 1520-0493
- OpenAlex
- W2080739280
- Cited by
- 810
- References
- 2
- FWCI
- 22.52
- 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: On the Remote Drivers of Rainfall Variability in Australia. https://app.cochat.ai/papers/10.1175/2009mwr2861.1
- The paper
- Risbey, J. S., Pook, M. J., McIntosh, P. C., Wheeler, M. C., & Hendon, H. H. (2009). On the Remote Drivers of Rainfall Variability in Australia. Monthly Weather Review. https://doi.org/10.1175/2009mwr2861.1
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.