The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Subtropical High predictability establishes a promising way for monsoon and tropical storm predictions
Open accessAbstract
Monsoon rainfall and tropical storms (TSs) impose great impacts on society, yet their seasonal predictions are far from successful. The western Pacific Subtropical High (WPSH) is a prime circulation system affecting East Asian summer monsoon (EASM) and western North Pacific TS activities, but the sources of its variability and predictability have not been established. Here we show that the WPSH variation faithfully represents fluctuations of EASM strength ( r = –0.92), the total TS days over the subtropical western North Pacific ( r = –0.81), and the total number of TSs impacting East Asian coasts ( r = –0.76) during 1979–2009. Our numerical experiment results establish that the WPSH variation is primarily controlled by central Pacific cooling/warming and a positive atmosphere-ocean feedback between the WPSH and the Indo-Pacific warm pool oceans. With a physically based empirical model and the state-of-the-art dynamical models, we demonstrate that the WPSH is highly predictable; this predictability creates a promising way for prediction of monsoon and TS. The predictions using the WPSH predictability not only yields substantially improved skills in prediction of the EASM rainfall, but also enables skillful prediction of the TS activities that the current dynamical models fail. Our findings reveal that positive WPSH–ocean interaction can provide a source of climate predictability and highlight the importance of subtropical dynamics in understanding monsoon and TS predictability.
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
NCEP–DOE AMIP-II reanalysis (R-2)
Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S.-K., Hnilo, J. J., Fiorino, M., & Potter, G. L. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/bams-83-11-1631 · Cited by 5,771
Improvements to NOAA’s Historical Merged Land–Ocean Surface Temperature Analysis (1880–2006)
Smith, T. M., Reynolds, R. W., Peterson, T. C., & Lawrimore, J. (2008) · Journal of Climate · doi:10.1175/2007jcli2100.1 · Cited by 2,923
Pacific–East Asian Teleconnection: How Does ENSO Affect East Asian Climate?
Wang, B., Wu, R., & Fu, X. (2000) · Journal of Climate · doi:10.1175/1520-0442(2000)013<1517:peathd>2.0.co;2 · Cited by 2,916
Self-citationIndian Ocean Capacitor Effect on Indo–Western Pacific Climate during the Summer following El Niño
Xie, S.-P., Hu, K., Hafner, J., Tokinaga, H., Du, Y., Huang, G., & Sampe, T. (2009) · Journal of Climate · doi:10.1175/2008jcli2544.1 · Cited by 2,030
Roeckner, E., Arpe, K., Bengtsson, L. O., Christoph, M., Claussen, M. A., Dümenil, L., Esch, M., Giorgetta, M. A., Schlese, U., & Schulzweida, U. (1996) · CentAUR (University of Reading) · doi:10.17617/2.1781494 · Cited by 1,382
Wang, B., Wu, R., & Lau, K.-M. (2001) · Journal of Climate · doi:10.1175/1520-0442(2001)014<4073:ivotas>2.0.co;2 · Cited by 1,060
Self-citationImproving the global precipitation record: GPCP Version 2.1
Huffman, G. J., Adler, R. F., Bolvin, D. T., & Gu, G. (2009) · Geophysical Research Letters · doi:10.1029/2009gl040000 · Cited by 1,027
Cross-Validation in Statistical Climate Forecast Models
Michaelsen, J. (1987) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1987)026<1589:cviscf>2.0.co;2 · Cited by 818
Chang, C.-P., Zhang, Y., & Li, T. (2000) · Journal of Climate · doi:10.1175/1520-0442(2000)013<4310:iaivot>2.0.co;2 · Cited by 789
Impact of the Indian Ocean SST basin mode on the Asian summer monsoon
Yang, J., Liu, Q., Xie, S., Liu, Z., & Wu, L. (2007) · Geophysical Research Letters · doi:10.1029/2006gl028571 · Cited by 773
Cited by
Dunstone, N., Smith, D. M., Hardiman, S. C., Davies, P., Ineson, S., Jain, S., Kent, C., Martin, G., & Scaife, A. A. (2023) · Nature Communications · doi:10.1038/s41467-023-42377-1 · Cited by 32
Metadata
- Authors
- Wang, B., Xiang, B., & Lee, J.-Y.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-01-22
- Volume
- 110
- Issue
- 8
- Pages
- 2718-2722
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2026585731
- Cited by
- 658
- References
- 25
- FWCI
- 26.44
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Subtropical High predictability establishes a promising way for monsoon and tropical storm predictions. https://app.cochat.ai/papers/10.1073/pnas.1214626110
- The paper
- Wang, B., Xiang, B., & Lee, J.-Y. (2013). Subtropical High predictability establishes a promising way for monsoon and tropical storm predictions. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1214626110
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.