The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
Monsoons Climate Change Assessment
Open accessAbstract
Monsoon rainfall has profound economic and societal impacts for more than two-thirds of the global population. Here we provide a review on past monsoon changes and their primary drivers, the projected future changes, and key physical processes, and discuss challenges of the present and future modeling and outlooks. Continued global warming and urbanization over the past century has already caused a significant rise in the intensity and frequency of extreme rainfall events in all monsoon regions (high confidence). Observed changes in the mean monsoon rainfall vary by region with significant decadal variations. Northern Hemisphere land monsoon rainfall as a whole declined from 1950 to 1980 and rebounded after the 1980s, due to the competing influences of internal climate variability and radiative forcing from greenhouse gases and aerosol forcing (high confidence); however, it remains a challenge to quantify their relative contributions. The CMIP6 models simulate better global monsoon intensity and precipitation over CMIP5 models, but common biases and large intermodal spreads persist. Nevertheless, there is high confidence that the frequency and intensity of monsoon extreme rainfall events will increase, alongside an increasing risk of drought over some regions. Also, land monsoon rainfall will increase in South Asia and East Asia (high confidence) and northern Africa (medium confidence), decrease in North America, and be unchanged in the Southern Hemisphere. Over the Asian–Australian monsoon region, the rainfall variability is projected to increase on daily to decadal scales. The rainy season will likely be lengthened in the Northern Hemisphere due to late retreat (especially over East Asia), but shortened in the Southern Hemisphere due to delayed onset.
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
Robust Responses of the Hydrological Cycle to Global Warming
Held, I. M., & Soden, B. J. (2006) · Journal of Climate · doi:10.1175/jcli3990.1 · Cited by 4,959
Increasing Trend of Extreme Rain Events Over India in a Warming Environment
Goswami, B. N., Venugopal, V., Sengupta, D., Madhusoodanan, M. S., & Xavier, P. K. (2006) · Science · doi:10.1126/science.1132027 · Cited by 2,093
Climate Change, Deforestation, and the Fate of the Amazon
Malhi, Y., Roberts, J. T., Betts, R. A., Killeen, T. J., Li, W., & Nobre, C. A. (2008) · Science · doi:10.1126/science.1146961 · Cited by 1,754
Causes of Higher Climate Sensitivity in CMIP6 Models
Zelinka, M. D., Myers, T. A., McCoy, D. T., Po‐Chedley, S., Caldwell, P. M., Ceppi, P., Klein, S. A., & Taylor, K. E. (2020) · Geophysical Research Letters · doi:10.1029/2019gl085782 · Cited by 1,747
Knutson, T., Camargo, S. J., Chan, J. C. L., Emanuel, K., Ho, C.-H., Kossin, J., Mohapatra, M., Satoh, M., Sugi, M., Walsh, K., et al. (2020) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-18-0194.1 · Cited by 1,356
Anthropogenic Aerosols and the Weakening of the South Asian Summer Monsoon
Bollasina, M. A., Ming, Y., & Ramaswamy, V. (2011) · Science · doi:10.1126/science.1204994 · Cited by 1,107
The future intensification of hourly precipitation extremes
Prein, A. F., Rasmussen, R. M., Ikeda, K., Liu, C., Clark, M. P., & Holland, G. J. (2017) · Nature Climate Change · doi:10.1038/nclimate3168 · Cited by 987
Aerosol and monsoon climate interactions over Asia
Li, Z., Lau, W. K. ‐., Ramanathan, V., Wu, G., Ding, Y., Manoj, M. G., Liu, J., Qian, Y., Li, J., Zhou, T., et al. (2016) · Reviews of Geophysics · doi:10.1002/2015rg000500 · Cited by 881
Self-citationClimate Phenomena and their Relevance for Future Regional Climate Change
(2014) · Climate Change 2013 – The Physical Science Basis · doi:10.1017/cbo9781107415324.028 · Cited by 863
Roxy, M. K., Ritika, K., Terray, P., Murtugudde, R., Ashok, K., & Goswami, B. N. (2015) · Nature Communications · doi:10.1038/ncomms8423 · Cited by 863
Self-citation
Cited by
Climate data uncertainty for agricultural impact assessments in West Africa
Romanovska, P., Gleixner, S., & Gornott, C. (2023) · Theoretical and Applied Climatology · doi:10.1007/s00704-023-04430-3 · Cited by 16
Metadata
- Authors
- Wang, B., Biasutti, M., Byrne, M. P., Castro, C., Chang, C.-P., Cook, K., Fu, R., Grimm, A. M., Ha, K.-J., Hendon, H., Kitoh, A., Krishnan, R., Lee, J.-Y., Li, J., Liu, J., Moise, A., Pascale, S., Roxy, M. K., Seth, A., Sui, C.-H., Turner, A., Yang, S., Yun, K.-S., Zhang, L., & Zhou, T.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2021-01
- Volume
- 102
- Issue
- 1
- Pages
- E1-E19
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W3022524405
- Cited by
- 268
- References
- 132
- FWCI
- 13.55
- 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: Monsoons Climate Change Assessment. https://app.cochat.ai/papers/10.1175/bams-d-19-0335.1
- The paper
- Wang, B., Biasutti, M., Byrne, M. P., Castro, C., Chang, C.-P., Cook, K., Fu, R., Grimm, A. M., Ha, K.-J., Hendon, H., Kitoh, A., Krishnan, R., Lee, J.-Y., Li, J., Liu, J., Moise, A., Pascale, S., Roxy, M. K., Seth, A., . . . Zhou, T. (2021). Monsoons Climate Change Assessment. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-19-0335.1
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.