The DOI matches its Crossref record; 281 of the 281 references it cites were found in a registry or an index.
Extreme weather impacts of climate change: an attribution perspective
Open accessAbstract
Extreme event attribution aims to elucidate the link between global climate change, extreme weather events, and the harms experienced on the ground by people, property, and nature. It therefore allows the disentangling of different drivers of extreme weather from human-induced climate change and hence provides valuable information to adapt to climate change and to assess loss and damage. However, providing such assessments systematically is currently out of reach. This is due to limitations in attribution science, including the capacity for studying different types of events, as well as the geographical heterogeneity of both climate and impact data availability. Here, we review current knowledge of the influences of climate change on five different extreme weather hazards (extreme temperatures, heavy rainfall, drought, wildfire, tropical cyclones), the impacts of recent extreme weather events of each type, and thus the degree to which various impacts are attributable to climate change. For instance, heat extremes have increased in likelihood and intensity worldwide due to climate change, with tens of thousands of deaths directly attributable. This is likely a significant underestimate due to the limited availability of impact information in lower- and middle-income countries. Meanwhile, tropical cyclone rainfall and storm surge height have increased for individual events and across all basins. In the North Atlantic basin, climate change amplified the rainfall of events that, combined, caused half a trillion USD in damages. At the same time, severe droughts in many parts of the world are not attributable to climate change. To advance our understanding of present-day extreme weather impacts due to climate change developments on several levels are required. These include improving the recording of extreme weather impacts around the world, improving the coverage of attribution studies across different events and regions, and using attribution studies to explore the contributions of both climate and non-climate drivers of impacts.
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
The State of Food Security and Nutrition in the World 2026
(2026) · FAO · doi:10.4060/cd8306en · Cited by 3,770
Impact of anthropogenic climate change on wildfire across western US forests
Abatzoglou, J. T., & Williams, A. P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1607171113 · Cited by 3,073
Mortality risk attributable to high and low ambient temperature: a multicountry observational study
Gasparrini, A., Guo, Y., Hashizume, M., Lavigne, E., Zanobetti, A., Schwartz, J., Tobias, A., Tong, S., Rocklöv, J., Forsberg, B., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)62114-0 · Cited by 2,965
Mora, C., Dousset, B., Caldwell, I. R., Powell, F. E., Geronimo, R. C., Bielecki, C. R., Counsell, C. W. W., Dietrich, B. S., Johnston, E. T., Louis, L. V., et al. (2017) · Nature Climate Change · doi:10.1038/nclimate3322 · Cited by 1,746
Human contribution to the European heatwave of 2003
Stott, P. A., Stone, D. A., & Allen, M. R. (2004) · Nature · doi:10.1038/nature03089 · Cited by 1,735
The Hot Summer of 2010: Redrawing the Temperature Record Map of Europe
Barriopedro, D., Fischer, E. M., Luterbacher, J., Trigo, R. M., & García-Herrera, R. (2011) · Science · doi:10.1126/science.1201224 · Cited by 1,656
Satellite imaging reveals increased proportion of population exposed to floods
Tellman, B., Sullivan, J. A., Kuhn, C., Kettner, A. J., Doyle, C. S., Brakenridge, G. R., Erickson, T. A., & Slayback, D. A. (2021) · Nature · doi:10.1038/s41586-021-03695-w · Cited by 1,463
Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes
Fischer, E. M., & Knutti, R. (2015) · Nature Climate Change · doi:10.1038/nclimate2617 · Cited by 1,427
Critical Review of Health Impacts of Wildfire Smoke Exposure
Reid, C. E., Brauer, M., Johnston, F. H., Jerrett, M., Balmes, J. R., & Elliott, C. T. (2016) · Environmental Health Perspectives · doi:10.1289/ehp.1409277 · Cited by 1,396
Anthropogenic warming has increased drought risk in California
Diffenbaugh, N. S., Swain, D. L., & Touma, D. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422385112 · Cited by 1,386
Cited by
Vanos, J., Guzman-Echavarria, G., Baldwin, J. W., Bongers, C., Ebi, K. L., & Jay, O. (2023) · Nature Communications · doi:10.1038/s41467-023-43121-5 · Cited by 206
Climate-induced migration in the Global South: an in depth analysis
Almulhim, A. I., Alverio, G. N., Sharifi, A., Shaw, R., Huq, S., Mahmud, M. J., Ahmad, S., & Abubakar, I. R. (2024) · npj Climate Action · doi:10.1038/s44168-024-00133-1 · Cited by 164
Regional Heatwave Prediction Using Graph Neural Network and Weather Station Data
Li, P., Yu, Y., Huang, D., Wang, Z., & Sharma, A. (2023) · Geophysical Research Letters · doi:10.1029/2023gl103405 · Cited by 57
Metadata
- Authors
- Clarke, B., Otto, F., Stuart-Smith, R., & Harrington, L.
- Venue
- Environmental Research: Climate
- Publisher
- IOP Publishing
- Published
- 2022-06-28
- Volume
- 1
- Issue
- 1
- Pages
- 012001
- ISSN
- 2752-5295 (ISSN-L)
- OpenAlex
- W4283641177
- Cited by
- 573
- References
- 281
- FWCI
- 49.02
- Type
- journal article
- Language
- en
- Open access
- gold
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: Extreme weather impacts of climate change: an attribution perspective. https://app.cochat.ai/papers/10.1088/2752-5295/ac6e7d
- The paper
- Clarke, B., Otto, F., Stuart-Smith, R., & Harrington, L. (2022). Extreme weather impacts of climate change: an attribution perspective. Environmental Research: Climate. https://doi.org/10.1088/2752-5295/ac6e7d
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.