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Attribution of Weather and Climate Events

Otto, Friederike E.L.·2017·Annual Review of Environment and Resources

DOI 10.1146/annurev-environ-102016-060847

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Abstract

Within the past decade, the attribution of extreme weather and climate events has emerged from a theoretical possibility into a subfield of climate science in its own right, providing scientific evidence on the role of anthropogenic climate change in individual extreme weather events, on a regular basis and using a range of approaches. Different approaches and thus different framings of the attribution question lead to very different assessments of the role of human-induced climate change. Although there is no right or wrong approach, the community is currently debating about the appropriate methodologies for addressing various stakeholder needs and scientific limitations. Tackling these limitations with more thorough model evaluation and meaningful bias corrections as well as going beyond the meteorological hazard and attributing the full impacts of extreme weather are the main challenges to face in the coming years.

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Authors: Otto, F. E. L.
Affiliations: University of Oxford (GB)
Corresponding author: Otto, Friederike E.L.
ORCID: Otto, Friederike E.L.
Venue: Annual Review of Environment and Resources
Publisher: Annual Reviews
Published: 2017-10-17
Volume: 42
Issue: 1
Pages: 627-646
ISSN: 1543-5938 (ISSN-L)
1545-2050
DOI: 10.1146/annurev-environ-102016-060847
OpenAlex: W2727924148
Cited by: 209
References: 61
Citations by year: 2026: 25 · 2025: 18 · 2024: 31 · 2023: 31 · 2022: 29 · 2021: 34 · 2020: 26 · 2019: 6 · 2018: 8 · 2017: 1
FWCI: 1.09
Type: journal article
Language: en
Open access: closed
Locations: Annual Review of Environment and Resources (publishedVersion)
Topics: Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Environmental Impact
Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Keywords: climate change attribution, anthropogenic climate change, climate model evaluation, bias correction, stakeholder needs

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