The DOI matches its Crossref record; 82 of the 87 references it cites were found in a registry or an index.
Detection and attribution of climate extremes in the observed record
Open accessAbstract
We present an overview of practices and challenges related to the detection and attribution of observed changes in climate extremes. Detection is the identification of a statistically significant change in the extreme values of a climate variable over some period of time. Issues in detection discussed include data quality, coverage, and completeness. Attribution takes that detection of a change and uses climate model simulations to evaluate whether a cause can be assigned to that change. Additionally, we discuss a newer field of attribution, event attribution, where individual extreme events are analyzed for the express purpose of assigning some measure of whether that event was directly influenced by anthropogenic forcing of the climate system.
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“while we cannot say with certainty that any one specific extreme weather event is directly caused by climate change”
From Climate change and mental health: risks, impacts and priority actions (2018) · cites this paper as [48]
In the citing paper
“we do know that because of climate change, extreme weather is more generally on the rise, making extreme weather events more frequent, intense, and complex.”
From Climate change and mental health: risks, impacts and priority actions (2018) · cites this paper as [48]
In the citing paper
“There is now an increasingly strong body of literature which highlights the causal linkages between climate change and extreme weather events (see [45–50]).”
From Climate change and mental health: risks, impacts and priority actions (2018) · cites this paper as [48]
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Metadata
- Authors
- Easterling, D. R., Kunkel, K. E., Wehner, M. F., & Sun, L.
- Affiliations
- National Oceanic and Atmospheric Administration (US)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Easterling, David R.
- Venue
- Weather and Climate Extremes
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 11
- Pages
- 17-27
- ISSN
- 2212-0947 (ISSN-L)
- OpenAlex
- W2278233808
- Cited by
- 218
- References
- 87
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 28 · 2023: 26 · 2022: 41 · 2021: 29 · 2020: 21 · 2019: 14 · 2018: 9 · 2017: 15 · 2016: 3
- FWCI
- 10.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Weather and Climate Extremes (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- NOAA Institutional Repository (submittedVersion, cc-by)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- World Meteorological Organization’s
- 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 extremes, detection and attribution, event attribution, anthropogenic forcing, climate model simulation, extreme value statistics, data quality, data coverage
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