Detection and attribution of climate extremes in the observed record

Easterling, David R.; Kunkel, Kenneth E.; Wehner, Michael F.; Sun, Liqiang

doi:10.1016/j.wace.2016.01.001

Cited by 222Climate variability and modelsClimate Change and Environmental ImpactMeteorological Phenomena and Simulations

Detection and attribution of climate extremes in the observed record

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Easterling, David R., Kunkel, Kenneth E., Wehner, Michael F., Sun, Liqiang·2016·Weather and Climate Extremes

DOI 10.1016/j.wace.2016.01.001

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Abstract

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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It cannot be said with certainty that any one specific extreme weather event is directly caused by climate change.
“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]
Because of climate change, extreme weather is more generally on the rise, making extreme weather events more frequent, intense, and complex.
“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]
There is an increasingly strong body of literature highlighting causal linkages between climate change and extreme weather events.
“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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Detecting and Attributing Health Burdens to Climate Change
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The economic costs of Hurricane Harvey attributable to climate change
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Climate extremes and their impacts on agriculture across the Eastern Corn Belt Region of the U.S.
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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.
ORCID: Easterling, David R.
Kunkel, Kenneth E.
Wehner, Michael F.
Sun, Liqiang
Venue: Weather and Climate Extremes
Publisher: Elsevier BV
Published: 2016-03
Volume: 11
Pages: 17-27
ISSN: 2212-0947 (ISSN-L)
DOI: 10.1016/j.wace.2016.01.001
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 · 2015: 2
FWCI: 10.14
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
creativecommons.org/licenses/by/4.0/ (vor)
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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Detection and attribution of climate extremes in the observed record

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