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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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Solomon, S. (2007) · Cited by 17,554
Estimates of the Regression Coefficient Based on Kendall's Tau
Sen, P. K. (1968) · Journal of the American Statistical Association · doi:10.1080/01621459.1968.10480934 · Cited by 15,277
An Introduction to Statistical Modeling of Extreme Values
Coles, S. (2001) · Springer Series in Statistics · doi:10.1007/978-1-4471-3675-0 · Cited by 7,352
Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change
(2012) · doi:10.1017/cbo9781139177245 · Cited by 7,236
Climate Extremes: Observations, Modeling, and Impacts
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R., & Mearns, L. O. (2000) · Science · doi:10.1126/science.289.5487.2068 · Cited by 4,945
Self-citation
Increasing drought under global warming in observations and models
Dai, A. (2013) · Nature Climate Change · doi:10.1038/nclimate1633 · Cited by 4,762
Global observed changes in daily climate extremes of temperature and precipitation
Alexander, L. V., Zhang, X., Peterson, T. C., Caesar, J., Gleason, B., Klein Tank, A. M. G., Haylock, M., Collins, D., Trewin, B., Rahimzadeh, F., et al. (2006) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2005jd006290 · Cited by 4,492
Changes in Climate Extremes and their Impacts on the Natural Physical Environment
Seneviratne, S. I., Nicholls, N., Easterling, D. R., Goodess, C. M., Kanae, S., Kossin, J. P., Luo, Y., Marengo, J. A., McInnes, K. L., Rahimi, M., et al. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139177245.006 · Cited by 2,609
Self-citation
Death toll exceeded 70,000 in Europe during the summer of 2003
Robine, J.-M., Cheung, S. L. K., Le Roy, S., Van Oyen, H., Griffiths, C., Michel, J.-P., & Herrmann, F. R. (2007) · Comptes Rendus. Biologies · doi:10.1016/j.crvi.2007.12.001 · Cited by 2,127 · cited 1×
“The chance of this particularly deadly heatwave, associated with up to 70,000 excess deaths (Robine et al., 2008), was found to be at least doubled by anthropogenic changes to the climate system.”
Human contribution to more-intense precipitation extremes
Min, S., Zhang, X., Zwiers, F. W., & Hegerl, G. C. (2011) · Nature · doi:10.1038/nature09763 · Cited by 2,094

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Folland, 2014, The International CLIVAR Climate of the 20th Century Plus (C20C+) Project: Report of the Sixth Workshop, CLIVAR Exch., 19, 57
van Oldenborgh, 2012, The absence of a role of climate change in the 2011 Thailand floods, Bull. Am. Met. Soc, 93, 1047

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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
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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