DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Toward Calibrated Language for Effectively Communicating the Results of Extreme Event Attribution Studies

Abstract

Extreme event attribution studies attempt to quantify the role of human influences in observed weather and climate extremes. These studies are of broad scientific and public interest, although quantitative results (e.g., that a specific event was made a specific number of times more likely because of anthropogenic forcings) can be difficult to communicate accurately to a variety of audiences and difficult for audiences to interpret. Here, we focus on how results of these studies can be effectively communicated using standardized language and propose, for the first time, a set of calibrated terms to describe event attribution results. Using these terms and an accompanying visual guide, results are presented in terms of likelihood of event changes and the associated uncertainties. This standardized language will allow clearer communication and interpretation of probabilities by the public and stakeholders.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [3]
  1. Univ. of New South Wales, Sydney, NSW (Australia)
  2. Univ. of Melbourne, Parkville, VIC (Australia)
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); Australian Research Council (ARC)
OSTI Identifier:
1581076
Grant/Contract Number:  
AC02-05CH11231; DE180100638; FT170100106; DE160100092
Resource Type:
Accepted Manuscript
Journal Name:
Earth's Future
Additional Journal Information:
Journal Volume: 7; Journal Issue: 9; Journal ID: ISSN 2328-4277
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Lewis, Sophie C., King, Andrew D., Perkins‐Kirkpatrick, Sarah E., and Wehner, Michael F. Toward Calibrated Language for Effectively Communicating the Results of Extreme Event Attribution Studies. United States: N. p., 2019. Web. doi:10.1029/2019ef001273.
Lewis, Sophie C., King, Andrew D., Perkins‐Kirkpatrick, Sarah E., & Wehner, Michael F. Toward Calibrated Language for Effectively Communicating the Results of Extreme Event Attribution Studies. United States. https://doi.org/10.1029/2019ef001273
Lewis, Sophie C., King, Andrew D., Perkins‐Kirkpatrick, Sarah E., and Wehner, Michael F. Tue . "Toward Calibrated Language for Effectively Communicating the Results of Extreme Event Attribution Studies". United States. https://doi.org/10.1029/2019ef001273. https://www.osti.gov/servlets/purl/1581076.
@article{osti_1581076,
title = {Toward Calibrated Language for Effectively Communicating the Results of Extreme Event Attribution Studies},
author = {Lewis, Sophie C. and King, Andrew D. and Perkins‐Kirkpatrick, Sarah E. and Wehner, Michael F.},
abstractNote = {Extreme event attribution studies attempt to quantify the role of human influences in observed weather and climate extremes. These studies are of broad scientific and public interest, although quantitative results (e.g., that a specific event was made a specific number of times more likely because of anthropogenic forcings) can be difficult to communicate accurately to a variety of audiences and difficult for audiences to interpret. Here, we focus on how results of these studies can be effectively communicated using standardized language and propose, for the first time, a set of calibrated terms to describe event attribution results. Using these terms and an accompanying visual guide, results are presented in terms of likelihood of event changes and the associated uncertainties. This standardized language will allow clearer communication and interpretation of probabilities by the public and stakeholders.},
doi = {10.1029/2019ef001273},
journal = {Earth's Future},
number = 9,
volume = 7,
place = {United States},
year = {2019},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Assigning historic responsibility for extreme weather events
journal, November 2017

  • Otto, Friederike E. L.; Skeie, Ragnhild B.; Fuglestvedt, Jan S.
  • Nature Climate Change, Vol. 7, Issue 11
  • DOI: 10.1038/nclimate3419

Reconciling two approaches to attribution of the 2010 Russian heat wave: RUSSIAN HEAT WAVE 2010
journal, February 2012

  • Otto, F. E. L.; Massey, N.; van Oldenborgh, G. J.
  • Geophysical Research Letters, Vol. 39, Issue 4
  • DOI: 10.1029/2011GL050422

An Independent Assessment of Anthropogenic Attribution Statements for Recent Extreme Temperature and Rainfall Events
journal, January 2017


Dramatically increasing chance of extremely hot summers since the 2003 European heatwave
journal, December 2014

  • Christidis, Nikolaos; Jones, Gareth S.; Stott, Peter A.
  • Nature Climate Change, Vol. 5, Issue 1
  • DOI: 10.1038/nclimate2468

Adapting attribution science to the climate extremes of tomorrow
journal, December 2018

  • Harrington, Luke J.; Otto, Friederike E. L.
  • Environmental Research Letters, Vol. 13, Issue 12
  • DOI: 10.1088/1748-9326/aaf4cc

Quantitative attribution of climate effects on Hurricane Harvey’s extreme rainfall in Texas
journal, April 2018

  • Wang, S-Y Simon; Zhao, Lin; Yoon, Jin-Ho
  • Environmental Research Letters, Vol. 13, Issue 5
  • DOI: 10.1088/1748-9326/aabb85

Anthropogenic contributions to Australia's record summer temperatures of 2013: AUSTRALIA'S RECORD SUMMER OF 2013
journal, July 2013

  • Lewis, Sophie C.; Karoly, David J.
  • Geophysical Research Letters, Vol. 40, Issue 14
  • DOI: 10.1002/grl.50673

Liability for climate change
journal, February 2003


Explaining Extreme Events of 2013 from a Climate Perspective
journal, September 2014

  • Herring, Stephanie C.; Hoerling, Martin P.; Peterson, Thomas C.
  • Bulletin of the American Meteorological Society, Vol. 95, Issue 9
  • DOI: 10.1175/1520-0477-95.9.S1.1

A Multifactor Risk Analysis of the Record 2016 Great Barrier Reef Bleaching
journal, January 2018

  • Lewis, Sophie C.; Mallela, Jennie
  • Bulletin of the American Meteorological Society, Vol. 99, Issue 1
  • DOI: 10.1175/BAMS-D-17-0074.1

The High Latitude Marine Heat Wave of 2016 and Its Impacts on Alaska
journal, January 2018

  • Walsh, John E.; Thoman, Richard L.; Bhatt, Uma S.
  • Bulletin of the American Meteorological Society, Vol. 99, Issue 1
  • DOI: 10.1175/BAMS-D-17-0105.1

CMIP5 Model-based Assessment of Anthropogenic Influence on Record Global Warmth During 2016
journal, January 2018

  • Knutson, Thomas R.; Kam, Jonghun; Zeng, Fanrong
  • Bulletin of the American Meteorological Society, Vol. 99, Issue 1
  • DOI: 10.1175/BAMS-D-17-0104.1

Are estimates of anthropogenic and natural influences on Australia’s extreme 2010–2012 rainfall model-dependent?
journal, August 2014


Comparing regional precipitation and temperature extremes in climate model and reanalysis products
journal, September 2016

  • Angélil, Oliver; Perkins-Kirkpatrick, Sarah; Alexander, Lisa V.
  • Weather and Climate Extremes, Vol. 13
  • DOI: 10.1016/j.wace.2016.07.001

An Overview of CMIP5 and the Experiment Design
journal, April 2012

  • Taylor, Karl E.; Stouffer, Ronald J.; Meehl, Gerald A.
  • Bulletin of the American Meteorological Society, Vol. 93, Issue 4
  • DOI: 10.1175/BAMS-D-11-00094.1

The IPCC AR5 guidance note on consistent treatment of uncertainties: a common approach across the working groups
journal, August 2011

  • Mastrandrea, Michael D.; Mach, Katharine J.; Plattner, Gian-Kasper
  • Climatic Change, Vol. 108, Issue 4
  • DOI: 10.1007/s10584-011-0178-6

Defining Single Extreme Weather Events in a Climate Perspective
journal, August 2018

  • Cattiaux, Julien; Ribes, Aurélien
  • Bulletin of the American Meteorological Society, Vol. 99, Issue 8
  • DOI: 10.1175/BAMS-D-17-0281.1

Climate Change Increased the Likelihood of the 2016 Heat Extremes in Asia
journal, January 2018

  • Imada, Yukiko; Shiogama, Hideo; Takahashi, Chiharu
  • Bulletin of the American Meteorological Society, Vol. 99, Issue 1
  • DOI: 10.1175/BAMS-D-17-0109.1

Comparison of methods: Attributing the 2014 record European temperatures to human influences: COMPARING ATTRIBUTION, EUROPE 2014 TEMPERATURE
journal, August 2016

  • Uhe, P.; Otto, F. E. L.; Haustein, K.
  • Geophysical Research Letters, Vol. 43, Issue 16
  • DOI: 10.1002/2016GL069568

The polarizing impact of science literacy and numeracy on perceived climate change risks
journal, May 2012

  • Kahan, Dan M.; Peters, Ellen; Wittlin, Maggie
  • Nature Climate Change, Vol. 2, Issue 10
  • DOI: 10.1038/nclimate1547

Effective communication of uncertainty in the IPCC reports
journal, November 2011


Tracking the El Niño-Southern Oscillation in real-time: a staged communication approach to event onset
journal, January 2017

  • Gamble, Felicity; Beard, Grant; Watkins, Andrew
  • Journal of Southern Hemisphere Earth System Science, Vol. 67, Issue 2
  • DOI: 10.22499/3.6702.001

The interpretation of IPCC probabilistic statements around the world
journal, April 2014

  • Budescu, David V.; Por, Han-Hui; Broomell, Stephen B.
  • Nature Climate Change, Vol. 4, Issue 6
  • DOI: 10.1038/nclimate2194

Visualizing Uncertainty About the Future
journal, September 2011


Quantifying statistical uncertainty in the attribution of human influence on severe weather
journal, June 2018

  • Paciorek, Christopher J.; Stone, Dáithí A.; Wehner, Michael F.
  • Weather and Climate Extremes, Vol. 20
  • DOI: 10.1016/j.wace.2018.01.002

The Role of Natural Variability and Anthropogenic Climate Change in the 2017/18 Tasman Sea Marine Heatwave
journal, January 2019

  • Perkins-Kirkpatrick, S. E.; King, A. D.; Cougnon, E. A.
  • Bulletin of the American Meteorological Society, Vol. 100, Issue 1
  • DOI: 10.1175/BAMS-D-18-0116.1

Human contribution to the European heatwave of 2003
journal, December 2004

  • Stott, Peter A.; Stone, D. A.; Allen, M. R.
  • Nature, Vol. 432, Issue 7017
  • DOI: 10.1038/nature03089

The IPCC AR5 guidance note on consistent treatment of uncertainties: a common approach across the working groups
text, January 2011

  • Mastrandrea, Michael D.; Mach, Katharine J.; Plattner, Gian-Kasper
  • Springer
  • DOI: 10.48350/155719

Tracking the El Nino-Southern Oscillation in real-time: a staged communication approach to event onset
journal, January 2017

  • Gamble, Felicity; Beard, Grant; Watkins, Andrew
  • Journal of Southern Hemisphere Earth Systems Science, Vol. 67, Issue 2
  • DOI: 10.1071/es17006

The IPCC AR5 guidance note on consistent treatment of uncertainties: A common approach across the working groups
other, January 2011

  • Mastrandrea, Michael D.; Mach, Katharine J.; Plattner, Gian-Kasper
  • Heidelberg : Springer
  • DOI: 10.34657/1333

Quantifying statistical uncertainty in the attribution of human influence on severe weather
preprint, January 2017