Rapidly declining remarkability of temperature anomalies may obscure public perception of climate change

Frances C. Moore1, Nick Obradovich2, Flavio Lehner3, Patrick Baylis4
1Department of Environmental Science and Policy, University of California, Davis, CA 95616.
2Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139;
3Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80305
4Vancouver School of Economics, University of British Columbia, Vancouver, BC, Canada V6T 1Z4

Tóm tắt

SignificanceClimate change exposes people to conditions that are historically unusual but that will become increasingly common over time. What kind of weather do people think of as normal or unusual under these changing conditions? We use the volume of social media posts about weather to measure the remarkability of different temperatures and show that remarkability changes rapidly with repeated exposure to unusual temperatures. The reference point for normal conditions appears to be based on weather experienced between 2 and 8 y ago. This rapidly shifting normal baseline means warming noticed by the general public may not be clearly distinguishable from zero over the 21st century, with potential implications for both the acceptance of global warming and public pressure for mitigation policies.

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Tài liệu tham khảo

10.1038/nclimate2660

10.1007/s10584-011-0112-y

NL Bindoff, , Detection and attribution of climate change: From global to regional. Climate Change 2013: The Physical Science Basis. Contribution of Working Group 1 to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, eds TF Stocker, (Cambridge Univ Press, Cambridge, UK), pp. 867–952 (2013).

10.1175/JCLI-D-16-0792.1

; IPCC Climate Change 2013: The Physical Science Basis. Contribution of Working Group 1 to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, eds TF Stocker, (Cambridge Univ Press, Cambridge, UK, 2013).

; IPCC Summary for Policymakers. Climate Change 2014: Impacts, Adaptation and Vulnerability. Working Group 2 Contribution to the IPCC 5th Assessment Report, eds CB Field, (Cambridge Univ Press, Cambridge, UK, 2014).

10.1126/science.185.4157.1124

10.1038/nclimate3297

10.1111/ropr.12067

10.1175/WCAS-D-12-00048.1

10.1038/nclimate2443

JW Kingdon Agendas, Alternatives and Public Policy (Pearson, 2nd Ed, London, 2010).

10.1080/13876988.2016.1174410

CJ Hutto, EE Gilbert, VADER: A parsimonious rule-based model for sentiment analysis of social media text. Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media (Assoc for the Advancement of Artificial Intelligence, Palo Alto, CA, 2014).

JW Pennebaker, RJ Booth, RL Boyd, ME Francis Linguistic Inquiry and Word Count: LIWC2015 (Pennebaker Conglomerates, Austin, TX, 2015).

; PRISM Climate Group Northwest Alliance for Computational Science and Engineering (Oregon State Univ Corvallis OR). (2018).

10.1175/BAMS-83-11-1631

10.1016/j.gloenvcha.2013.09.014

; NOAA Heat index. Available at https://www.weather.gov/safety/heat-index. Accessed November 16 2018. (2018).

10.1257/app.3.4.152

10.1371/journal.pone.0195750

R Colacito B Hoffman T Phan Temperature and growth: A panel analysis of the United States (Federal Reserve Bank of Richmond Richmond VA). (2018).

10.1038/s41558-018-0222-x

10.1073/pnas.1607032113

10.1037/a0023253

10.1175/BAMS-D-13-00255.1

SK Papworth, J Rist, Evidence for shifting baseline syndrome in conservation. Conserv Lett 2, 93–100 (2009).

10.1016/S0169-5347(00)89171-5

10.1007/s10584-012-0690-3

10.1017/S0022381612000448

10.1007/s10584-012-0615-1

10.1038/nclimate2093

10.1007/s10584-014-1253-6

10.1016/j.gloenvcha.2012.07.006

10.1038/nclimate3345

GW Oehlert, A note on the delta method. Am Stat 46, 27–29 (1992).

; CIESIN; Columbia University CIAT Gridded Population of the World Version 3: Population Density Grid (NASA Socioeconomic Data and Applications Center Pallisades NY). Available at sedac.ciesin.columbia.edu/gpw. Accessed July 27 2017. (2018).