Blowin’ in the Wind: Short-Term Weather and Belief in Anthropogenic Climate Change
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Citations
The Political Divide on Climate Change: Partisan Polarization Widens in the U.S.
International trends in public perceptions of climate change over the past quarter century
Personal experience and the ‘psychological distance’ of climate change: An integrative review
How warm days increase belief in global warming
Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll.
References
Climate change 2007: the physical science basis
Biased Assimilation and Attitude Polarization: The Effects of Prior Theories on Subsequently Considered Evidence
The politicization of climate change and polarization in the american public's views of global warming, 2001–2010
The Scientific Consensus on Climate Change
Cultural cognition of scientific consensus
Related Papers (5)
The politicization of climate change and polarization in the american public's views of global warming, 2001–2010
Shifting public opinion on climate change: an empirical assessment of factors influencing concern over climate change in the U.S., 2002–2010
Frequently Asked Questions (12)
Q2. What do Hansen et al. (2012) note?
’’Hansen et al. (2012) note that in a warming climate the distribution of temperature anomalies will shift upward, with positive anomalies and heat events becoming more frequent.
Q3. What are the odds of a now/human response?
Odds of a now/human response decrease with respondent age, are higher for women than men, increase with education and with self-assessed understanding, and are lower among Republicans than among independents and Democrats.
Q4. What are the sources of the support for the Granite State Poll?
Granite State Poll questions on environment and climate have been supported by the National Science Foundation (New Hampshire EPSCoR EPS-1101245), and by the Carsey Institute and the Sustainability Institute at the University of New Hampshire.
Q5. What is the average temperature effect for a 2-day window?
Although temperature effects in their data are sharpest for just a 2-day window, the authors see positive and often significant effects for longer windows as well, suggesting at least some degree of persistence from mundane weather experience.
Q6. What are the main variables in the logit regression model?
d Logit regression models include seasonal indicators,the political party–education interaction noted byother studies, and a party–temperature interaction.
Q7. What are the main characteristics of the climate change debate?
political figures, journalists, and bloggers offer the public competing interpretations of observed changes such as the decline of Arctic sea ice (Notz and Marotzke 2012), global temperature and sea level rise (Rahmstorf et al. 2012), and the frequency and severity of climate extremes such as droughts and heat waves (Trenberth and Fasullo 2012).
Q8. What is the way to explain the temperature anomalies?
Adjusted probabilities of believing that climate change is happening now, caused mainly by human activities, shift from below 40% to above 70% over the 268 to 1128C range of temperature anomalies experienced on their interview days.
Q9. What is the effect of education on the climate?
The party–education interaction effect is graphed in Fig. 3. Consistent with previous studies, the authors see a strong positive effect of education among Democrats, a weaker positive effect among independents, and a near-zero effect among Republicans.
Q10. What is the effect of education on the odds of agreeing with the scientific consensus?
The authors find significant effects (p , 0.0005) in the expected direction: education raises the odds of agreeing with the scientific consensus among Democrats, does so more weakly among independents, and not at all among Republicans.
Q11. What is the effect of the temperature on the odds of a now/human belief?
Unseasonably warm or cool temperatures on the interview day and the previous day, however, significantly shift the odds of believing that humans are changing the climate (p 5 0.023).
Q12. What is the standard deviation of random intercepts?
The standard deviation of random intercepts (0.029) is only a fraction of its own standard error (0.090), indicating that there is little survey-to-survey variation in responses beyond that accounted for by the predictors.