SY004-0004
Are the Beliefs of the Climate Change Deniers, Skeptics, and Trivializers supported by the Hourly Temperature Data? Evidence from Alaska
Abstract:
Using time-series statistical methods, this paper examines the relationship between the hourly CO2 atmospheric concentration level and temperature at the NOAA operated Barrow Observatory in northern Alaska over the period 1 January 1985 through 31 December 2015 using hourly downward shortwave radiation data as a covariate. Over this period, the annual temperature increased by about 5.8 o C. To control for other possible drivers of temperature, the model also includes a series of binary variables representing each year of the sample.
The estimated results are consistent with the scientific consensus. The model was evaluated using out-of-sample hourly data over the period 1 January 2016 through 31 August 2017. The out-of-sample structural predictions of hourly temperature are more accurate when the estimated CO2 effects are factored into the estimated equation used to make the predictions (Figure1). A metric that may improve public understanding of climate change issues is also presented.