Long Term Temperature Trends in Daily Station Data: USHCN

26 Pages Posted: 26 May 2017

Date Written: May 26, 2017

Abstract

Month by month trend analysis of more than 100 years of daily maximum (TMAX) and daily minimum (TMIN) temperatures from 34 USHCN stations in 17 states across the USA is presented. The results show an overall warming trend in the data that is driven primarily by warming in the nighttime measurement TMIN. The evidence of warming in the TMIN data is seen more clearly in a gradual narrowing of the diurnal range. These results are inconsistent with the usual assumption that warming trends in the USHCN instrumental record are driven by anthropogenic global warming.

Keywords: climate change, station temperature data, trend analysis, trend profile, AGW, anthropogenic global warming, fossil fuel emissions, USHCN, temperature trend asymmetry, diurnal cycle, trend in diurnal cycle, cloud feedback

Suggested Citation

Munshi, Jamal, Long Term Temperature Trends in Daily Station Data: USHCN (May 26, 2017). Available at SSRN: https://ssrn.com/abstract=2974794 or http://dx.doi.org/10.2139/ssrn.2974794

Jamal Munshi (Contact Author)

Sonoma State University ( email )

1801 East Cotati Avenue
Rohnert Park, CA 94928
United States

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