Anomalous Long Term Trends in USHCN Temperature Data

19 Pages Posted: 23 Mar 2017

Date Written: March 23, 2017

Abstract

A month by month trend analysis of daily maximum and daily minimum temperature data from Fort Collins, Boulder, and Cheesman USHCN weather stations in northeastern Colorado for the period 1893-2014 is presented. The results show anomalous and incompatible patterns in long term temperature trends among the three stations that serve to question the use of the Fort Collins data as empirical evidence of global warming. The findings are consistent with questions raised by others with respect USHCN data integrity, the homogenization of incompatible station data into regional climatology, and the greater validity and information content of observational data over derived synthetic data.

Keywords: weather stations, regional climatology, aggregation of weather station data, homogenization, reanalysis, data tampering, data integrity, observational data, temperature trends, global warming, climate change

Suggested Citation

Munshi, Jamal, Anomalous Long Term Trends in USHCN Temperature Data (March 23, 2017). Available at SSRN: https://ssrn.com/abstract=2939569 or http://dx.doi.org/10.2139/ssrn.2939569

Jamal Munshi (Contact Author)

Sonoma State University ( email )

1801 East Cotati Avenue
Rohnert Park, CA 94928
United States

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