Anomalous Long Term Trends in USHCN Temperature Data
19 Pages Posted: 23 Mar 2017
Date Written: March 23, 2017
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
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