EXAMINATION OF POTENTIAL BIASES IN AIR TEMPERATURE CAUSED BY POOR STATION LOCATIONS

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Questions have been raised about whether poor siting practices that have existed in recent years at some in situ weather-observing stations are causing a bias in U.S. temperature change analysis. This potential bias was examined using homogeneity-adjusted maximum, minimum, and mean temperature data from five stations in eastern Colorado—two with good current siting and three with poor current siting. No siting-induced bias was found in the homogeneity-adjusted data. Furthermore, the results indicate that homogeneity-adjusted time series from the stations with poor current siting represent the temperature variability and change in the region as a whole quite well because they are very similar to the time series from stations with excellent siting.

NOAA's National Climatic Data Center, Asheville, North Carolina

CORRESPONDING AUTHOR: Thomas C. Peterson, National Climatic Data Center, 151 Patton Avenue, Asheville, NC 28801, E-mail: thomas.c.peterson@noaa.gov

Questions have been raised about whether poor siting practices that have existed in recent years at some in situ weather-observing stations are causing a bias in U.S. temperature change analysis. This potential bias was examined using homogeneity-adjusted maximum, minimum, and mean temperature data from five stations in eastern Colorado—two with good current siting and three with poor current siting. No siting-induced bias was found in the homogeneity-adjusted data. Furthermore, the results indicate that homogeneity-adjusted time series from the stations with poor current siting represent the temperature variability and change in the region as a whole quite well because they are very similar to the time series from stations with excellent siting.

NOAA's National Climatic Data Center, Asheville, North Carolina

CORRESPONDING AUTHOR: Thomas C. Peterson, National Climatic Data Center, 151 Patton Avenue, Asheville, NC 28801, E-mail: thomas.c.peterson@noaa.gov
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