Articles | Volume 14, issue 1
Clim. Past, 14, 1–20, 2018
https://doi.org/10.5194/cp-14-1-2018
Clim. Past, 14, 1–20, 2018
https://doi.org/10.5194/cp-14-1-2018
Research article
03 Jan 2018
Research article | 03 Jan 2018

Effects of undetected data quality issues on climatological analyses

Stefan Hunziker et al.

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Cited articles

Aguilar, E., Auer, I., Brunet, M., Peterson, T. C., and Wieringa, J.: Guidlines on Climate Metadata and Homogenization. in: WCDMP No. 53, WMO/TD No. 1186, World Meteorological Organization, Geneva, Switzerland, 2003.
Brönnimann, S.: Climatic Changes Since 1700, Springer International Publishing, Cham, Switzerland, https://doi.org/10.1007/978-3-319-19042-6_4, 2015.
Cao, L.-J., and Yan, Z.-W.: Progress in research on homogenization of climate data, Adv. Climate Change Res., 3, 59–67, https://doi.org/10.3724/SP.J.1248.2012.00059, 2012.
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Short summary
Many data quality problems occurring in manned weather station observations are hardly detected with common data quality control methods. We investigated the effects of undetected data quality issues and found that they may reduce the correlation coefficients of station pairs, deteriorate the performance of data homogenization methods, increase the spread of individual station trends, and significantly bias regional trends. Applying adequate quality control approaches is of utmost importance.