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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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (10 Aug 2017) by Volker Rath
AR by Stefan Hunziker on behalf of the Authors (29 Sep 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Oct 2017) by Volker Rath
RR by Anonymous Referee #1 (19 Oct 2017)
RR by Anonymous Referee #2 (09 Nov 2017)
ED: Publish subject to technical corrections (10 Nov 2017) by Volker Rath
AR by Stefan Hunziker on behalf of the Authors (17 Nov 2017)  Author's response    Manuscript
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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.