Journal cover Journal topic
Climate of the Past An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.536
IF3.536
IF 5-year value: 3.967
IF 5-year
3.967
CiteScore value: 6.6
CiteScore
6.6
SNIP value: 1.262
SNIP1.262
IPP value: 3.90
IPP3.90
SJR value: 2.185
SJR2.185
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 40
h5-index40
Volume 14, issue 1
Clim. Past, 14, 1–20, 2018
https://doi.org/10.5194/cp-14-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Clim. Past, 14, 1–20, 2018
https://doi.org/10.5194/cp-14-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 03 Jan 2018

Research article | 03 Jan 2018

Effects of undetected data quality issues on climatological analyses

Stefan Hunziker et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
Publications Copernicus
Download
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.
Many data quality problems occurring in manned weather station observations are hardly detected...
Citation