Articles | Volume 14, issue 1
https://doi.org/10.5194/cp-14-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/cp-14-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Institute of Geography, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Stefan Brönnimann
Institute of Geography, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Juan Calle
Laboratorio de Física de la Atmósfera, Instituto de Investigaciones Físicas, Universidad Mayor de San Andrés, La Paz, Bolivia
Isabel Moreno
Laboratorio de Física de la Atmósfera, Instituto de Investigaciones Físicas, Universidad Mayor de San Andrés, La Paz, Bolivia
Marcos Andrade
Laboratorio de Física de la Atmósfera, Instituto de Investigaciones Físicas, Universidad Mayor de San Andrés, La Paz, Bolivia
Laura Ticona
Laboratorio de Física de la Atmósfera, Instituto de Investigaciones Físicas, Universidad Mayor de San Andrés, La Paz, Bolivia
Adrian Huerta
Servicio Nacional de Meteorología e Hidrología del Perú (SENAMHI), Lima, Peru
Waldo Lavado-Casimiro
Servicio Nacional de Meteorología e Hidrología del Perú (SENAMHI), Lima, Peru
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- Impact of missing data on the efficiency of homogenisation: experiments with ACMANTv3 P. Domonkos & J. Coll https://doi.org/10.1007/s00704-018-2488-3
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- Trends and variability of precipitation extremes in the Peruvian Altiplano (1971–2013) A. Huerta & W. Lavado‐Casimiro https://doi.org/10.1002/joc.6635
- Application of Satellite Rainfall Estimates in Quantitative Forecasting of Monthly Rainfall Using a Multi-Model Ensemble Approach, Kafue River Basin M. Syabwengo et al. https://doi.org/10.4236/acs.2025.152026
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- Long‐term observed changes of air temperature, relative humidity and vapour pressure deficit in Bolivia, 1950–2019 B. Fernández‐Duque et al. https://doi.org/10.1002/joc.8226
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- An approach to homogenize daily peak wind gusts: An application to the Australian series C. Azorin‐Molina et al. https://doi.org/10.1002/joc.5949
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Saved (final revised paper)
Latest update: 09 Jun 2026
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...
