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.
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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- The EUSTACE global land station daily air temperature dataset Y. Brugnara et al. 10.1002/gdj3.81
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- Spatiotemporal patterns of ENSO‐precipitation relationships in the tropical Andes of southern Peru and Bolivia J. Jonaitis et al. 10.1002/joc.7058
- Drought increase since the mid-20th century in the northern South American Altiplano revealed by a 389-year precipitation record M. Morales et al. 10.5194/cp-19-457-2023
- Homogeneity assessment of phenological records from the Swiss Phenology Network Y. Brugnara et al. 10.1007/s00484-019-01794-y
- An approach to homogenize daily peak wind gusts: An application to the Australian series C. Azorin‐Molina et al. 10.1002/joc.5949
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- A combined view on precipitation and temperature climatology and trends in the southern Andes of Peru N. Imfeld et al. 10.1002/joc.6645
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Latest update: 20 Nov 2024
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...