globalchange  > 影响、适应和脆弱性
DOI: 10.5194/cp-14-1-2018
Scopus记录号: 2-s2.0-85040162985
论文题名:
Effects of undetected data quality issues on climatological analyses
作者: Hunziker S.; Brönnimann S.; Calle J.; Moreno I.; Andrade M.; Ticona L.; Huerta A.; Lavado-Casimiro W.
刊名: Climate of the Past
ISSN: 18149324
出版年: 2018
卷: 14, 期:1
起始页码: 1
结束页码: 20
语种: 英语
Scopus关键词: climatology ; data quality ; data set ; numerical method ; quality control ; temperature gradient ; trend analysis ; uncertainty analysis ; weather station ; Andes
英文摘要: Systematic data quality issues may occur at various stages of the data generation process. They may affect large fractions of observational datasets and remain largely undetected with standard data quality control. This study investigates the effects of such undetected data quality issues on the results of climatological analyses. For this purpose, we quality controlled daily observations of manned weather stations from the Central Andean area with a standard and an enhanced approach. The climate variables analysed are minimum and maximum temperature and precipitation. About 40ĝ% of the observations are inappropriate for the calculation of monthly temperature means and precipitation sums due to data quality issues. These quality problems undetected with the standard quality control approach strongly affect climatological analyses, since they 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 temperature trends. Our findings indicate that undetected data quality issues are included in important and frequently used observational datasets and hence may affect a high number of climatological studies. It is of utmost importance to apply comprehensive and adequate data quality control approaches on manned weather station records in order to avoid biased results and large uncertainties. © 2018 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109602
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: Institute of Geography, University of Bern, Bern, Switzerland; Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland; Laboratorio de Física de la Atmósfera, Instituto de Investigaciones Físicas, Universidad Mayor de San Andrés, La Paz, Bolivia; Servicio Nacional de Meteorologiá e Hidrologiá Del Perú, Lima, Peru

Recommended Citation:
Hunziker S.,Brönnimann S.,Calle J.,et al. Effects of undetected data quality issues on climatological analyses[J]. Climate of the Past,2018-01-01,14(1)
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