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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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Volume 3, issue 1 | Copyright
Adv. Sci. Res., 3, 23-26, 2009
https://doi.org/10.5194/asr-3-23-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.

  07 Apr 2009

07 Apr 2009

Data quality control and homogenization of air temperature and precipitation series in the area of the Czech Republic in the period 1961–2007

P. Štěpánek, P. Zahradníček, and P. Skalák P. Štěpánek et al.
  • Czech Hydrometeorological Institute, Regional Office Brno, Czech Republic

Abstract. Quality control and homogenization has to be undertaken prior to any data analysis in order to eliminate any erroneous values and non climatic biases in time series. In this work we describe and then apply our own approach to data quality control, combining several methods: (i) by applying limits derived from interquartile ranges (ii) by analyzing difference series between candidate and neighbouring stations and (iii) by comparing the series values tested with "expected'' values – technical series created by means of statistical methods for spatial data (e.g. IDW, kriging).

Because of the presence of noise in series, statistical homogeneity tests render results with some degree of uncertainty. In this work, the use of various statistical tests and reference series made it possible to increase considerably the number of homogeneity test results for each series and thus to assess homogeneity more reliably. Inhomogeneities were corrected on a daily scale.

These methodological approaches are demonstrated by use of the daily data of air temperature and precipitation measured in the area of the Czech Republic. Series were processed by means of developed ProClimDB and AnClim software (http://www.climahom.eu).

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