Journal cover Journal topic
Advances in Science and Research Contributions in Applied Meteorology and Climatology
Journal topic

Journal metrics

Journal metrics

  • h5-index value: 11 h5-index 11
Volume 8, issue 1
Adv. Sci. Res., 8, 99–104, 2012
https://doi.org/10.5194/asr-8-99-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Adv. Sci. Res., 8, 99–104, 2012
https://doi.org/10.5194/asr-8-99-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  07 May 2012

07 May 2012

Advanced information criterion for environmental data quality assurance

A. Düsterhus and A. Hense A. Düsterhus and A. Hense
  • Meteorological Institute of the University of Bonn, Auf dem Hügel 20, 53121 Bonn, Germany

Abstract. A new method for testing time series of environmental data for internal inconsistencies is presented. The method divides the dataset into several disjunct blocks. By means of a comparison of the blocks' estimated probability density distributions, each block is compared with the others. In order to judge the differences, four different measures are used and compared: Kullback-Leibler Divergence, Jensen-Shannon Divergence, Earth Mover's Distance and the Root Mean Square. By looking at the resulting patterns, conclusions on possible inconsistencies in the data can be drawn.

This paper shows some sensitivitiy tests and gives an example for an application to real data. Furthermore, it is shown, in which cases of errors (shift in mean, shift in variance and rounding), which measure performs best.

Publications Copernicus
Download
Citation