Articles | Volume 16, issue 12
https://doi.org/10.5194/amt-16-3085-2023
https://doi.org/10.5194/amt-16-3085-2023
Research article
 | 
21 Jun 2023
Research article |  | 21 Jun 2023

A data-driven persistence test for robust (probabilistic) quality control of measured environmental time series: constant value episodes

Najmeh Kaffashzadeh

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Latest update: 03 Mar 2024
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Short summary
Although quality control is a well-known issue in data application, research initiatives and organizations apply given methods based on traditional techniques (ad hoc thresholds and manual). These approaches are not only error prone but also unsuitable for a large volume of data. The method proposed in this paper is based on a new concept (probability) as an intuitive indicator and data’s characteristics, which leads it to be applicable to a wide variety of data and eases its fit for purpose.