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

Robust quality control is a prerequisite and an essential component in any data application. That is especially important for time series of environmental observations such as air quality due to their dynamic and irreversible nature. One of the common issues in these data is constant value episodes...

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Bibliographic Details
Published in:	Atmospheric measurement techniques Vol. 16; no. 12; pp. 3085 - 3100
Main Author:	Kaffashzadeh, Najmeh
Format:	Journal Article
Language:	English
Published:	Katlenburg-Lindau Copernicus GmbH 21.06.2023 Copernicus Publications
Subjects:	Air quality Air temperature Analysis Datasets Emission measurements Environmental monitoring Environmental research Measuring instruments Missing data Mixing ratio Ozone Ozone mixing ratio Pollutants Probability Probability theory Procedures Quality control Robust control Sensitivity analysis Statistical analysis Synthetic data Test procedures Time measurement Time series Variables
ISSN:	1867-8548, 1867-1381, 1867-8548
Online Access:	Get full text
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