Articles | Volume 25, issue 21
https://doi.org/10.5194/acp-25-14221-2025
https://doi.org/10.5194/acp-25-14221-2025
Technical note
 | 
30 Oct 2025
Technical note |  | 30 Oct 2025

Technical note: An interactive dashboard to facilitate quality control of in-situ atmospheric composition measurements

Yuri Brugnara, Martin Steinbacher, Simone Baffelli, and Lukas Emmenegger

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Cited articles

Barré, J., Aben, I., Agustí-Panareda, A., Balsamo, G., Bousserez, N., Dueben, P., Engelen, R., Inness, A., Lorente, A., McNorton, J., Peuch, V.-H., Radnoti, G., and Ribas, R.: Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts, Atmos. Chem. Phys., 21, 5117–5136, https://doi.org/10.5194/acp-21-5117-2021, 2021. 
Bertrand, J.-M., Meleux, F., Ung, A., Descombes, G., and Colette, A.: Technical note: Improving the European air quality forecast of the Copernicus Atmosphere Monitoring Service using machine learning techniques, Atmos. Chem. Phys., 23, 5317–5333, https://doi.org/10.5194/acp-23-5317-2023, 2023. 
Breunig, M. M., Kriegel, H.-P., Ng, R. T., and Sander, J.: LOF: Identifying density-based local outliers, Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 93–104, https://doi.org/10.1145/335191.335388, 2000. 
Brugnara, Y.: gaw-qc (v0.4.0), Github [code], https://github.com/ybrugnara/gaw-qc (last access: 27 October 2025), 2025. 
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Short summary
GAW-QC (Global Atmosphere Watch-Quality Control) is an interactive dashboard for the quality control of in-situ atmospheric composition measurements made at stations taking part in the Global Atmosphere Watch network. Even though it is mainly targeted at station operators who want to analyze recent, not yet published measurements, it allows anybody to verify the quality of already published measurements using various anomaly detection algorithms as well as visual comparisons.
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