Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 14
Articles | Volume 19, issue 14
https://doi.org/10.5194/amt-19-4779-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-4779-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 14
Research article
 | 
24 Jul 2026
Research article |  | 24 Jul 2026

Real-time pollen dynamics and automated detection: novel insights from Wrocław (Poland) 2024–2025

Szymon Tomczyk, Małgorzata Werner, Małgorzata Malkiewicz, and Karol Bubel

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Short summary
Our study examines how real-time pollen monitoring can be enhanced by retraining artificial intelligence models with locally collected data. Using the advanced Swisens Poleno Jupiter device in Wrocław, Poland, we recorded hourly pollen concentration changes and their relationship with meteorological conditions. Locally adapted models provide more accurate, timely information, reveal taxon-specific diurnal pollen variability, and improve allergy risk assessment.
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