Articles | Volume 19, issue 15
https://doi.org/10.5194/amt-19-5007-2026
https://doi.org/10.5194/amt-19-5007-2026
Research article
 | 
03 Aug 2026
Research article |  | 03 Aug 2026

Automated analysis and quality assurance of ice-nucleating particle data: the PINE INP Analysis software PIA

Nicole Büttner, Romy Fösig, Alexander Böhmländer, Larissa Lacher, Franziska Vogel, Mark Tarn, Pia Bogert, Jens Nadolny, Benjamin Murray, and Ottmar Möhler

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Cited articles

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Short summary
We developed a new Python software tool that standardises and automates the analysis of data from a cloud simulation chamber. It identifies ice-forming particles in the atmosphere and ensures consistent data quality through built-in checks, making results more comparable across studies. We also analysed measurement data to provide recommendations for improving instrument reliability and long-term monitoring of atmospheric ice-forming particles. This helps to better understand how clouds behave.
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