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

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

doi:10.5194/amt-19-5007-2026

Articles | Volume 19, issue 15

https://doi.org/10.5194/amt-19-5007-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-19-5007-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 15

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

Data sets

PINE-04-02 CORONA 2020-21 Franziska Vogel et al. https://doi.org/10.35097/sqmdyj7ckbccq9zy

PINE-04-02 CORONA_new 21 Franziska Vogel et al. https://doi.org/10.35097/c78mxhyjyd269pr9

Data from the Portable Ice Nucleation Experiment (PINE) during the CountIce (part 1) 2021-2022 campaign Mark Tarn and Benjamin Murray https://doi.org/10.5281/zenodo.17451020

Model code and software

PIA Software (v3.0.0) Nicole Büttner and Romy Fösig https://doi.org/10.5281/zenodo.15592883

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.