Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 15
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

Viewed

Total article views: 2,715 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,672 869 174 2,715 470 398
  • HTML: 1,672
  • PDF: 869
  • XML: 174
  • Total: 2,715
  • BibTeX: 470
  • EndNote: 398
Views and downloads (calculated since 29 Dec 2025)
Cumulative views and downloads (calculated since 29 Dec 2025)

Viewed (geographical distribution)

Total article views: 2,715 (including HTML, PDF, and XML) Thereof 2,690 with geography defined and 25 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Aug 2026
Download
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.
Read more
Share