SaQC
A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data.
The PIA Software is a Python analysis software to derive time series data (Level 1) and temperature spectra (Level 2) of INP concentrations from measurements with the PINE (Portable Ice Nucleation Experiment) instrument.
The software is published on Zenodo.
The current version is v3.2.0
The PINE instrument was developed at KIT in collaboration with the University of Leeds to enable continuous, reliable measurements of INPs.
The PINE instrument is a mobile, cloud expansion-type chamber producing high-resolution raw data, that requires automated and consistend processing. Therefore PIA was developed.
PIA (PINE INP Analysis) is an open-source Python software that provides a complete and reproducible processing chain for ice-nucleating particle (INP) data from the PINE instrument. PIA converts raw PINE output into harmonised, quality-controlled datasets suitable for scientific analysis and publication. PIA is the standard software for PINE data processing and is already used by an international research community, including institutions across Europe, Asia, and the United States. By standardising data processing workflows, quality checks, and data formats, PIA ensures comparable and FAIR-compliant INP datasets. This harmonisation supports long-term monitoring, coordinated field campaigns, and global intercomparison studies.

Adapted from Büttner, N., Fösig, R., Böhmländer, A., Lacher, L., Vogel, F., Tarn, M., Bogert, P., Nadolny, J., Murray, B., and Möhler, O.: Automated Analysis and Quality Assurance of Ice-Nucleating Particle Data: The PINE INP Analysis Software PIA, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-5586, 2025
Due to PIA's modular structure, it can be used to analyse the data of the standard PINE instrument as well as its prototypes, the PINEair versions, and the lab-based instrument AIDAm. It can also easily be adapted to new instrument models or user requirements.
For a detailed information about the software refer to the documentation.
A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data.