the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement of the ice-nucleating particle concentration with the Portable Ice Nucleation Experiment during the Pallas Cloud Experiment 2022
Abstract. The Portable Ice Nucleation Experiment (PINE) was deployed during the Pallas Cloud Experiment (PaCE) 2022 for a three-month-period at the Sammaltunturi station in autumn 2022. The station is located on top of a hill on the edge between sub-Arctic and boreal forest environments, typically receiving air masses from the Arctic and the south. Since clouds are frequently present at the station during autumn, the present aerosol particles can have a direct impact on cloud properties. Ice-nucleating particles (INPs) are aerosol particles that facilitate primary ice nucleation in supercooled cloud droplets. The PINE measured the INP concentration with a high temporal resolution of six minutes at different nucleation temperatures between 240 K and 252 K. The INP concentration varied exponentially with the freezing temperature and differences between different months were observed. The highest median INP concentration was measured during December over the whole temperature range, while during November the lowest median INP concentration was measured. The data presented here is useful to study aerosol-cloud interactions for a sub-Arctic location with minimal anthropogenic influence. The high temporal resolution allows to correlate the INP concentration with other measurements, such as size distribution data and meteorological data. In addition, the data provides the ice nucleating ability of arriving aerosol particles, which can be combined with models to study the nature, the source and the age of the INPs.
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Status: open (until 18 May 2025)
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RC1: 'Comment on essd-2025-89', Anonymous Referee #1, 16 Apr 2025
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I have read the manuscript by Dr Böhmländer et al. and checked the associated dataset. In my opinion, this dataset is extremely valuable for the atmospheric scientific community, considered the scarcity and relevance of INP data. Additionally, INP concentration data are provided at high time resolution which is certainly an added value for investigating INP properties, sources and impact. Nevertheless, before publication some issues should be addressed in the manuscript.
My main concern regards the measurement uncertainty. This is a fundamental aspect characterising the dataset, yet it is not discussed at all in the manuscript, nor uncertainty ranges are presented in the data files. I would invite the authors to address this aspect of the data quality in the text and, if possible, to associate uncertainty “bars” to the provided data values.
One of the strong points of the dataset is the high temporal resolution, which provides valuable information on the short-term variability of INP concentration at the study site. I would invite the authors to provide some further quantitative information about this in describing the dataset. I understand that the main topic of a data journal is not the scientific exploitation of the data, but some further information can be provided. For instance, which is the extent of the short-term variability in INP concentration? How does it compare with the day to day and seasonal variability? Is the short-term variability constant trough the study periods or does it vary with season?
Specific comments
L12. It is not clear what the authors mean with “arriving aerosol particles”; are they referring to long range transport, maybe? Please reformulate this sentence for major clarity.
L104. cINP = 108.495 L−1: I am wondering if all the figures are significant in this concentration.
I have noticed some discrepancies between the data files and the manuscript. (1) the “flag” data column is labelled “INP_qc” in the data file, while it is “INP_cn_qc” in the text and in the data info file. (2) The column “INP_cn_flush” is “INP_flush” in the data info file. (3) There is not information on the meaning of the “INP_flush” data column in the data info file.
Citation: https://doi.org/10.5194/essd-2025-89-RC1
Data sets
Data from Portable Ice Nucleation Experiment during the Pallas Cloud Experiment 2022 Alexander Böhmländer et al. https://zenodo.org/records/13889647
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