the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Fluorescent aerosol particles in the Finnish sub-Arctic during the Pallas Cloud Experiment 2022 campaign
Abstract. Fluorescent aerosol particles (FAPs) as a fraction of total aerosol particles (TAPs) were measured online with a Wideband Integrated Bioaerosol Sensor 5/NEO (WIBS, Droplet Measurement Technologies) from mid-September to mid-December during the Pallas Cloud Experiment 2022 (PaCE22) at the Sammaltunturi station, located in the sub-Arctic region of Finnish Lapland. The WIBS measures particle size distributions from 0.5 to 30 µm and fluorescence in three channels of single aerosol particles, as well as particle concentrations. Since most biological aerosol particles exhibit intrinsic fluorescence, FAP concentration can be used as a proxy for primary biological aerosol particles (PBAPs) like bacteria, fungal spores and pollen. The concentrations and size distributions of different fluorescent particles, together with meteorological data and air mass trajectories allow valuable insights to the emission of PBAPs from northern boreal forests and their dynamic in the atmosphere. We found a clear seasonal trend for most FAP types and a strong, sudden decrease in concentration after the surrounding ground is covered in snow. Caution should be taken in interpreting the data, as interference may be introduced by non-biological fluorescent particles like secondary organic aerosols or soot, as well as biological secondary organic aerosol. The data is available at the open data repository Zenodo under the doi 10.5281/zenodo.13885888 (Gratzl and Grothe, 2024).
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Status: open (until 13 Apr 2025)
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RC1: 'Comment on essd-2024-543', Anonymous Referee #1, 08 Mar 2025
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General comments:
This manuscript by Gratzl et al. summarized the dataset of fluorescent primary bioaerosols using a WIBS, e.g. fluorescence pattern and particle size, based on the intensive observations in Finnish forest site. The dataset showed the significant differences of bioaerosols with seasonal variation, snow-covered or snow-free.
The manuscript is well structured, including descriptions of data quality control, and well written in English. The dataset is generally useful for the researcher and community to work with the biological particles and their impact on the climate. I recommend the publication after the following minor comments are considered.
Specific comments:
I understand that there is a difference in fluorescent particles (both normal and highly) between on the snow-free and snow-covered conditions, but is this limited by local emission or not?
I found a description that the site is largely affected by local emissions and surrounded by the biological forest conditions in section 2, but have any additional analysis to evaluate/categorize the local emission or outside contribution, i.e., air mass origin or emission sources? (need more detailed description in line 259 or other part)
Also, do you think how large are contributions from the non-biological but fluorescent particles, as you mentioned in Table 1? Any suggestions?
Others:
L36-L49:
It would be useful to add if there is any methods of the detection and identification of bioaerosols as a general introduction, such as offline analysis (e.g. microscopic analysis or biological methods), as well as WIBS and UV-APS (online method).
L163-176
Why not give one example and briefly summarize the remaining channels as well (likely described in lines 220-222)? I don't think it is necessary to write everything. Or move/associate with the description in the data files as an asset.
Citation: https://doi.org/10.5194/essd-2024-543-RC1
Data sets
Data of Fluorescent Aerosol Particles during the Pallas Cloud Experiment 2022 Jürgen Gratzl and Hinrich Grothe https://doi.org/10.5281/zenodo.13885888
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