the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 28 Apr 2026
Dataset of airborne measurements of aerosol, cloud droplets and meteorology by tethered balloon during PaCE 2022
Abstract. Aerosol, cloud droplet, and meteorological measurements were carried out by the Finnish Meteorological Institute's payload onboard the tethered balloon systems during the Pallas Cloud Experiment 2022 in Finland. This dataset includes 21 flights between September 16th and October 10th. The observations include vertical profiles and time series of aerosol number concentration and size distribution; cloud droplet number concentration and size distribution; and meteorological parameters. This dataset has been uploaded to the common Zenodo PaCE 2022 community archive (https://zenodo.org/communities/pace2022/, last access: Jan 20, 2025). This dataset (Le et al., 2026) is available at: https://doi.org/10.5281/zenodo.18432043.
Competing interests: At least one of the (co-)authors serves as topic editor for the special issue to which this paper belongs.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.- Preprint
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Status: final response (author comments only)
- RC1: 'Comment on essd-2026-135', Anonymous Referee #1, 09 Jun 2026
- RC2: 'Comment on essd-2026-135', Anonymous Referee #2, 16 Jun 2026
Data sets
Dataset of airborne measurements of aerosol, cloud droplets and meteorology by tethered balloon during PaCE 2022 Viet Le et al. https://doi.org/10.5281/zenodo.14932881
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- 1
The manuscript serves as data descriptor for the in-situ measurements by the FMI on tethered balloons during PaCE 2022 and denotes therefore an original contribution for scientists potentially working with the (openly available) data.
It is well written, and one easily feels the routine of the authors, as there are many essd papers compiled out of the PaCE 2022 campaign.
General comments:
I am not convinced about having an extra supplementary document containing important information such as sensor intercomparison / characterisation and calibration. I'd be happy to see it in the appendix if possible.
Sensor property description would benefit a lot by summarising it in an additional table, and so would intercomparison results.
The text might be restructured in section 3 to separate sensors more clear (e.g. a bullet point for each sensor?).
The summary could benefit from mentioning the special events or at least the hint, that special events were present.
Regarding the language, I don't feel qualified to comment on that, although some paragraphs/phrase structures sound unfamiliar to me.
In the following, some comments likely to be addressed:
L9: most pronounced impact -> please change wording / confine, or define your impact measure (here temperature might be meant, not social impact)
L12 .. by climate models?
L17 cambridge interpunctuation? Throughout the manuscript?
L27ff consider substitution of cloud condensation nuclei to CCN (abbrev use throughout then)
L45 add the ease of regulatory implementation of tethered balloons?
L50 FMI not yet introduced
Fig1: check copyright information - all present?
L69: manufacturers county/region?
L70: provide a number of maximum wind?
L73: add manufacturers country/region
L76: no "aerosol" interference?
Fig2: if properly referenced to the manufacturer, no need to mention again
L90: tether line or tethered line?
L89ff: great to have such an incident report to learn from!
L101: consider using "meteorological properties"
L104: ..underneath the balloon?
L106: good to know about the supplement
L107ff: please add country/region to every manufacturer information throughout the manuscript
Around Fig3: A table with the instruments and summarised information about measurement properties (parameter, accuracy, uncertainty, range etc) is urgently needed here. This likely results in a reader-friendly text especially in section 3.
L124: please tell about the reasons for the deviations in T/RH
L138: I strongly recommend including the supplement into the paper (e.g. appendix), and show important results (such as collection efficiency) in the main text body.
Around L140: a strong recommendation here to summarise all sensor intercomparison (different instruments, sammal station) results in an additional table, potentially including calibration results
Section 3: consider using a bullet point for each sensor to simplify the readers navigation
L165: is there an internal temperature measurement available for the CPC as well?
L176: "no effect" is hard to imagine - maybe a negligible impact? if so, please quantise pressure impact on CPC measurements at 3 km
L181: Lmin with a space?
L183: citation/reference to MonoDust 1500 calibration?
L188: were?
L190: location of the Sonnblick Observatory? Punctuation mark for altitude?
L216: which standard/enumeration for data processing levels? meaning of b1?
Table2: ensure to add units consistently
L224: bins likely fit better into an instrument description table (including all instruments)
L230: very good and important information on errors/deviations/irregular events! but preferably presented in a table of "special events" sorted with date of event start?
L246: present overall campaign statistics in a table?
Fig4: not clear what the figure should show - maybe (a) altitude agl and (b) potential temperature as well as (c) mixing ratio would allow seeing more about the overall met conditions?