the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Recent advances in aerosol optical depth measurements in polar regions: insights from the Polar-AOD Program
Angelo Lupi
Vito Vitale
Claudia Frangipani
Carlos Toledano
Stelios Kazadzis
Natalia Kouremeti
Christoph Ritter
Sandra Graßl
Kerstin Stebel
Vitali Fioletov
Ihab Abboud
Sandra Blindheim
Lynn Ma
Norm O'Neill
Piotr Sobolewski
Pawan Gupta
Elena Lind
Thomas F. Eck
Antti Hyvärinen
Veijo Aaltonen
Rigel Kivi
Janae Csavina
Dmitry Kabanov
Sergey M. Sakerin
Olga R. Sidorova
Robert S. Stone
Hagen Telg
Laura Riihimaki
Raul R. Cordero
Martin Radenz
Ronny Engelmann
Michel Van Roozendal
Anatoli Chaikovsky
Philippe Goloub
Junji Hisamitsu
Mauro Mazzola
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- Final revised paper (published on 05 Feb 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 04 Sep 2025)
- Supplement to the preprint
Interactive discussion
Status: closed
- RC1: 'Comment on egusphere-2025-2527', Anonymous Referee #3, 16 Sep 2025
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RC2: 'Comment on egusphere-2025-2527', Anonymous Referee #2, 26 Nov 2025
General comments:
Compared with previous studies, this research offers little innovation. While it supplements some valuable polar nighttime observation data, it fails to conduct an in-depth evaluation of the data. Instead, the nocturnal results are described using speculative claims that require further verification. Additionally, the paper contains numerous contradictions. Therefore, it is not suitable for publication at this stage.
Specific comments:
1. It is crucial to conduct a thorough analysis of potential nocturnal cirrus cloud contamination rather than relying on speculation. In lines 289–290, the authors argue that the reduction in the Angstrom exponent (α) during winter is attributable to cirrus cloud contamination in the nighttime data. However, given the low average AOD values observed in winter, the inference that this reduction is caused by cirrus cloud interference is hardly convincing.
2. As is well known, aerosols generated by wildfires (i.e., biomass-burning aerosols, BBA) are dominated by fine-mode particles, with an Angstrom exponent (α) typically greater than 1.5—a point the authors have repeatedly referenced in the main text. Yet why does the authors argue in the conclusion that the increasing prevalence of cases characterized by high AOD and low α is associated with intensified boreal wildfire activity?
3. Similarly, anthropogenic aerosols are also dominated by fine-mode particles. Why, then, does the author argue that Arctic persistent haze events associated with anthropogenic emissions should exhibit a low Angstrom exponent (α)?
4. Some of the causal analyses in the paper are quite confusing. For instance, in lines 241–244, the authors argue that pronounced right-skewed tail in winter may be attributed to higher AOD values in March and April. However, the authors define winter as December–February, so why would the higher AOD values in March and April contribute to the long tails of the winter histograms?
5. The paper argues that persistent haze events in the polar winter give rise to peak AOD, while the atmosphere is generally cleaner in summer (e.g., Lines 217-218). However, in terms of observed AOD values, summer AOD is considerably higher than that in winter (Lines 239-241) —it seems that the conclusion is inconsistent with observational facts.
6. Instrumental biases are non-negligible, as evidenced by substantial discrepancies in the Angstrom exponent (α) — particularly in December — between CIMEL and PFR measurements at the Marambio station. The manuscript lacks systematic documentation of calibration methodologies across different stations and instruments. It should explicitly specify which stations adopt standard transfer calibration as opposed to Langley method calibration. For stations utilizing Langley calibration, additional quality control measures ought to be implemented. For reference, Che et al. (2025) have documented several significant advancements in techniques for modifying and improving Langley calibration.
7. Figure 1 would benefit from the inclusion of geographic coordinates (latitude and longitude).
8. Incorporate a multi-year mean AOD spatial distribution map to better visualize geographic variability patterns.
9. Provide thorough discussion of outliers in Figure 14a.
Technical corrections:
1. Line 688, replace ‘move’ with ‘moves’.
2. The manuscript exhibits a significant number of in-text citation formatting errors, e.g., line 27, '(Klonecki et al. (2003))' should be ‘(Klonecki et al., 2003)’Citation: https://doi.org/10.5194/egusphere-2025-2527-RC2 - AC1: 'ACs on egusphere-2025-2527', Simone Pulimeno, 07 Jan 2026
I have thoroughly reviewed the authors’ responses to my comments and the revised manuscript. I commend the authors for their meticulous and thoughtful revisions, which have significantly strengthened the manuscript’s scientific rigor, clarity, and interpretability. The responses directly address all major concerns. I am thoroughly impressed by the diligence and thoughtfulness demonstrated in addressing each point raised. The revisions significantly enhance the manuscript’s clarity, methodological rigor, and scientific validity. The authors have not only provided robust justifications for their findings but also implemented precise textual refinements that markedly improve readability.
This work makes a valuable contribution to the science community, and I recommend acceptance.