Articles | Volume 18, issue 3
https://doi.org/10.5194/amt-18-569-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.Validation of the version 4.5 MAESTRO ozone and NO2 measurements
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- Final revised paper (published on 03 Feb 2025)
- Preprint (discussion started on 16 Aug 2024)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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RC1: 'Comment on egusphere-2024-2115', Robert Damadeo, 03 Sep 2024
- AC1: 'Reply on RC1', Paul Jeffery, 28 Oct 2024
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RC2: 'Comment on egusphere-2024-2115', Anonymous Referee #2, 03 Sep 2024
- AC1: 'Reply on RC1', Paul Jeffery, 28 Oct 2024
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Paul Jeffery on behalf of the Authors (28 Oct 2024)
Author's response
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ED: Publish as is (13 Nov 2024) by Natalya Kramarova

AR by Paul Jeffery on behalf of the Authors (14 Nov 2024)
Summary:
The authors present the results of the newest version (v4.5) of the MAESTRO O3 and NO2 data. Simple coincident event comparisons are made with 10 other platforms as well as the ACE-FTS instrument operating on the same spacecraft. The paper is well-written, the methodology of the comparisons is very straightforward, and the results are described in detail. This paper’s subject matter is well suited for this journal. My only concern is that the conclusions about some of the comparisons are likely misrepresenting the actual data quality because of the different sampling patterns of the instruments. I recommend this paper for publication after the following concerns are addressed.
Comments:
One simple omission, unless I missed it, is what is the end of the date range of data for instruments that are still operating used for this study.
Another clarification is regarding the event type. When the authors talk about MAESTRO SRs and SSs, does this refer to the spacecraft event type or the local event type? Obviously, given the nature of the analysis, it makes sense for the separation to be on the local event type and not the spacecraft event type. As far as I am aware, neither the MAESTRO nor the ACE-FTS data products specifically inform the user of the local event type, leaving it as a required calculation by the user. However, the orbit of SCISAT is somewhat unique and the local and spacecraft event types are very often not the same.
Lastly, the authors state that they separate coincidences based on the MAESTRO event type (SRs and SSs). However, when making coincident event comparisons with other solar occultation instruments, are the coincidences ensuring the same separation in the coincidences? If not, then there is likely too often a mixing of different kinds of airmasses (e.g., comparing a MAESTRO SR to a SAGE SS) and this analysis would need to be redone accordingly. My remaining comments are predicated upon the assumption that the stated comparisons show MAESTRO SRs/SSs compared to other solar occultation SRs/SSs respectively.
Because MAESTRO is a solar occultation instrument with sparse sampling associated with that technique and because the analyses performed here are based on coincidences between instruments, I believe that many of the comparisons are adversely affected by sampling biases created when analyzing these coincidences. This would be evident in the comparisons with other instruments that have their own sampling biases, creating comparisons that are not representative of the atmosphere as a whole and/or creating systematic differences in sampling locations. I have looked at this specifically for the SAGE instruments, but less noticeable sampling biases are also possible for GOMOS (stellar occultation) or Odin instruments (i.e., SMR and OSIRIS) that I recall having a hemispheric asymmetry in the overall sampling.
One indication of potential sampling biases is easily seen when looking at the mean SR/SS comparisons. For O3 throughout the lower and middle stratosphere, the impact of diurnal variability is minimal. If the events are generally evenly sampled in time and latitude, then the expectation is that the mean SR and mean SS profiles would overlap, as they do in the ACE-FTS comparison (naturally since every event is coincident) as well as with very dense samplers such as MLS, MIPAS, SCIAMACHY, and OMPS-LP. The fact that the mean SR and mean SS profiles just from the MAESTRO instrument begin to deviate from each other in the other comparisons is the first sign of potential sampling biases. The same is true for NO2 comparisons where, although diurnal variability is expected to be noticeable throughout the stratosphere, the scale of the diurnal variability just between the MAESTRO SR/SS profiles changes between different instrument comparisons.
For SAGE II, sampling biases created in coincident event comparisons are the most egregious. This is because not only is SAGE also a solar occultation instrument, but SAGE II was operating at a 50% duty cycle during the time of operational overlap with MAESTRO. I looked into the temporal and spatial distribution of coincident events (<8 hours, <1000 km) between SAGE II and ACE-FTS (which is data I had on-hand), assuming there would be almost identical sampling between ACE-FTS and MAESTRO, and found the following:
For SSs, all comparisons are basically confined to two small groupings: high southern latitudes (60-70) in late 2004 and high northern latitudes (60-70) in early 2005, noting that all of the southern latitude comparisons have SAGE II observations taking place at a systematically more northern latitude than MAESTRO observations. This systematic offset in latitude could create overall biases in the comparisons. In both cases, this means observations were taking place at a time and place of higher vortex variability, which would likely result in different standard deviations and reduced correlations.
For SRs, all comparisons are basically confined to another two groupings: high southern latitudes (50-70) in late 2004 and another semi-global patch (50N-40S) in early-to-mid 2005, noting that almost ALL of these comparisons have SAGE II observations taking place at a systematically more northern latitude than MAESTRO observations, in some cases exceeding a difference in latitude of 5 degrees. This systematic bias in spatial sampling likely contributes to the systematic bias in O3 seen in comparisons with SAGE II SRs.
For SAGE III/M3M, sampling biases created in coincident event comparisons are also somewhat unique because of the combination of a sunsync orbit with a solar occultation instrument. The effect of this is that all of SAGE III/M3M spacecraft SSs/SRs are observed in the northern/southern hemisphere. However, there is a distinction between spacecraft event type and local event type. For SAGE II, which was in a mid-inclination orbit, the two are almost always the same. For SAGE III/M3M, all of the spacecraft SRs are actually local SSs, and most of the spacecraft SSs are local SSs with the exception of polar winter where they are local SRs. This means that the distribution of coincidences with SAGE III/M3M SSs do not have much of a sampling bias, but a significant one exists for SRs. All coincidences between SAGE III/M3M and MAESTRO SRs occur within a small grouping at high northern latitudes (55-75) in early 2005, with all SAGE III/M3M observations taking place at a systematically more northern latitude than MAESTRO with a minimum offset of 5 degrees in latitude. Additionally, I compute a ratio of coincident SS events to SR events of nearly 10:1 (commensurate with the total number of local SSs versus SRs in the SAGE III/M3M dataset), which is very different from the 3:1 ratio the authors show. This makes me wonder if the authors really are not considering the different event types for comparison solar occultation instruments as I can get a similar number of coincidences if I ignore the SAGE III/M3M event type. If so, then this whole analysis really does need to be redone (at least for all SAGE instruments).
For SAGE III/ISS, there are again sampling biases from the combined orbital sampling of ISS and SCISAT. Strangely, all of the SR comparisons are in the northern hemisphere, while most of the SS comparisons are in the southern hemisphere, but the latitudinal extent gets broader as the years go by and start to expand into the southern hemisphere. While this could potentially be problematic if looking into drifts between the instruments, I don’t see any obvious source of bias in coincident event comparisons.