Articles | Volume 19, issue 5
https://doi.org/10.5194/amt-19-1837-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Methods for validation of random uncertainty estimates and their applications to ozone profiles from limb-viewing satellite instruments
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- Final revised paper (published on 16 Mar 2026)
- Preprint (discussion started on 19 Sep 2025)
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-2025-2830', Anonymous Referee #1, 03 Nov 2025
- AC1: 'Reply on RC1', Viktoria Sofieva, 15 Jan 2026
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RC2: 'Comment on egusphere-2025-2830', Anonymous Referee #2, 20 Nov 2025
- AC2: 'Reply on RC2', Viktoria Sofieva, 15 Jan 2026
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AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Viktoria Sofieva on behalf of the Authors (15 Jan 2026)
Author's response
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ED: Referee Nomination & Report Request started (16 Jan 2026) by Diego Loyola
RR by Anonymous Referee #2 (02 Feb 2026)
RR by Anonymous Referee #1 (08 Feb 2026)
ED: Publish subject to technical corrections (09 Feb 2026) by Diego Loyola
AR by Viktoria Sofieva on behalf of the Authors (13 Feb 2026)
Manuscript
Methods for validation of random uncertainty estimates and their applications
to ozone profiles from limb-viewing satellite instruments
Sofieva et al
Referee comments
The paper discusses various methods for assessing the actual random error
of satellite-derived profiles of atmospheric data, comparing these with
the reported random error, and showing results of various methods of
assessment.
I have no objection to the content of the paper, or the analysis, but
I offer some suggestions for improvements and clarifications which the
authors may wish to consider.
1) Firstly, There ought to be an initial statement of the meaning of
'random uncertainty' as used in the title of this paper. I think it may be
close to the lab definition at the start of section 3.2 but it should be
at the start, along with some discussion of various alternative interpretations
that have also been used (eg those briefly listed in Table 1).
2) I can think of two further methods which could also at least be
mentioned, if not applied.
a) (in addition to methods considered in 3.3)
For continuous limb-scanning instruments retrieving profiles every
few hundred km along the orbit, one could compare each profile with
a profile interpolated from the profiles immediately before and
afterwards along the orbit. While this still has some component of
natural variability, that would be reduced by the linear interpolation.
This has an advantage over the method of using orbital intersections since
the time gap is smaller and all three profiles are likely to be measured
with the same day or night illumination. However, this would not work for
tomographic retrievals.
b) (in addition to methods considered in 3.4)
Measurement of variation about the zonal mean. This seems to be
partly covered in 3.4.2 but I was thinking of much narrower
latitude bands. This particularly suits solar-occultation
instruments which typically make 14 measurements in each of two
very tightly-constrained latitude bands every 24 hours, and also
tomographic retrievals since any along-orbit correlation is likely
to be negligible over half an orbit. One could then dispense with
any time (apart from within the same day) or longitudinal
constraint on matching - hence more comparisons with polar-orbiting
instruments - and the only additional information required
is \sigma_nat on c.15deg longitude scale which is, obviously, the
same for all instruments and, in the summer stratosphere, quite possibly
negligible
3) Although the various methods that are discussed are applied to different
instruments, there is no summary table or plot comparing the results
from the different methods applied, eg, to just one instrument, so that
the methods can be directly compared.
Minor points/typographical corrections:
Section 2 - it would be helpful in each subsection to have just an initial
sentence describing the type of instrument/observation.
Generally, use 'en' dashes ($--$) to indicate a range of numbers rather than
hyphens (eg Figure captions, P11 L20, P13 L4-5 L18, P17 L15).
P5 L9 (&L17): A large chi-squared value seems more likely to indicate the
presence of residual spectral features, eg systematic errors in the
forward model, than correctness of the assumed random error.
P5 L20: 'em' dashes are required here ($---$ in LaTeX),
P7 L19/20: 'which represent ... is different': sigma^2_0,nat is treated as
both plural and singular in this sentence.
P8 L9: Note that such collocated measurements necessarily involve comparing
ascending and descending nodes of the orbit, so likely to involve different
day/night conditions.
P8 Eq (5): presumably D(\rho) depends differently on the magnitude of each
coordinate of \rho (and in any case some scaling is required to convert
between the time and space coordinates).
P9 L11: $S_12$ (upper case here, lower case elsewhere)
P9 Fig 15 caption: '20011' should presumably be '2011'.
P10 L16: "true" - initial pair of double-quote marks show as ",,"
P10 L22: "not dense" - I suggest "sparse"
P10 L32: Here it seems that "a-posteriori" and "ex-post" mean the same thing
but elsewhere both are used individually so it is less clear that their
meanings are the same. Also "a posteriori" is sometimes hyphenated,
sometimes not (P16 L21)
P11 L2: Since it is a direct part of the sentence, I would suggest
"von Clarmann et al (2020)" rather than "(von Clarmann et al., 2020)"
(also P17 L14)
P13 Fig 25: I was initially impressed with the consistency of the \sigma_nat
values shown in the lower plots, but then I realised that these are
very similar to the sample SDs shown in the upper plot, somewhat
contradicting condition (b) mentioned on P14 L2.
P14 L23: pedantically it should perhaps be noted that \epsilon_y,z refer
to random errors scaled to x rather than associated with the original
measurements (to me it seems more natural to have eg y = c_y t + e_y)
P12 L11: I may have missed it, but what is $\sigma^2_0,var$ ?
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