Near-surface and path-averaged mixing ratios of NO<sub>2</sub> derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study

Schreier, Stefan F.; Richter, Andreas; Burrows, John P.

doi:https://doi.org/10.5194/acp-19-5853-2019

Articles | Volume 19, issue 9

https://doi.org/10.5194/acp-19-5853-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-5853-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 9

Research article

|

03 May 2019

Research article |

| 03 May 2019

Near-surface and path-averaged mixing ratios of NO₂ derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study

Stefan F. Schreier, Andreas Richter, and John P. Burrows

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Final revised paper (published on 03 May 2019)
Preprint (discussion started on 12 Oct 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of Stefan F. Schreier et al.', Anonymous Referee #1, 10 Nov 2018
- AC1: 'Authors response to reviewer #1', Stefan Schreier, 14 Feb 2019
RC2: 'Review Schreier et al. 2018', Anonymous Referee #2, 09 Dec 2018
- AC2: 'Authors response to reviewer #2', Stefan Schreier, 14 Feb 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Anna Wenzel on behalf of the Authors (18 Feb 2019) Author's response

ED: Referee Nomination & Report Request started (26 Feb 2019) by Michael Pitts

RR by Anonymous Referee #3 (15 Mar 2019)

Suggestions for revision or reasons for rejection

The authors present a study that combines observations from a mobile DOAS system and
a stationary system that rotates through every azimuth approximately hourly.
Additionally, they pull in data from in situ samplers to compare the column-converted
NO2 mixing ratio to in situ observations. In my view the novelty of this experiment
is the combination of observations, with little or no novelty in the presented
chemistry/physics, making it by far more applicable to AMT as opposed to ACP. While
this paper could be considerably shorter (by focusing on the technique and omitting
unnecessary discussion of chemistry that is well understood), I recommend it for
publication after some minor revisions.

page 8 line 10: "anti-clockwise" should be changed to counter-clockwise

page 8 line 28 - page 9 line 2: there is no need to "assume" the rotation speed. You
can calculate this from your observations.

page 20 line 22: it will be helpful to the reader if you identify the day of week
corresponding to each date.

page 20 line 24-26: Does "starting point" reference the starting point of Fig. 1?
This says that "as we go farther from the clean area NO2 increases". Would it make
more sense to reference the distance from the center of the city, which would better
show the gradient from the "source" to background?

page 21 line 19: What do you mean by "horizontal NO2 scale"? Is this the e-folding
distance?

page 22 lin 16: Please clarify what these starting/ending points are (same as
Fig. 1?)

page 23 line 4: replace "left" and "right" with "east" and "west" as necessary.

page 25 line 22: I see nothing on 2-October near the 1:1 line. Please clarify.

page 27 line 21: define "hOPL" after first use.

fig. 11: is the distance here the same as in Fig. 10?

fig. 18: please define hOPL

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RR by Anonymous Referee #1 (27 Mar 2019)

ED: Publish subject to technical corrections (18 Apr 2019) by Michael Pitts

AR by Stefan Schreier on behalf of the Authors (23 Apr 2019) Author's response Manuscript

Short summary

In this case stuy, we have coupled ground-based remote-sensing measurements with surface in situ measurements to investigate NO₂ distributions in the planetary boundary layer in the Viennese metropolitan area. We find that the application of a novel linear regression analysis for the conversion of tropospheric NO₂ vertical columns into near-surface NO₂ mixing ratios is promising and thus the method needs to be further explored and tested on satellite observations in future studies.

Near-surface and path-averaged mixing ratios of NO2 derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study

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Interactive discussion

Peer-review completion

Near-surface and path-averaged mixing ratios of NO₂ derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study