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Volume 10
Issue 1
10.3390/atmos10010025
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Article
Peer-Review Record

Skill-Testing Chemical Transport Models across Contrasting Atmospheric Mixing States Using Radon-222

Atmosphere 2019, 10(1), 25; https://doi.org/10.3390/atmos10010025
by Scott D. Chambers 1,2,*, Elise-Andree Guérette 2, Khalia Monk 3, Alan D. Griffiths 1,2, Yang Zhang 4, Hiep Duc 3, Martin Cope 5, Kathryn M. Emmerson 5, Lisa T. Chang 3, Jeremy D. Silver 6, Steven Utembe 6, Jagoda Crawford 1, Alastair G. Williams 1,2 and Melita Keywood 5
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Atmosphere 2019, 10(1), 25; https://doi.org/10.3390/atmos10010025
Submission received: 27 November 2018 / Revised: 2 January 2019 / Accepted: 3 January 2019 / Published: 11 January 2019
(This article belongs to the Special Issue Air Quality in New South Wales, Australia)

Round  1

Reviewer 1 Report

This is an excellent article - very extensive and extremely well written.  I really have no critical comments except that there is a little "skipping around" of figure presentation.  For example, on p. 19 Figure 18 is mentioned before figures 15 and 16 were referenced.

Author Response

Dear Reviewer,


Thank you for your time and care in evaluating our manuscript. We have now modified the text to avoid the referencing of figures out of order. In addition to these changes, since the manuscript was submitted we noticed an error in the temperature and wind speed estimates from the CCAM (O-CTM) model, which have now also been corrected.


Kind regards, Scott Chambers

(on behalf of all co-authors)

Reviewer 2 Report

Paper entitled "Skill -testing chemical transport models across contrasting atmospheric mixing states using 222Rn " is very good in the field of radon -atmospheric tracer in relation with air pollution.

The proposed new technique to prepare statistically-robust benchmarking data for

 evaluating chemical transport model meteorology and air quality parameters within the urban

 boundary layer seems to be excellent for emissions inventories analysis.

         

Author Response

Dear Reviewer,


Thank you for your time and care in reviewing our manuscript for this journal. Since submitting the manuscript we became aware of some problems with the temperature and wind speed output from the CCAM-based O-CTM model. These errors have been addressed in the revised version.


Kind regards, Scott Chambers

(on behalf of all co-authors)

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