Local fractions – a method for the calculation of local source contributions to air pollution, illustrated by examples using the EMEP MSC-W model (rv4_33)

Wind, Peter; Rolstad Denby, Bruce; Gauss, Michael

doi:https://doi.org/10.5194/gmd-13-1623-2020

Articles | Volume 13, issue 3

https://doi.org/10.5194/gmd-13-1623-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-1623-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 3

Development and technical paper

|

30 Mar 2020

Development and technical paper |

| 30 Mar 2020

Local fractions – a method for the calculation of local source contributions to air pollution, illustrated by examples using the EMEP MSC-W model (rv4_33)

Peter Wind, Bruce Rolstad Denby, and Michael Gauss

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Final revised paper (published on 30 Mar 2020)
Preprint (discussion started on 11 Nov 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of gmd-2019-296', Anonymous Referee #1, 16 Dec 2019
RC2: 'Review', Anonymous Referee #2, 16 Dec 2019
AC1: 'Answer to Referee 1, Referee 2 and changes to manuscript', Peter Wind, 29 Jan 2020

Peer-review completion

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

AR by Peter Wind on behalf of the Authors (29 Jan 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Jan 2020) by Patrick Jöckel

RR by Anonymous Referee #2 (30 Jan 2020)

RR by Anonymous Referee #1 (10 Feb 2020)

Suggestions for revision or reasons for rejection

Generally, the quality of the manuscript has improved. The limitations of the method are now much clearer. However, a little bit more work could have been done in providing a general discussion about needed window sizes for different purposes (see first comment from my initial review: ‚To better judge the the advantages of the method the authors should make clear how large the windows (x,y and z direction) for different purposes need to be‘). Maybe the authors just don‘t agree with my comments, in this case they should just respond to the comment in and appropriate way. In addition, a little bit more in depth discussion about the results in Table 1 would have been very insightful.

Minor comments:

If you use ‘s’ as index for sector/pollutant please just define s at the beginning accordingly (s is the index defining […], which can be either pollutant or sector). Otherwise this is just confusing to readers which are not familiar with the method (and readers of the manuscript usually are not familiar with the method)

Please revise the new part on p2l16-p2l30 completely, as it reads very confusing. Adding the term ‚differences‘ adds more confusion and does not help to clarify things here. Further, tagging describes only a method and is not limited to ozone molecules (see also p2l27ff)

The authors did not answered my question about which models offer the advective fluxes as normal available quantities (p5l19f).

P7l4: Where are the ‚official EMEP MSC-W model runs‘ (settings) documented?

Technical comments:

P2L22: The sentence does not make sense. Please check.

P15l13: Please clarify ‚in earlier versions‘. I guess you meant earlier versions of EMEP?

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ED: Publish subject to minor revisions (review by editor) (12 Feb 2020) by Patrick Jöckel

AR by Peter Wind on behalf of the Authors (14 Feb 2020) Author's response Manuscript

ED: Publish as is (26 Feb 2020) by Patrick Jöckel

AR by Peter Wind on behalf of the Authors (26 Feb 2020) Manuscript

Short summary

We present a new method for individually quantifying the contributions from different sources to local air pollution. The method can be used to distinguish the sources of local air pollution for any position in one single model simulation and thus to provide detailed maps of the origin of the pollutants. Hence, it can be used for time-critical operational services by providing scientific information as input for local policy decisions on air pollution abatement.