Articles | Volume 18, issue 19
https://doi.org/10.5194/gmd-18-6717-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.A close look at using national ground stations for the statistical modeling of NO2
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- Final revised paper (published on 02 Oct 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 23 Oct 2023)
- Supplement to the preprint
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- RC1: 'Comment on egusphere-2023-1260', Anonymous Referee #1, 09 Nov 2023
- RC2: 'Comment on egusphere-2023-1260', Anonymous Referee #2, 14 Jan 2024
- AC1: 'Comment on egusphere-2023-1260', Foeke Boersma, 25 Mar 2024
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AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Foeke Boersma on behalf of the Authors (26 Mar 2024)
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ED: Referee Nomination & Report Request started (06 Apr 2024) by Klaus Klingmüller
RR by Anonymous Referee #1 (08 May 2024)

RR by Anonymous Referee #3 (27 May 2024)

ED: Reconsider after major revisions (12 Jun 2024) by Klaus Klingmüller

AR by Foeke Boersma on behalf of the Authors (12 Sep 2024)
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ED: Referee Nomination & Report Request started (11 Oct 2024) by Klaus Klingmüller
RR by Anonymous Referee #4 (25 Oct 2024)

RR by Anonymous Referee #1 (27 Oct 2024)

ED: Reconsider after major revisions (14 Nov 2024) by Klaus Klingmüller

AR by Foeke Boersma on behalf of the Authors (24 Dec 2024)
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ED: Referee Nomination & Report Request started (26 Jan 2025) by Klaus Klingmüller
RR by Anonymous Referee #4 (05 Feb 2025)

ED: Publish subject to minor revisions (review by editor) (06 Feb 2025) by Klaus Klingmüller

AR by Foeke Boersma on behalf of the Authors (04 Apr 2025)
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ED: Publish subject to minor revisions (review by editor) (09 Apr 2025) by Klaus Klingmüller

AR by Foeke Boersma on behalf of the Authors (11 Apr 2025)
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ED: Publish as is (15 Apr 2025) by Klaus Klingmüller
AR by Foeke Boersma on behalf of the Authors (23 Apr 2025)
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General comments:
Currently, many studies are using spatially sparse fixed-site measurements to map air pollution on a large scale, ignoring the local spatial heterogeneities such as the intra-city variations. This article evaluated the performance of various algorithms across different scales and validated the accuracy separately in subsets categorized by road density and population density. They found that the model performance varied significantly at different spatial locations. The pattern was found to be different in “global” and local models. The comparison between “global” and local models in terms of intra-city distribution patterns is valuable. However, in its present form, I cannot recommend the article for publication. With substantial revision and restructuring, this article could be a useful addition to the existing literature.
The writing needs further improvement. The current version is not easy to read. First, this is too long. I appreciate the solid work of the authors. But please simplify the main text and consider moving some descriptions/figures to the Appendix. Keep only the core story in the main text and make sure the primary findings and the most important messages stand out. Second, consider restructuring the method/data and the result section. Third, the caption of figures and tables needs more details, including the unit of NO2. Fourth, Clarify definitions like “Far from road” vs “Rural”. Last, please pay attention to the tense usage.
Specific comments:
Technical corrections:
I have listed some specific points. But not limited to them.
Abstract:
The abstract attempts to encompass numerous findings but allocates insufficient space to elucidate the methodology and experimental setting. A substantial rephrasing of the abstract is needed.
Line 1-5, toing and froing, can be simplified.
Line 6, please provide more details about the meaning of “spatial heterogeneity” in this context.
Line 9-10 what is the local and global model? Define first, before using it.
Methodology:
Line 100-105, not clear. How do you divide the area? Purpose? What is the time frame of these national measurements? Frequency of measuring? Any preprocessing? More details are needed here. How do you define the less densely populated area? What is the source of the population density data?
Line 121, “rural”= “Far from roads”? Please keep the terminology consistent.
Line 123, the label of models should be provided as the legend in the figure instead of in the caption.
Line 130-135, unit of NO2 is missing. This paragraph is not informative. The values can be integrated into the figure 1.
Line 145, More details about kriging and accuracy are needed.
Line 160-165, is the traffic volume used as the annual average? Table 1. it would help readers to understand the data distribution by adding columns such as numbers and some statistics like mean, median, quantiles etc.
Line 168, the section title should begin with a capital letter, and further refinement is necessary in terms of formatting.
Line 190, not clear. Please do not refer to the citation but to the dataset you have described in section 2.1.
Line 195, rephrase please instead of a direct quote.
Line 196, details of the tuning strategy are missing.
Result and discussion:
Line 465, how do you compare the influence of predictors between cities? The feature importance is a relative value. The magnitude is not meaningful when compared to the other models.
Line 515, which is opposite to the common knowledge (see Hoek et. al., 2008). Can you explain why non-linear model predictions were smoother?