High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam

Mijling, Bas

doi:https://doi.org/10.5194/amt-13-4601-2020

Articles | Volume 13, issue 8

https://doi.org/10.5194/amt-13-4601-2020

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

https://doi.org/10.5194/amt-13-4601-2020

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

Articles | Volume 13, issue 8

Research article

|

26 Aug 2020

Research article |

| 26 Aug 2020

High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam

Bas Mijling

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Final revised paper (published on 26 Aug 2020)
Supplement to the final revised paper
Preprint (discussion started on 17 Dec 2019)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review of "High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam"', Anonymous Referee #1, 13 Jan 2020
- AC1: 'Response to Reviewer #1', Bas Mijling, 22 Jun 2020
RC2: 'Review', Anonymous Referee #2, 01 Feb 2020
- AC2: 'Response to Reviewer #2', Bas Mijling, 22 Jun 2020

Peer-review completion

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

AR by Bas Mijling on behalf of the Authors (22 Jun 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (02 Jul 2020) by Dominik Brunner

RR by Anonymous Referee #2 (08 Jul 2020)

ED: Publish subject to technical corrections (13 Jul 2020) by Dominik Brunner

Short summary

Many cities are experimenting with networks of low-cost sensors, complementary to their reference stations. Often the observations are published as dots on a map, as spatial interpolation is far from trivial. A new methodology to assimilate observations of different accuracy in a generic urban-air-quality model is introduced. It can be used for mapping local air quality based on reference measurements only or as a framework to integrate low-cost measurements next to official measurements.