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

AR by Bas Mijling on behalf of the Authors (21 Jul 2020) Manuscript

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.