Preprints
https://doi.org/10.5194/egusphere-2025-202
https://doi.org/10.5194/egusphere-2025-202
28 Feb 2025
 | 28 Feb 2025

High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid

Bas Mijling, Henk Eskes, Sascha Hofmann, Pau Moreno, David García Falin, and María Encarnación de Vega Pastor

Abstract. Urban air pollution poses a significant health risk, with over half the global population living in cities where air quality often exceeds World Health Organization (WHO) guidelines. A comprehensive understanding of local pollution levels is essential for addressing this issue. Recent advancements in low-cost sensors and satellite instruments offer cost- efficient complements to reference stations but integrating these diverse data sources in useful monitoring tools is not straightforward. This study presents the updated Retina v2 algorithm, which generates high-resolution urban air pollution maps by assimilating heterogeneous measurements into a portable urban dispersion model. Tested for NO2 concentrations in Madrid during March 2019, it shows improved speed and accuracy over its predecessor, with the ability to incorporate satellite data. Retina v2 balances performance with modest computational demands, delivering similar or better results compared to complex dispersion models and machine learning approaches requiring extensive datasets. Using only TROPOMI satellite data, citywide NO2 simulations show an RMSE of 19.3 μg/m3, with better results when hourly in-situ measurements were included. Relying on data of a single ground station can introduce biases, which can be mitigated by incorporating satellite data or multiple ground stations. Including more stations improves accuracy, with 24 stations yielding a correlation of 0.90 and an RMSE of 13.0 μg/m3. The benefit of TROPOMI diminishes when data from five or more ground stations is available, but it remains valuable for many cities which have limited monitoring networks.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Journal article(s) based on this preprint

25 Sep 2025
High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid
Bas Mijling, Henk Eskes, Sascha Hofmann, Pau Moreno, David García Falin, and María Encarnación de Vega Pastor
Geosci. Model Dev., 18, 6439–6460, https://doi.org/10.5194/gmd-18-6439-2025,https://doi.org/10.5194/gmd-18-6439-2025, 2025
Short summary
Bas Mijling, Henk Eskes, Sascha Hofmann, Pau Moreno, David García Falin, and María Encarnación de Vega Pastor

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2025-202 - No compliance with the policy of the journal', Juan Antonio Añel, 21 Mar 2025
    • AC1: 'Reply on CEC1', Bas Mijling, 28 Mar 2025
  • RC1: 'Comment on egusphere-2025-202', Anonymous Referee #1, 10 Apr 2025
    • AC2: 'Reply on RC1', Bas Mijling, 02 Jul 2025
  • RC2: 'Comment on egusphere-2025-202', Anonymous Referee #2, 10 May 2025
    • AC3: 'Reply on RC2', Bas Mijling, 02 Jul 2025

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2025-202 - No compliance with the policy of the journal', Juan Antonio Añel, 21 Mar 2025
    • AC1: 'Reply on CEC1', Bas Mijling, 28 Mar 2025
  • RC1: 'Comment on egusphere-2025-202', Anonymous Referee #1, 10 Apr 2025
    • AC2: 'Reply on RC1', Bas Mijling, 02 Jul 2025
  • RC2: 'Comment on egusphere-2025-202', Anonymous Referee #2, 10 May 2025
    • AC3: 'Reply on RC2', Bas Mijling, 02 Jul 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Bas Mijling on behalf of the Authors (02 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (27 Jul 2025) by Makoto Saito
RR by Anonymous Referee #2 (11 Aug 2025)
ED: Publish as is (19 Aug 2025) by Makoto Saito
AR by Bas Mijling on behalf of the Authors (21 Aug 2025)

Journal article(s) based on this preprint

25 Sep 2025
High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid
Bas Mijling, Henk Eskes, Sascha Hofmann, Pau Moreno, David García Falin, and María Encarnación de Vega Pastor
Geosci. Model Dev., 18, 6439–6460, https://doi.org/10.5194/gmd-18-6439-2025,https://doi.org/10.5194/gmd-18-6439-2025, 2025
Short summary
Bas Mijling, Henk Eskes, Sascha Hofmann, Pau Moreno, David García Falin, and María Encarnación de Vega Pastor

Data sets

Retina v2 code and input data for Madrid case study Bas Mijling https://doi.org/10.21944/retina-v2-madrid-2019

Model code and software

Retina v2 code and input data for Madrid case study Bas Mijling https://doi.org/10.21944/retina-v2-madrid-2019

Bas Mijling, Henk Eskes, Sascha Hofmann, Pau Moreno, David García Falin, and María Encarnación de Vega Pastor

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Short summary
Given the serious health risks of urban air pollution, monitoring local pollution levels is crucial. The Retina v2 algorithm creates high-resolution pollution maps by integrating satellite and local measurements with an air quality model. Easily portable to other cities, it balances accuracy with low computational demands, matching or outperforming complex dispersion models and data-heavy machine learning. Satellite data proves especially valuable in cities with sparse or no monitoring networks.
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