Preprints
https://doi.org/10.5194/egusphere-2023-2038
https://doi.org/10.5194/egusphere-2023-2038
10 Nov 2023
 | 10 Nov 2023

Validation and Analysis of the Polair3D v1.11 Chemical Transport Model Over Quebec

Shoma Yamanouchi, Shayamilla Mahagammulla Gamage, Sara Torbatian, Jad Zalzal, Laura Minet, Audrey Smargiassi, Ying Liu, Ling Liu, Youngseob Kim, Daniel Yazgi, Andrée-Anne Brown, and Marianne Hatzopoulou

Abstract. Air pollution is a major health hazard, and while air quality overall has been improving in industrialized nations, pollution is still a major economic and public health issue, with some species, such as ozone (O3), still exceeding the standards set by governing agencies. Chemical transport models (CTM) are valuable tools that aid in our understanding of the risks of air pollution both at local and regional scales. In this study, the Polair3D v1.11 CTM of the Polyphemus air quality modeling platform was set up over Quebec, Canada to assess the model’s capability in predicting key air pollutant species over the region, at seasonal temporal scales and at regional spatial scales. The simulation by the model included 3 nested domains, at resolutions of 9 km by 9 km, 3 km by 3 km, and two 1 km by 1 km domains covering the cities of Montreal and Quebec. We find that the model accurately captures the spatial variability and seasonal effects, and to a lesser extent, the hour-by-hour or day-to-day temporal variability for a fixed location. The model at both the 3 km and the 1 km resolution struggled to capture high frequency temporal variability, and showed large variabilities in correlation and bias from site to site. When comparing the biases and correlation at a site-wide scale, the 3 km domain showed slightly higher correlation for carbon monoxide (CO), nitrogen dioxide (NO2) and nitric oxide (NO), while ozone (O3), sulfur dioxide (SO2) and PM2.5 showed slight increases in correlation at the 1 km domain. The performance of the Polair3D model was in line with other models over Canada, and comparable to Polair3D’s performance over Europe.

Shoma Yamanouchi, Shayamilla Mahagammulla Gamage, Sara Torbatian, Jad Zalzal, Laura Minet, Audrey Smargiassi, Ying Liu, Ling Liu, Youngseob Kim, Daniel Yazgi, Andrée-Anne Brown, and Marianne Hatzopoulou

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2038', Anonymous Referee #1, 05 Dec 2023
    • AC1: 'Reply on RC1', Shoma Yamanouchi, 23 Feb 2024
  • RC2: 'Comment on egusphere-2023-2038', Anonymous Referee #2, 20 Dec 2023
    • AC2: 'Reply on RC2', Shoma Yamanouchi, 23 Feb 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2038', Anonymous Referee #1, 05 Dec 2023
    • AC1: 'Reply on RC1', Shoma Yamanouchi, 23 Feb 2024
  • RC2: 'Comment on egusphere-2023-2038', Anonymous Referee #2, 20 Dec 2023
    • AC2: 'Reply on RC2', Shoma Yamanouchi, 23 Feb 2024
Shoma Yamanouchi, Shayamilla Mahagammulla Gamage, Sara Torbatian, Jad Zalzal, Laura Minet, Audrey Smargiassi, Ying Liu, Ling Liu, Youngseob Kim, Daniel Yazgi, Andrée-Anne Brown, and Marianne Hatzopoulou
Shoma Yamanouchi, Shayamilla Mahagammulla Gamage, Sara Torbatian, Jad Zalzal, Laura Minet, Audrey Smargiassi, Ying Liu, Ling Liu, Youngseob Kim, Daniel Yazgi, Andrée-Anne Brown, and Marianne Hatzopoulou

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Short summary
Air pollution is a major health hazard, and chemical transport models are valuable tools that aid in our understanding of the risks of air pollution both at local and regional scales. In this study, the Polair3D CTM of the Polyphemus air quality modeling platform was set up over Quebec, Canada to assess the model’s capability in predicting key air pollutant species over the region, at seasonal temporal scales and at regional spatial scales.