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This study explores the use of hourly O3 concentration histograms to analyze air quality monitoring stations and evaluate photochemical model performance, using stations in Spain as a case study. Comparing official station classifications to the shapes of observed histograms, we observed that some histograms show patterns that do not entirely align with the assigned categories. Temporal analyses (2000–2023) of O3 histograms showcased its evolution, aiding trend analysis and highlighting the potential need for station classification updates. A comparison of observed and simulated histograms during a 2018 O3 episode demonstrated their utility in assessing model accuracy and capturing local emission impacts. The study demonstrates that histograms are an easy-to-use yet powerful tool for visualizing O3 distribution patterns, supporting trend analysis and enhancing the assessment of photochemical model performance.

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Tropospheric Ozone Patterns: Applications of Its Extended Observation to Model Evaluation

  • 会议论文

  • 发表日期：

    2026年

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  • Ana Rodríguez-García,
  • Eduardo Torre-Pascual,
  • Magdalena Sofia Anguisola-Feijoo,
  • Gotzon Gangoiti,
  • Estibaliz Sáez de Cámara Oleaga,
  • María Carmen Gómez,
  • Maite de Blas,
  • Iñaki Zuazo,
  • Estíbaliz García-Ruiz,
  • José Antonio García

摘要

This study explores the use of hourly O3 concentration histograms to analyze air quality monitoring stations and evaluate photochemical model performance, using stations in Spain as a case study. Comparing official station classifications to the shapes of observed histograms, we observed that some histograms show patterns that do not entirely align with the assigned categories. Temporal analyses (2000–2023) of O3 histograms showcased its evolution, aiding trend analysis and highlighting the potential need for station classification updates. A comparison of observed and simulated histograms during a 2018 O3 episode demonstrated their utility in assessing model accuracy and capturing local emission impacts. The study demonstrates that histograms are an easy-to-use yet powerful tool for visualizing O3 distribution patterns, supporting trend analysis and enhancing the assessment of photochemical model performance.