Sustainability, Volume 17, Issue 22
2025 November-2 - 508 articles
Cover Story: This study presents the first systematic intercomparison of five fine-scale PM2.5 and two O3 datasets in China between 2014 and 2023, evaluated against ground-based observations at national, regional, and provincial levels. We present both operational (single time point) and dynamic (change over time) evaluations to understand how model results compare with observations for each year and to quantify model performance in assessing long-term changes in air quality. The results show that that CHAP provides the most reliable estimates of PM2.5, while TAP is most effective for O3; however, model performance varies spatially and temporally in relation to several factors, including the number of observational monitors in a given location, recent changes in pollutant concentrations, and extreme meteorological conditions. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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