Comparison of global air pollution impacts across horizontal resolutions

20101 6 107928 2 327189 document 107928 1-s2.0-S2590162124000704-main.pdf application/pdf 6d7c6c8c11f3333f35eea5c61c9295f7 MD5 7438728 2024-11-08 06:00:58 https://pure.iiasa.ac.at/id/eprint/20101/1/1-s2.0-S2590162124000704-main.pdf 20101 1 1 application/pdf text en public cc_by_4

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/107928 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/107928 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/107928 archive 353 disk0/00/02/01/01 2024-11-08 06:02:42 2024-11-08 06:02:42 2024-11-08 06:02:42 article show Jansakoo T. Watanabe R. Uetani A. Sekizawa S. Fujimori S. 8258 0000-0001-7897-1796 Hasegawa T. Oshiro K. Comparison of global air pollution impacts across horizontal resolutions pub ECE S3 TISS Air pollution; Atmospheric chemistry transport model; Climate change; GEOS-Chem; Horizontal resolution; O3; PM2.5 The impact of ambient air pollution on human health, particularly fine particulate matter (PM2.5) and tropospheric ozone (O3), is a critical global concern. Atmospheric chemical transport models (CTMs) are widely used to predict air pollutant concentrations and assess associated health risks. However, there is a need to better understand how the horizontal resolution of these models influences their accuracy, especially in future assessments. In this study, we compared the performance of global low-resolution CTMs with high-resolution nested simulations for estimating O3 and PM2.5 concentrations. The models were validated against observational data to determine their accuracy across different spatial scales and to evaluate their suitability for future scenario assessments. Our findings demonstrate that while the nested-grid simulations improved the reproducibility of regional observations, especially in areas with complex topography or localized emissions, the overall global-scale performance of the model did not significantly benefit from higher resolution. Additionally, the differences in global health and agricultural impacts between low- and high-resolution simulations were minor and within the range of uncertainty typically associated with emission inventories and CTMs. However, for specific regional studies or policy applications, higher resolution may offer improved accuracy. Ultimately, the current low-spatial-resolution model provides sufficient accuracy for many global-scale applications, but the choice of resolution should be carefully considered depending on the specific objectives of the study especially in future scenario. 2024-12 published Elsevier doi:10.1016/j.aeaoa.2024.100303 2881 public Atmospheric Environment: X 24 e100303 TRUE 25901621 no info:eu-repo/semantics/article