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. In this study, a full description and comprehensive evaluation of a global–regional nested model, the Aerosol and Atmospheric Chemistry Model of the Institute of Atmospheric Physics (IAP-AACM), is presented for the first time. Not only are the global budgets and distribution explored, but comparisons of the nested simulation over China against multiple datasets are investigated,which benefit from access to Chinese air quality monitoring data from 2013 to the present and the “Model Inter-Comparison Study for Asia” project. The modelresults and analysis can help reduce uncertainties and aid with understandingmodel diversity with respect to assessing global and regional aerosol effects on climateand human health, especially over East Asia and areas affected by East Asia.For the global simulation, the 1-year simulation for 2014 shows that theIAP-AACM is within the range of other models. Overall, it reasonablyreproduced spatial distributions and seasonal variations of trace gases andaerosols in both surface concentrations and column burdens (mostly withina factor of 2). The model captured spatial variation for carbonmonoxide well with a slight underestimation over ocean, which implicates theuncertainty of the ocean source. The simulation also matched the seasonal cycleof ozone well except for the continents in the Northern Hemisphere, which was partly due to thelack of stratospheric–tropospheric exchange. For aerosols, the simulation offine-mode particulate matter (PM 2.5 ) matched observations well. Thesimulation of primary aerosols (normalized mean biases, NMBs, are within ±0.64 ) is better than that of secondary aerosols (NMB values are greater than 1.0 in some regions). For the nested regional simulation, the IAP-AACM shows thesuperiority of higher-resolution simulation using the nested domain overEast Asia. The model reproduced variation of sulfur dioxide ( SO2 ),nitrogen dioxide ( NO2 ), and PM 2.5  accurately in typical cities,with correlation coefficients ( R ) above 0.5 and NMBs within  ±0.5 .Compared with the global simulation, the nested simulation exhibits animproved ability to capture the high temporal and spatial variability overChina. In particular, the  R  values for  SO2 ,  NO2  and PM 2.5  are increasedby  ∼0.15 ,  ∼0.2 , and  ∼0.25 respectively in the nested grid. Based on the evaluation and analysis,future model improvements are suggested.

IAP-AACM v1.0: a global to regional evaluation of the atmospheric chemistry model in CAS-ESM