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. 2018 Feb 12;9:617. doi: 10.1038/s41467-018-02986-7

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Comparison of observed and simulated PM_2.5 concentrations. a Annual mean surface PM_2.5 concentrations. Model results for 2014 (background) are compared with surface measurements from 2016 (filled circles). b Comparison of annual and seasonal mean surface PM_2.5 concentrations. The best fit line (green), 1:1, 2:1 and 1:2 lines are shown (black). Annual, winter (DJF), spring (MAM), summer (JJA) and autumn (SON) normalised mean bias (NMB) are −0.10, −0.24, −0.07, 0.69 and −0.10, respectively. The best fit line for annual data has slope = 0.70 and Pearson’s correlation coefficient (r) = 0.19