Journal of the Meteorological Society of Japan. Ser. II
Online ISSN : 2186-9057
Print ISSN : 0026-1165
ISSN-L : 0026-1165
Articles
NHM-Chem, the Japan Meteorological Agency's Regional Meteorology – Chemistry Model: Model Evaluations toward the Consistent Predictions of the Chemical, Physical, and Optical Properties of Aerosols
Mizuo KAJINOMakoto DEUSHITsuyoshi Thomas SEKIYAMANaga OSHIMAKeiya YUMIMOTOTaichu Yasumichi TANAKAJoseph CHINGAkihiro HASHIMOTOTetsuya YAMAMOTOMasaaki IKEGAMIAkane KAMADAMakoto MIYASHITAYayoi INOMATAShin-ichiro SHIMAAkinori TAKAMIAtsushi SHIMIZUShiro HATAKEYAMAYasuhiro SADANAGAHitoshi IRIEKouji ADACHIYuji ZAIZENYasuhito IGARASHIHiromasa UEDATakashi MAKIMasao MIKAMI
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Supplementary material

2019 Volume 97 Issue 2 Pages 337-374

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Abstract

 The model performance of a regional-scale meteorology-chemistry model (NHM-Chem) has been evaluated for the consistent predictions of the chemical, physical, and optical properties of aerosols. These properties are essentially important for the accurate assessment of air quality and health hazards, contamination of land and ocean ecosystems, and regional climate changes due to aerosol-cloud-radiation interaction processes. Currently, three optional methods are available: the five-category non-equilibrium method, the three-category non-equilibrium method, and the bulk equilibrium method. These three methods are suitable for the predictions of regional climate, air quality, and operational forecasts, respectively. In this paper, the simulated aerosol chemical, physical, and optical properties and their consistency were evaluated using various observation data in East Asia. The simulated mass, size, and deposition of SO42− and NH4+ agreed well with the observations, whereas those of NO3, sea salt, and dust needed improvement. The simulated surface mass concentration (PM10 and PM2.5) and spherical extinction coefficient agreed well with the observations. The simulated aerosol optical thickness (AOT) and dust extinction coefficient were significantly underestimated.

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© The Author(s) 2019. This is an open access article published by the Meteorological Society of Japan under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
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