Journal of the Meteorological Society of Japan. Ser. II
Online ISSN : 2186-9057
Print ISSN : 0026-1165
ISSN-L : 0026-1165

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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 KAJINO, Makoto DEUSHI, Tsuyoshi Thomas SEKIYAMA, Naga OSHIMA, Keiya YUMIMOTO, Taichu Yasumichi TANAKA, Joseph CHING, Akihiro HASHIMOTO, Tetsuya YAMAMOTO, Masaaki IKEGAMI, Akane KAMADA, Makoto MIYASHITA, Yayoi INOMATA, Shin-ichiro SHIMA, Akinori TAKAMI, Atsushi SHIMIZU, Shiro HATAKEYAMA, Yasuhiro SADANAGA, Hitoshi IRIE, Kouji ADACHI, Yuji ZAIZEN, Yasuhito IGARASHI, Hiromasa UEDA, Takashi MAKI, Masao MIKAMI
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JOURNAL FREE ACCESS Advance online publication
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Article ID: 2019-020

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Abstract
 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 5-category non-equilibrium, 3-category non-equilibrium, and bulk equilibrium methods. 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 by 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 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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