著者
KAJINO Mizuo DEUSHI Makoto SEKIYAMA Tsuyoshi Thomas OSHIMA Naga YUMIMOTO Keiya TANAKA Taichu Yasumichi CHING Joseph HASHIMOTO Akihiro YAMAMOTO Tetsuya IKEGAMI Masaaki KAMADA Akane MIYASHITA Makoto INOMATA Yayoi SHIMA Shin-ichiro TAKAMI Akinori SHIMIZU Atsushi HATAKEYAMA Shiro SADANAGA Yasuhiro IRIE Hitoshi ADACHI Kouji ZAIZEN Yuji IGARASHI Yasuhito UEDA Hiromasa MAKI Takashi MIKAMI Masao
出版者
Meteorological Society of Japan
雑誌
気象集誌. 第2輯 (ISSN:00261165)
巻号頁・発行日
pp.2019-020, (Released:2018-12-09)
被引用文献数
36

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.
著者
Stokes Aaron J. Matsuda Hideo Hashimoto Akihiro
出版者
一般社団法人電子情報通信学会
雑誌
電子情報通信学会技術研究報告. DE, データ工学 (ISSN:09135685)
巻号頁・発行日
vol.99, no.202, pp.111-116, 1999-07-22

In our previous work, we introduced a novel method for exchanging and querying complete genome data by representing them as structured documents. We defined an XML-based genome language called GXML, and a genome-oriented query language called GQL for making biologically meaningful queries on GXML genome documents. In this paper, we extend GQL with aggregate functions and sorting capability to further increase the usefulness of our method. We discuss the additional syntax and present several examples of biological queries that require aggregation. We are currently investigating algorithms for implementing the new constructs in a prototype system.