Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2018.10.016 |
Aerosol model evaluation using two geostationary satellites over East Asia in May 2016 | |
Goto, Daisuke1; Kikuchi, Maki2; Suzuki, Kentaroh3; Hayasaki, Masamitsu4; Yoshida, Mayumi2; Nagao, Takashi M.2; Choi, Myungje5; Kim, Jhoon5; Sugimoto, Nobuo1; Shimizu, Atsushi1; Oikawa, Eiji6; Nakajima, Teruyuki2 | |
2019-03-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2019 |
卷号 | 217页码:93-113 |
文章类型 | Article |
语种 | 英语 |
国家 | Japan; South Korea |
英文摘要 | This study newly applies measurements from two geostationary satellites, the Advanced Himawari Imager (AHI) onboard the geostationary satellite Himawari-8 and the Geostationary Ocean Color imager (GOCI) onboard the geostationary satellite COMS, to evaluate a unique regional aerosol-transport model coupled to a non-hydrostatic icosahedral atmospheric model (NICAM) at a high resolution without any nesting technique and boundary conditions of the aerosols. Taking advantage of the unique capability of these geostationary satellites to measure aerosols with unprecedentedly high temporal resolution, we focus on a target area (115 degrees E-155 degrees E, 20 degrees N-50 degrees N) in East Asia in May 2016, which featured the periodic transport of industrial aerosols and a very heavy aerosol plume from Siberian wildfires. The aerosol optical thickness (AOT) fields are compared among the AHI, GOCI, MODIS, AERONET and NICAM data. The results show that both AHI- and GOCI-retrieved AOTs were generally comparable to the AERONET-retrieved cones, with high correlation coefficients of approximately 0.7 in May 2016. They also show that NICAM successfully captured the detailed horizontal distribution of AOT transported from Siberia to Japan on the most polluted day (18 May 2016). The monthly statistical metrics, including correlation between the model and either AHI or GOCI, are estimated to be > 0.4 in 42-49% of the target area. With the aid of sensitivity model experiments with and without Siberian wildfires, it was found that a long-range transport of aerosols from Siberian wildfires (from as far as 3000 km) to Japan influenced the monthly mean aerosol levels, accounting for 7-35% of the AOT, 26-49% of the surface PM2.5 concentrations, and 25-66% of the aerosol extinction above 3 km in height over Japan. Therefore, the air pollutants from Siberian wildfire cannot be ignored for the spring over Japan. |
英文关键词 | Aerosols Geostationary satellite Siberian wildfire Model evaluation |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000452931100010 |
WOS关键词 | OPTICAL-PROPERTIES ; ASSIMILATION ; VALIDATION ; HIMAWARI-8 ; RETRIEVAL ; SYSTEM ; SIMULATION ; GENERATION ; ALGORITHM ; PRODUCTS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/38281 |
专题 | 地球科学 |
作者单位 | 1.NIES, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan; 2.Japan Aerosp Explorat Agcy JAXA, EORC, Chofu, Tokyo, Japan; 3.Univ Tokyo, Atmosphere & Ocean Res Inst, Tokyo, Japan; 4.Japan Automobile Res Inst, Tsukuba, Ibaraki, Japan; 5.Yonsei Univ, Dept Atmospher Sci, Seoul, South Korea; 6.Kyushu Univ, Res Inst Appl Mech, Fukuoka, Fukuoka, Japan |
推荐引用方式 GB/T 7714 | Goto, Daisuke,Kikuchi, Maki,Suzuki, Kentaroh,et al. Aerosol model evaluation using two geostationary satellites over East Asia in May 2016[J]. ATMOSPHERIC RESEARCH,2019,217:93-113. |
APA | Goto, Daisuke.,Kikuchi, Maki.,Suzuki, Kentaroh.,Hayasaki, Masamitsu.,Yoshida, Mayumi.,...&Nakajima, Teruyuki.(2019).Aerosol model evaluation using two geostationary satellites over East Asia in May 2016.ATMOSPHERIC RESEARCH,217,93-113. |
MLA | Goto, Daisuke,et al."Aerosol model evaluation using two geostationary satellites over East Asia in May 2016".ATMOSPHERIC RESEARCH 217(2019):93-113. |
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