globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosres.2018.10.016
Scopus记录号: 2-s2.0-85056231585
论文题名:
Aerosol model evaluation using two geostationary satellites over East Asia in May 2016
作者: Goto D.; Kikuchi M.; Suzuki K.; Hayasaki M.; Yoshida M.; Nagao T.M.; Choi M.; Kim J.; Sugimoto N.; Shimizu A.; Oikawa E.; Nakajima T.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2019
卷: 217
起始页码: 93
结束页码: 113
语种: 英语
英文关键词: Aerosols ; Geostationary satellite ; Model evaluation ; Siberian wildfire
Scopus关键词: Aerosols ; Fires ; Aerosol optical thickness ; Aerosol transport model ; Correlation coefficient ; High temporal resolution ; Horizontal distribution ; Long range transport ; Model evaluation ; Siberian wildfire ; Geostationary satellites ; aerosol ; atmospheric modeling ; atmospheric transport ; boundary condition ; geostationary satellite ; GOCI ; long range transport ; optical depth ; wildfire ; Far East
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°E-155°E, 20°N-50°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 ones, 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. © 2018 The Authors
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被引频次[WOS]:13   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122367
Appears in Collections:气候变化事实与影响

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作者单位: National Institute for Environmental Studies (NIES), 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan; Earth Observation Research Center (EORC), Japan Aerospace Exploration Agency (JAXA), Japan; Atmosphere and Ocean Research Institute, University of Tokyo, Japan; Japan Automobile Research Institute, Japan; Department of Atmospheric Sciences, Yonsei University, South Korea; Research Institute for Applied Mechanics, Kyushu University, Japan

Recommended Citation:
Goto D.,Kikuchi M.,Suzuki K.,et al. Aerosol model evaluation using two geostationary satellites over East Asia in May 2016[J]. Atmospheric Research,2019-01-01,217
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