Aerosol model evaluation using two geostationary satellites over East Asia in May 2016

Daisuke Goto, Maki Kikuchi, Kentaroh Suzuki, Masamitsu Hayasaki, Mayumi Yoshida, Takashi M. Nagao, Myungje Choi, Jhoon Kim, Nobuo Sugimoto, Atsushi Shimizu, Eiji Oikawa, Teruyuki Nakajima

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)93-113
Number of pages21
JournalAtmospheric Research
Volume217
DOIs
Publication statusPublished - 2019 Mar 1

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geostationary satellite
aerosol
wildfire
Asia
evaluation
long range transport
MODIS
boundary condition
plume
extinction

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

Goto, D., Kikuchi, M., Suzuki, K., Hayasaki, M., Yoshida, M., Nagao, T. M., ... Nakajima, T. (2019). Aerosol model evaluation using two geostationary satellites over East Asia in May 2016. Atmospheric Research, 217, 93-113. https://doi.org/10.1016/j.atmosres.2018.10.016
Goto, Daisuke ; Kikuchi, Maki ; Suzuki, Kentaroh ; Hayasaki, Masamitsu ; Yoshida, Mayumi ; Nagao, Takashi M. ; Choi, Myungje ; Kim, Jhoon ; Sugimoto, Nobuo ; Shimizu, Atsushi ; Oikawa, Eiji ; Nakajima, Teruyuki. / Aerosol model evaluation using two geostationary satellites over East Asia in May 2016. In: Atmospheric Research. 2019 ; Vol. 217. pp. 93-113.
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abstract = "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.",
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Goto, D, Kikuchi, M, Suzuki, K, Hayasaki, M, Yoshida, M, Nagao, TM, Choi, M, Kim, J, Sugimoto, N, Shimizu, A, Oikawa, E & Nakajima, T 2019, 'Aerosol model evaluation using two geostationary satellites over East Asia in May 2016' Atmospheric Research, vol. 217, pp. 93-113. https://doi.org/10.1016/j.atmosres.2018.10.016

Aerosol model evaluation using two geostationary satellites over East Asia in May 2016. / Goto, Daisuke; Kikuchi, Maki; Suzuki, Kentaroh; Hayasaki, Masamitsu; Yoshida, Mayumi; Nagao, Takashi M.; Choi, Myungje; Kim, Jhoon; Sugimoto, Nobuo; Shimizu, Atsushi; Oikawa, Eiji; Nakajima, Teruyuki.

In: Atmospheric Research, Vol. 217, 01.03.2019, p. 93-113.

Research output: Contribution to journalArticle

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T1 - Aerosol model evaluation using two geostationary satellites over East Asia in May 2016

AU - Goto, Daisuke

AU - Kikuchi, Maki

AU - Suzuki, Kentaroh

AU - Hayasaki, Masamitsu

AU - Yoshida, Mayumi

AU - Nagao, Takashi M.

AU - Choi, Myungje

AU - Kim, Jhoon

AU - Sugimoto, Nobuo

AU - Shimizu, Atsushi

AU - Oikawa, Eiji

AU - Nakajima, Teruyuki

PY - 2019/3/1

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N2 - 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.

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