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Proceedings Paper

Local distribution of PM2.5 concentration over Osaka based on space and ground measurements
Author(s): Itaru Sano; Sonoyo Mukai; Makiko Nakata; Nobuo Sugimoto; Brent N. Holben
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Paper Abstract

This work intends to estimate PM2.5 concentration over mega city Osaka in Japan based on both satellite and ground measurements. Our work is composed of the following steps. At first the relationship between PM2.5 and aerosol optical thickness (AOT) is derived by using the ground measurements with sun photometer and PM-sampler, respectively. In addition vertical distribution of aerosol particles are also investigated by LIDAR measurements. The second step is to retrieve columnar AOT distribution from the space-based reflectance information with CAI (cloud aerosol imager) on GOSAT (greenhouse gases observing satellite). Note that, the PM2.5 measurements indicate the surface level concentration of the atmospheric particles, and hence the columnar AOT distribution should be converted to the surface level aerosol optical depth (AOD) based on the aerosol extinction profile with LIDAR. Finally, PM2.5 distribution is obtained from the relationship derived at the first step. The obtained results of PM2.5 are partially validated with the sampling data of PM2.5 at the surface.

Paper Details

Date Published: 1 November 2012
PDF: 7 pages
Proc. SPIE 8534, Remote Sensing of Clouds and the Atmosphere XVII; and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VIII, 85340C (1 November 2012); doi: 10.1117/12.974434
Show Author Affiliations
Itaru Sano, Kinki Univ. (Japan)
Sonoyo Mukai, Kinki Univ. (Japan)
Makiko Nakata, Kinki Univ. (Japan)
Nobuo Sugimoto, National Institute for Environmental Studies (Japan)
Brent N. Holben, NASA Goddard Space Flight Ctr. (United States)


Published in SPIE Proceedings Vol. 8534:
Remote Sensing of Clouds and the Atmosphere XVII; and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VIII
Upendra N. Singh; Gelsomina Pappalardo; Evgueni I. Kassianov; Adolfo Comeron; Richard H. Picard; Klaus Schäfer, Editor(s)

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