Evaluation of seasonal change of aerosol properties from satellite and simulations

Makiko Mukai; Itaru Sano

doi:10.1117/12.829606

25 September 2009 Evaluation of seasonal change of aerosol properties from satellite and simulations

Makiko Mukai, Itaru Sano

Proceedings Volume 7475, Remote Sensing of Clouds and the Atmosphere XIV; 74751F (2009) https://doi.org/10.1117/12.829606
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

A wide variety of aerosols are suspended in the atmosphere. Especially in East Asia, a huge amount of fossil fuel burning aerosols are emitted throughout the year. Further it seems that the characteristics of aerosols change with the season, and hence the influence impact of aerosols over the climate also varies according to the season. Thus an accurate estimation of seasonal aerosol properties is an urgent subject on the global climate problem. This work is based on the Moderate-resolution Imaging Spectroradiometer (MODIS) data and the simulation results with a three-dimensional aerosol transport-radiation model. It is of interest to mention that aerosol distribution explicitly shows the seasonal change. For example, aerosol concentration in summer is larger than that in winter from eastern China to Japan. This result is drawn from both MODIS data and model simulations. The model simulations suggest that the seasonal change is due to the variations in the photochemical reaction process and transportation process. MODIS data shows that the sulfate aerosols are much more dominant in summer than those in winter at Beijing which is influenced strongly by fossil fuel burning aerosols. This fact is also supported by model simulations. From the present study I can draw such a result in respect of surface radiation budget as the aerosol impact on the reduction of solar radiation is more dominant in summer than that in winter in East Asia.

Citation Download Citation

Makiko Mukai and Itaru Sano "Evaluation of seasonal change of aerosol properties from satellite and simulations", Proc. SPIE 7475, Remote Sensing of Clouds and the Atmosphere XIV, 74751F (25 September 2009); https://doi.org/10.1117/12.829606

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KEYWORDS

Aerosols

Atmospheric modeling

Data modeling

MODIS

Solar radiation models

3D modeling

Combustion

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