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Proceedings Paper

Assessment on aerosol direct radiative forcing over China land areas based on satellite data
Author(s): Lin Chen; Guangyu Shi; Biao Wang; Peng Zhang
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Paper Abstract

Detailed data of spatial and temporal distribution and radiative properties of aerosols are required for assessment on aerosol direct radiative forcing. In recent years, with the development of remote sensing instruments as well as corresponding sophisticated inversion algorithms, the global aerosol distribution can be acquired by satellite remote sensing. The aerosol optical depth in the areas with high surface albedo can be inversed by the latest MODIS deep blue algorithm with good complementarity to the applicable areas with traditional dark target inversion scheme. Based on both algorithms, the distribution of aerosol optical depth over land areas of China in 2005 was provided, with an averaged value 0.31. Moreover, the aerosol optical depths are high in spring and summer while low value in autumn and winter, and greatly different in different areas. In addition, the surface albedo data inversed by MODIS and MISR were coupled into the self-developed radiative model,called RAD01. The aerosol direct radiative forcing at the top of atmosphere (TOA), on the surface and in the atmosphere over land areas of China were calculated as -7±2Wm-2, -21.9 ±6.4Wm-2 and 4.9±4.3Wm-2 respectively. Due to the strong absorptivity of aerosols over land areas of China, the aerosol radiative forcing on the surface was three times larger than that at TOA, with a strong heating effect on the atmosphere.

Paper Details

Date Published: 15 August 2011
PDF: 6 pages
Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82031A (15 August 2011); doi: 10.1117/12.910427
Show Author Affiliations
Lin Chen, China Meteorological Administration (China)
Guangyu Shi, Institute of Atmospheric Physics (China)
Biao Wang, Institute of Atmospheric Physics (China)
Peng Zhang, China Meteorological Administration (China)

Published in SPIE Proceedings Vol. 8203:
Remote Sensing of the Environment: The 17th China Conference on Remote Sensing
Qingxi Tong; Xingfa Gu; Boqin Zhu, Editor(s)

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