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The spatial–temporal variations in optical properties of atmosphere aerosols derived from AERONET dataset over China

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Abstract

The spatial–temporal properties of aerosol types over China are studied using the radiance measurements and inversions data at four Aerosol Robotic Network (AERONET) stations in China. Based on a cluster analysis, five aerosol classes were identified including a coarse-sized dominated aerosol type (presumably dust) and four fine-sized dominated aerosol types ranging from non-absorbing to highly absorbing fine aerosols. The optical properties and seasonal variations of these aerosol types are investigated. The results of analysis show that: (1) the highly absorbing aerosols usually occur in winter, (2) non-absorbing aerosols are frequently observed in summer; (3) coarse-sized dominated aerosols are frequently occurred in spring.

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Acknowledgments

This research was supported by the National Basic Research Program of China (973 Program) (Grant No: 2010CB950800), the Strategic Priority Research Program of the Chinese Academy of Sciences, Climate Change: Carbon Budget and Relevant Issues (Grant No. XDA05100201), the Funds of the Chinese Academy of Sciences for Key Topics in Innovation Engineering (Grant No: KZCX2-EW-QN311), and the National Natural Science Foundation of China (Grant No: 41001207). We thank the PIs and their staff for establishing and maintaining the AERONET sites used in this study.

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Authors and Affiliations

  1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China

    H. Chen, X. Gu, T. Cheng, Z. Li & T. Yu

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  1. H. Chen
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  2. X. Gu
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  3. T. Cheng
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  4. Z. Li
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  5. T. Yu
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Correspondence to T. Cheng.

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Responsible editor: S. Trini Castelli.

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Chen, H., Gu, X., Cheng, T. et al. The spatial–temporal variations in optical properties of atmosphere aerosols derived from AERONET dataset over China. Meteorol Atmos Phys 122, 65–73 (2013). https://doi.org/10.1007/s00703-013-0268-2

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  • DOI: https://doi.org/10.1007/s00703-013-0268-2

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