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    Author(s): J. Liu; X. Xia; Z. Li; P. Wang; M. Min; WeiMin Hao; Y. Wang; J. Xin; X. Li; Y. Zheng; Z. Chen
    Date: 2010
    Source: Tellus. 62B: 117-124.
    Publication Series: Scientific Journal (JRNL)
    Station: Rocky Mountain Research Station
    PDF: View PDF  (372.0 KB)

    Description

    Based on AErosol RObotic NETwork and Chinese Sun Hazemeter Network data, the Multi-angle Imaging SpectroRadiometer (MISR) level 2 aerosol optical depth (AOD) products are evaluated in China. The MISR retrievals depict well the temporal aerosol trend in China with correlation coefficients exceeding 0.8 except for stations located in northeast China and at the Lanzhou site. In general, the MISR AOD retrievals agree well with ground-based observations for AOD < 0.5. The retrievals are systematically underestimated for AOD > 0.5 in the east, southwest and northeast regions of China. Concerning surface types, the greatest underestimations occur in farmland and forest ecosystems. The largest and smallest biases are seen in spring and in summer, respectively. The systematic underestimation seems to stem from the use of too high single scattering albedos ~0.96 which is significantly higher than those estimated from ground-based observations. Further improvements to the MISR aerosol algorithm, especially in the aerosol model, are recommended.

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    Citation

    Liu, J.; Xia, X.; Li, Z.; Wang, P.; Min, M.; Hao, W.; Wang, Y.; Xin, J.; Li, X.; Zheng, Y.; Chen, Z. 2010. Validation of multi-angle imaging spectroradiometer aerosol products in China. Tellus. 62B: 117-124.

    Keywords

    aerosol, aerosols air quality, atmospheric potential oxygen (apo), biomass burning, carbon cycle, carbon dioxide, carbon monoxide, climate change, dry deposition eddy covariance, energy balance, methane mineral dust, mozaic, ozone precipitation radiative forcing, urban

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