Journal of Atmospheric and Environmental Optics ›› 2022, Vol. 17 ›› Issue (1): 160-170.

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Evaluation of accuracy of aerosol optical and radiative products retrieved by aerosol component method

ZHANG Xindan1, LI Lei1∗, CHEN Cheng2, GUI Ke1, ZHENG Yu1, LIANG Yuanxin1, YAO Wenrui1, CHE Huizheng1   

  1. 1 Chinese Academy of Meteorological Sciences, Key Laboratory of Atmospheric Chemistry of CMA, Beijing 100081, China; 2 University of Lille, Laboratoire d′Optique Atmospherique, Lille 59000, France
  • Received:2021-09-28 Revised:2021-10-29 Online:2022-01-28 Published:2022-01-28
  • Supported by:
    Supported by the National Key Research and Development Program (国家重点研发计划, 2019YFC0214603), National Natural Science Foundation of China (国家自然科学基金, 41905117), National Science Fund for Distinguished Young Scholars (国家杰出青年科学基金, 41825011)

Abstract: Based on the POLDER-3 multi-angle polarimetric observation data from 2005 to 2013, the global aerosol comprehensive products are obtained through the newly developed aerosol component method which enables simultaneous inversion of aerosol optical properties and component information, and then the AERONET (Aerosol Robotic Network) global site observation data are used to validate and comprehensively evaluate the retrieval of aerosol optical property products, and the applicability and superiority of the component retrieval approach are also discussed. The overall validation results show that the quality of spectral AOD derived by the aerosol component approach from POLDER measurements is comparable to AERONET measurements. In addition, the polarimetric observations based on aerosol component approach can provide more information on aerosol properties, such as spectral absorption AOD (AAOD) and Ångstrom exponent (AE) for di ¨ fferent band combinations (440/670 nm, 670/870 nm, 870/1020 nm, 440/1020 nm), and all these aerosol optical property products have fairly small biases, demonstrating that the algorithm is able to achieve a better fit to the observation data, which provides a basis for further improvement of the algorithm.

Key words: atmospheric aerosols, aerosol component method, satellite polarimetric observations, aerosol optical and radiative properties

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