Information analysis of aerosol and surface parameters in PSAC observation over land
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1.Key Laboratory of General Optical Calibration and Characterization Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China;2.University of Science and Technology of China, Hefei 230026, China;3.Chief Studio of Agricultural Industry in Hefei, Hefei 230031, China

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Supported by Key Technology Program for Satellite Application(30-Y20A010-9007-17/18),National Key Research and Development Program of China (2016YFE0201400),Key Project of Hefei Institute of Physical Science Chinese Acadeny of sciences (Y73H9P180)

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    Abstract:

    In order to meet the aerosol retrieval application requirements of polarized scanning atmospheric corrector (PSAC) over land, the information content and a posterior error analysis is applied to the synthetic data in this paper, which inherits from the optimal estimate theoretical framework. We discussed the angle dependence of the degrees of freedom for signal (DFS) of the aerosol and surface parameters in different scenarios, and analyzed the posterior errors of the aerosol and surface parameters. On this basis, the variation trend of the aerosol and surface parameters DFS with aerosol optical depth (AOD) and surface reflectivity is analyzed. The results show that: 1) Under different observation geometry, the total DFS of aerosol parameters vary greatly, and the optimal scattering angle range of aerosol parameters is . 2) The columnar aerosol volumes( and ) for the coarse mode dominated aerosols and the columnar aerosol volumes() for fine-dominated aerosol models can be inverted at any observation angle, and some parameters of particle size distribution and refractive index can be obtained at large scattering angle. 3) The increase in polarization information is helpful to the inversion of aerosol parameters under the bright surface, and the increase of short-wave infrared band can improve the ability to obtain surface parameters under the condition of high AOD.

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FAN Yi-Zhe, SUN Xiao-Bing, TI Ru-Fang, HUANG Hong-Lian, LIU Xiao. Information analysis of aerosol and surface parameters in PSAC observation over land[J]. Journal of Infrared and Millimeter Waves,2022,41(4):771~785

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History
  • Received:November 29,2021
  • Revised:August 13,2022
  • Adopted:March 29,2022
  • Online: August 10,2022
  • Published: