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Remote Sens. 2017, 9(2), 183;

Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement

Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, No. 40, Huayan Li, Chaoyang District, Beijing 100029, China
University of Chinese Academy of Sciences, No. 19A, Yuquan Lu, Shijing Shan District, Beijing 100049, China
RT Solutions, Cambridge, MA 02138, USA
Author to whom correspondence should be addressed.
Academic Editors: Jun Wang, Omar Torres, Yang Liu, Alexander A. Kokhanovsky, Richard Müller and Prasad S. Thenkabail
Received: 22 November 2016 / Revised: 29 January 2017 / Accepted: 16 February 2017 / Published: 22 February 2017
(This article belongs to the Special Issue Remote Sensing of Atmospheric Pollution)
Full-Text   |   PDF [4297 KB, uploaded 22 February 2017]   |  


Aerosol scattering is an important source of error in CO2 retrievals from satellite. This paper presents an analysis of aerosol information content from the Cloud and Aerosol Polarimetric Imager (CAPI) onboard the Chinese Carbon Dioxide Observation Satellite (TanSat) to be launched in 2016. Based on optimal estimation theory, aerosol information content is quantified from radiance and polarization observed by CAPI in terms of the degrees of freedom for the signal (DFS). A linearized vector radiative transfer model is used with a linearized Mie code to simulate observation and sensitivity (or Jacobians) with respect to aerosol parameters. In satellite nadir mode, the DFS for aerosol optical depth is the largest, but for mode radius, it is only 0.55. Observation geometry is found to affect aerosol DFS based on the aerosol scattering phase function from the comparison between different viewing zenith angles or solar zenith angles. When TanSat is operated in target mode, we note that multi-angle retrieval represented by three along-track measurements provides additional 0.31 DFS on average, mainly from mode radius. When adding another two measurements, the a posteriori error decreases by another 2%–6%. The correlation coefficients between retrieved parameters show that aerosol is strongly correlated with surface reflectance, but multi-angle retrieval can weaken this correlation. View Full-Text
Keywords: aerosol; CAPI; DFS; retrieval error aerosol; CAPI; DFS; retrieval error

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chen, X.; Yang, D.; Cai, Z.; Liu, Y.; Spurr, R.J.D. Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement. Remote Sens. 2017, 9, 183.

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