Satellite Aerosol Retrieval From Multiangle Polarimetric Measurements: Information Content and Uncertainty Analysis

Wenhui Dong; Minghui Tao; Xiaoguang Xu; Jun Wang; Yi Wang; Lunche Wang; Yinyu Song; Meng Fan; Liangfu Chen

doi:10.1109/TGRS.2023.3264554

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Satellite Aerosol Retrieval From Multiangle Polarimetric Measurements: Information Content and Uncertainty Analysis

Journal article

Peer reviewed

Satellite Aerosol Retrieval From Multiangle Polarimetric Measurements: Information Content and Uncertainty Analysis

Wenhui Dong, Minghui Tao, Xiaoguang Xu, Jun Wang, Yi Wang, Lunche Wang, Yinyu Song, Meng Fan and Liangfu Chen

IEEE transactions on geoscience and remote sensing, Vol.61, pp.1-13

01/01/2023

DOI: 10.1109/TGRS.2023.3264554

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Abstract

The multiangle polarimetric (MAP) instruments have been a focus of recent satellite missions dedicated to enhanced detection of global aerosol microphysical properties. Considering that satellite observations can hardly infer all the unknowns of atmosphere and surface, it is crucial to know how many and which aerosol parameters can be accurately retrieved from these different MAP measurements as well as their uncertainties. In this study, we present a comprehensive insight into the information content of POLarization and Directionality of Earth Reflectance-3 (POLDER-3) and multiviewing, multichannel, multipolarization imager (3MI) observations for aerosol retrievals and estimate posterior errors of corresponding parameters based on the Bayesian theory. The total degree of freedom for signal (DFS) of aerosol retrievals is around 6–8 from POLDER-3 and is raised by [Formula Omitted]1.8–3.5 with 3MI. The retrieval accuracy of volume concentration and effective radius is high (< 4%) in the fine-dominant case for both POLDER-3 and 3MI but gets much lower ([Formula Omitted]8% and [Formula Omitted]15%) in coarse-dominant conditions. Furthermore, the advanced 3MI measurements can upgrade the retrieval uncertainties of POLDER-3 by [Formula Omitted]50%. Though additional shortwave infrared bands of 3MI provide more information regarding coarse particles, the influence of aerosols on surface bidirectional reflectance distribution function (BRDF) leads to a decrease in the total DFS. With a prior assumption that variations of refractive index depend on wavelength, satellite retrieval accuracy of the real part (MR) (< 0.03) and imaginary part (MI) (

Accuracy

Aerosols

Bayesian analysis

Bayesian theory

Bidirectional reflectance

Distribution functions

Instruments

Parameters

Polarimetry

Polders

Probability theory

Reflectance

Refractive index

Refractivity

Retrieval

Satellite observation

Satellites

Short wave radiation

Uncertainty analysis

Wavelength

Details

Title: Subtitle: Satellite Aerosol Retrieval From Multiangle Polarimetric Measurements: Information Content and Uncertainty Analysis
Creators: Wenhui Dong - China University of Geosciences
Minghui Tao - China University of Geosciences
Xiaoguang Xu - University of Maryland, Baltimore County
Jun Wang - University of Iowa
Yi Wang - China University of Geosciences
Lunche Wang - China University of Geosciences
Yinyu Song - China University of Geosciences
Meng Fan - Aerospace Information Research Institute
Liangfu Chen - State Key Laboratory of Remote Sensing Science
Resource Type: Journal article
Publication Details: IEEE transactions on geoscience and remote sensing, Vol.61, pp.1-13
DOI: 10.1109/TGRS.2023.3264554
ISSN: 0196-2892
eISSN: 1558-0644
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Grant note: DOI: 10.13039/501100001809, name: National Natural Science Foundation of China, award: 41830109, 42271382
Language: English
Date published: 01/01/2023
Academic Unit: Electrical and Computer Engineering; Civil and Environmental Engineering; Physics and Astronomy; Chemical and Biochemical Engineering
Record Identifier: 9984398211702771

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