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Remote Sensing of Atmospheric Aerosol Composition and Species
Author(s): Zhengqiang Li; Yisong Xie; Ying Zhang; Lei Li
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Book Description

This Spotlight presents the state-of-the-art of aerosol remote sensing, including remote sensing principles and satellite- and ground-based approaches. The mechanism and theories are introduced along with the component mixing rules, e.g., Maxwell-Garnett, Bruggeman, and volume-weighted average approaches. Recent advances in aerosol-component methods are discussed, focusing on composition schemes, inversion methods, and validation results. The final section looks at the remote sensing applications of atmospheric aerosol composition and species.

Book Details

Date Published: 15 June 2019
Pages: 54
ISBN:
Volume: SL50

Table of Contents
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1 Introduction
1.1 Background
1.2 Principles
1.3 Historic perspective and recent advancement

2 Mechanism of Aerosol-Composition Remote Sensing
2.1 Optical absorbing components
     2.1.1 Black carbon
     2.1.2 Brown carbon
     2.1.3 Dust
2.2 Optical scattering components
     2.2.1 Inorganic salt
     2.2.2 Organic matters
     2.2.3 Sea salt
     2.2.4 Water uptake
2.3 Mixing rules
     2.3.1 Internal mixing
     2.3.2 External mixing
2.4 Aerosol-composition model

3 Methodology of Aerosol-Composition Remote Sensing
3.1 Retrieval theory
3.2 Forward modeling
     3.2.1 Complex refractive index
     3.2.2 Single-scattering albedo
     3.2.3 Volume size distribution
     3.2.4 Hygroscopic growth
3.3 Retrieval scheme

4 Applications
4.1 Inter-comparison with in situ measurements
     4.1.1 Urban region
     4.1.2 Rural region
     4.1.3 Heavy haze pollution
4.2 Ground-based remote sensing
     4.2.1 Long-term observation
     4.2.2 Regional distribution
     4.2.3 Global diversity
4.3 Satellite remote sensing
     4.3.1 MISR sensor
     4.3.2 POLDER sensor
     4.3.3 Other satellite sensors

Preface

The composition and component species of aerosols determine their physical, chemical, and optical properties, as well as their influences on many aspects of Earth's systems, including climate change, environmental pollution, ecological impact, and material transmission. Among several methods for measuring atmospheric aerosol components, aerosol remote sensing not only can obtain proportions and concentrations of aerosol components with global and regional coverage but also has a number of typical advantages, including non-destructive, instantaneous, and entirely columnar atmospheric characterization capabilities. In the past 10 years, aerosol-composition remote sensing has developed rapidly and has been applied to many hot topics of earth sciences, such as verification of atmospheric chemistry models, earth material transmission, and source apportionment of air pollutants.

This Spotlight presents the status and advances of the aerosol-composition inversion methods, which are developed on the basis of aerosol optical remote sensing. Aerosol-composition remote sensing employs aerosol optical and microphysical parameters, which are derived from radiation observations as input, and rely on the mechanisms of light absorption and scattering of individual components, as well as mixing models, which are the basis of a proper aerosol composition remote sensing model. The optimal estimation of aerosol components can then be established, which is a combination of the forward model and the inversion scheme. Such an aerosol composition inversion has been applied to both ground-based and satellite platforms, as well as comparisons with in situ measurements in urban, rural, and polluted areas to obtain the spatial and temporal distributions of aerosol components in the long-term and entire-column scales with regional and global coverage.

Zhengqiang Li
Yisong Xie
Ying Zhang
Lei Li
April 2019


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