Satellite Measurements of Atmospheric Aerosols

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Doc #: Title: Satellite Measurements of Atmospheric Aerosols | Document Link
Organization/Author: R. Husar
Type: Other
Year: 2009
Region:
Observation Type:
Observation Needs:
Document Status: Unsubmitted, 2009/11/00"2009/11/00" contains a sequence that could not be interpreted against an available match matrix for date components.
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Description of Document: Book chapter for Aerosol Measurement

Chapter Table of Contents: Satellite Measurements of Atmospheric Aerosols

Introduction

• Two fields not clear from the start - 2 fields are atmospheric aerosols and remote sensing
• Aerosols are described by matching models and observations - uncertainty comes from divergence between model/uncertainty
• Two fields complement each other not replace

Aerosol Physical and Optical Properties

Aerosol Dimensions

• Space
• Time
• Diameter
• Composition
• Shape
• Mixing (internal/external)

Key point is that diameter, composition, shape and mixing are all integral from satellite perspective not just height

signal at TOA is weak compared to surface reflectance

Regularities allow simplify the :

1. Multi-modal simplifies size distribution if you know mass
2. Mass median diameter increases in Urban area increases concentration. Find mass median using spectral and angular scattering.
3. For region there is a high correlation between total light scattering and mass concentration of fine particles
4. aerosol types are in layers

• P = scattering phase function = energy scattered in given direction/average energy in all directions
• aerosol types have same forward scattering, satellite measures the backscatter, therefore total scattering can be calculated and then correlated to pm2.5 conc. for a region.

Satellite Orbits

GEO - Geostationary orbits; 36,000 km up. high temporal res, low spatial res Polar orbit - low temporal (pass 1x a day); high spatial res

Principles of Satellite Aerosol Detection

Two competing effects of aerosols are that the light scattering particles tend to add reflectance to the surface brightness and at the same time they act as a filter which exponentially diminishes the total upwelling radiation

The ratio P/R0 determines whether aerosols will increase or decrease the apparent reflectance

• R0=Surface reflectance function

AOT retrieval is not possible either when aerosol system reaches radiative equilibrium or when Phase function approximately matches surface reflectance function(which occur over bright surfaces)

Challenges of Satellite Aerosol Remote Sensing

• Clouds obscure the detection of both underlying surface and atmospheric aerosols. Cloud shadows also can complicate aerosol retrieval.

• Sensors has to work in transmission windows to avoid the influence of molecular absorption on aerosol retrieval

• Uncertainties in Bidirectional Diffuse Reflectance Function (BDRF)cause uncertainties in retrievals