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Updated: Aug 19, 2025

Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
Published on: May 29, 2019
Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing
Cheng Chen1,2, Oleg Dubovik3, Gregory L Schuster4
1Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d'Optique Atmosphérique, F-59000, Lille, France. cheng.chen@grasp-sas.com.
Accurate atmospheric aerosol absorption estimates are crucial for climate modeling. Multi-angular polarimeters improve global aerosol absorption optical depth (AAOD) and black carbon radiative forcing (BC DRF) assessments, reducing uncertainty.
Area of Science:
- Atmospheric Science
- Climate Science
- Remote Sensing
Background:
- Quantitative estimations of atmospheric aerosol absorption are uncertain due to limited global distribution data.
- Satellite sensors often lack sensitivity to aerosol absorption, contributing to large uncertainties in climate forcing assessments (IPCC AR5 and AR6).
Purpose of the Study:
- To utilize multi-angular polarimeters (MAP) for improved constraints on absorbing aerosol emissions.
- To estimate global aerosol absorption optical depth (AAOD) and its climate effect with greater accuracy.
Main Methods:
- Employing multi-angular polarimeters (MAP) to gather aerosol property data.
- Analyzing MAP data to constrain emission of absorbing aerosol species.
- Calculating global AAOD and black carbon direct radiative forcing (BC DRF).
Main Results:
- The estimated modern-era mid-visible AAOD is 0.0070, exceeding IPCC estimates by 1.3-1.8 times.
- The calculated black carbon instantaneous direct radiative forcing (BC DRF) is +0.33 W/m².
- MAP data reduced the 95% confidence interval of BC DRF by a factor of 2, enhancing spatial distribution confidence.
Conclusions:
- MAP instruments provide crucial data for reducing uncertainties in atmospheric aerosol absorption.
- This study offers a more reliable estimate of AAOD and BC DRF, improving climate forcing assessments.
- Enhanced confidence in aerosol radiative forcing is achieved through MAP-based constraints.
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