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Updated: Jul 2, 2026

Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
Published on: May 29, 2019
Spatiotemporal associations between GOES aerosol optical depth retrievals and ground-level PM2.5
Christopher J Paciorek1, Yang Liu, Hortensia Moreno-Macias
1Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA. paciorek@alumni.cmu.edu
Aerosol optical depth (AOD) from the GOES aerosol/smoke product (GASP) shows potential as a proxy for fine particulate matter (PM2.5) in the U.S. Despite limitations, its high data density and long record offer value for exposure assessments.
Area of Science:
- Environmental Science
- Atmospheric Science
- Remote Sensing
Background:
- Fine particulate matter (PM2.5) monitoring is crucial for public health, but ground-level data is sparse.
- Satellite-derived aerosol optical depth (AOD) offers a broader spatial and temporal coverage.
- The Geostationary Aerosol/Smoke Product (GASP) provides frequent AOD retrievals.
Purpose of the Study:
- To evaluate the GOES aerosol/smoke product (GASP) AOD as a proxy for ground-level PM2.5 in the United States.
- To assess the strengths and limitations of GASP AOD compared to other satellite products.
- To determine the utility of GASP AOD for improving exposure estimates in epidemiological studies.
Main Methods:
- Correlation analysis between daily GASP AOD and ground-level PM2.5 at fixed locations over time.
- Spatial correlation analysis of GASP AOD and PM2.5 at fixed times.
- Statistical calibration applied to time-averaged data.
- Comparison of data density and temporal coverage with other satellite AOD products (MODIS, MISR).
Main Results:
- Daily correlations between GASP AOD and PM2.5 are reasonably high, particularly outside of winter and the western U.S.
- Spatial correlations are generally lower than temporal correlations.
- Statistical calibration improves correlations when averaging over time.
- GASP AOD exhibits significantly higher data density (39% of days) compared to MODIS (11%) and MISR (5%).
- GASP AOD provides a long-term data record dating back to 1994.
Conclusions:
- GASP AOD shows potential as a valuable proxy for PM2.5, especially for epidemiological studies requiring extensive data.
- Its high temporal resolution and long historical record are significant advantages over other satellite products.
- Further research and statistical calibration are recommended to optimize its use in air quality assessments.
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