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Spectral and Spatial Dependencies in the Validation of Satellite-Based Aerosol Optical Depth from the Geostationary Ocean Color Imager Using the Aerosol Robotic NetworkThe regional and global scale of aerosols in the atmosphere can be quantified using the aerosol optical depth (AOD) retrieved from satellite observations. To obtain reliable satellite AODs, conducting consistent validations and refining retrieval algorithms are crucial. AODs and Ångström exponents (AEs) measured with the aerosol robotic network (AERONET) are considered as the ground truth for satellite validations. AERONET AEs are used to collocate the wavelength of the AERONET AODs to those of the satellite AODs when there is a discordancy in their wavelengths. However, numerous validation studies have proposed different strategies by applying the AERONET AODs and AEs, and spatiotemporal collocation criteria. This study examined the impact of the wavelength and spatial collocation radius variations by comparing AODs at 550 nm derived from the geostationary ocean color imager (GOCI) with those obtained from the AERONET for the year 2016. The estimated AERONET AODs at 550 nm varied from 5.18% to 11.73% depending on the selection of AOD and AE, and the spatial collocation radii from 0 to 40 km, respectively. The longer the collocation radius and the higher the AODs, the greater the variability observed in the validation results. Overall, the selection of the spatial collocation radius had a stronger impact on the variability in the validation results obtained compared to the selection of the wavelength. The variability was also found in seasonal analysis. Therefore, it is recommended to carefully select the data wavelength and spatial collocation radius, consider seasonal effects, and provide this information when validating satellite AODs using AERONET.
Document ID
20240006680
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Mijeong Kim ORCID
(National Institute of Environmental Research Incheon, South Korea)
Kyunghwa Lee ORCID
(National Institute of Environmental Research Incheon, South Korea)
Myungje Choi ORCID
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Date Acquired
May 22, 2024
Publication Date
July 30, 2023
Publication Information
Publication: Remote Sensing
Publisher: MDPI
Volume: 15
Issue: 14
Issue Publication Date: July 2, 2023
e-ISSN: 2072-4292
URL: https://www.mdpi.com/journal/remotesensing
Subject Category
Geosciences (General)
Funding Number(s)
CONTRACT_GRANT: 80NSSC22M0001
OTHER: NIER-2023-01-01-023
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
GOCI
AOD
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