Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones

Accurate validation of spaceborne lidar data is fundamental for reliable quantification of aerosol vertical distributions, which strongly influence air quality and climate effects. This study presents a comparative analysis of aerosol profiles from the 532 nm High-Spectral-Resolution Lidar (HSRL) onboard China’s DQ-1 satellite (ACDL) and ground-based observations from the Asian Dust and Aerosol Lidar Observation Network (AD-Net). Using one year of measurements under minimized spatiotemporal mismatches at three representative coastal stations (Matsue, Tokyo, Hedo), we quantify the sources of observational differences. Results show that discrepancies in detection targets (aerosols/clouds) dominate the total variance (>75%), while instrumental differences contribute 10–25%. Horizontal wind speed, particularly its north–south component, correlates more strongly with discrepancies than vertical wind speed, except in high-concentration aerosol layers where vertical motions become influential. Furthermore, larger differences are associated with increased aerosol extinction coefficients (α) and particle depolarization ratios (δ). This work demonstrates that integrated applications of multi-platform lidar data must account for both meteorological controls on aerosol transport and particle microphysical properties. These findings provide a quantitative validation framework for current and future spaceborne HSRL missions and support the integrated application of multi-platform lidar observations in regional aerosol monitoring, air quality assessment, and climate effect research.

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Publication Details

Journal
Remote Sensing
Published
2026-05-09
DOI
https://doi.org/10.3390/rs18101491
Primary Topic
Atmospheric aerosols and clouds
Type
article
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article

Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones

Xicheng Zhang, Tomoaki Nishizawa, Atsushi Shimizu, Yoshitaka Jin et al.
Remote Sensing
Atmospheric aerosols and clouds
article

Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones

Xicheng Zhang, Tomoaki Nishizawa, Atsushi Shimizu, Yoshitaka Jin, Fa Zhang, Xuan Wang, Detlef Müller
article en

Abstract

Accurate validation of spaceborne lidar data is fundamental for reliable quantification of aerosol vertical distributions, which strongly influence air quality and climate effects. This study presents a comparative analysis of aerosol profiles from the 532 nm High-Spectral-Resolution Lidar (HSRL) onboard China’s DQ-1 satellite (ACDL) and ground-based observations from the Asian Dust and Aerosol Lidar Observation Network (AD-Net). Using one year of measurements under minimized spatiotemporal mismatches at three representative coastal stations (Matsue, Tokyo, Hedo), we quantify the sources of observational differences. Results show that discrepancies in detection targets (aerosols/clouds) dominate the total variance (>75%), while instrumental differences contribute 10–25%. Horizontal wind speed, particularly its north–south component, correlates more strongly with discrepancies than vertical wind speed, except in high-concentration aerosol layers where vertical motions become influential. Furthermore, larger differences are associated with increased aerosol extinction coefficients (α) and particle depolarization ratios (δ). This work demonstrates that integrated applications of multi-platform lidar data must account for both meteorological controls on aerosol transport and particle microphysical properties. These findings provide a quantitative validation framework for current and future spaceborne HSRL missions and support the integrated application of multi-platform lidar observations in regional aerosol monitoring, air quality assessment, and climate effect research.

Remote SensingVol. 18(10)
National Institute for Environmental Studies (JP), Wuhan University (CN), Tiande (China) (CN)
Climate action
Openalex Percentile: Top 4%
Atmospheric aerosols and clouds
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