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Article

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

1
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China
2
Center for Environmental Measurement and Analysis, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
3
Beijing Jinghang Tianli Technology Co., Ltd., Beijing 100000, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(10), 1491; https://doi.org/10.3390/rs18101491
Submission received: 5 April 2026 / Revised: 7 May 2026 / Accepted: 8 May 2026 / Published: 9 May 2026

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.
Keywords: spaceborne lidar; High-Spectral-Resolution Lidar; DQ-1 satellite; ACDL; AD-Net; aerosol profile; validation; sea–land junction; wind field; particle microphysics spaceborne lidar; High-Spectral-Resolution Lidar; DQ-1 satellite; ACDL; AD-Net; aerosol profile; validation; sea–land junction; wind field; particle microphysics

Share and Cite

MDPI and ACS Style

Zhang, S.; Müller, D.; Shimizu, A.; Nishizawa, T.; Jin, Y.; Zhang, F.; Wang, X. Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones. Remote Sens. 2026, 18, 1491. https://doi.org/10.3390/rs18101491

AMA Style

Zhang S, Müller D, Shimizu A, Nishizawa T, Jin Y, Zhang F, Wang X. Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones. Remote Sensing. 2026; 18(10):1491. https://doi.org/10.3390/rs18101491

Chicago/Turabian Style

Zhang, Shuang, Detlef Müller, Atsushi Shimizu, Tomoaki Nishizawa, Yoshitaka Jin, Fa Zhang, and Xuan Wang. 2026. "Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones" Remote Sensing 18, no. 10: 1491. https://doi.org/10.3390/rs18101491

APA Style

Zhang, S., Müller, D., Shimizu, A., Nishizawa, T., Jin, Y., Zhang, F., & Wang, X. (2026). Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones. Remote Sensing, 18(10), 1491. https://doi.org/10.3390/rs18101491

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