Advances in Earth Science ›› 2024, Vol. 39 ›› Issue (1): 56-70. doi: 10.11867/j.issn.1001-8166.2024.002
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Jian XU 1( ), Zhuo ZHANG 1, Lanlan RAO 1, Yapeng WANG 2, Huanhuan YAN 2, LETU HUSI 3, Chong SHI 3, Song LIU 4, TANA GEGEN 1( ), Wenyu WANG 1, Entao SHI 1, Shun YAO 5, Jun ZHU 5, Yongmei WANG 1, Xiaolong DONG 1, Jiancheng SHI 1
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Jian XU, Zhuo ZHANG, Lanlan RAO, Yapeng WANG, Huanhuan YAN, LETU HUSI, Chong SHI, Song LIU, TANA GEGEN, Wenyu WANG, Entao SHI, Shun YAO, Jun ZHU, Yongmei WANG, Xiaolong DONG, Jiancheng SHI. Tropospheric Ozone Retrieval from Satellite Remote Sensing—A Review[J]. Advances in Earth Science, 2024, 39(1): 56-70.
Ozone is among the most important trace gases in Earth’s atmosphere and plays a crucial role in both climate change and ecology. Tropospheric ozone is an important component of photochemical smog, and its variations are closely related to human activity. Monitoring of tropospheric ozone based on satellite remote sensing can help us better understand and quantitatively explain the characteristics of tropospheric ozone changes in different seasons, times, and regions, and explore the mechanism of ozone generation in the troposphere. With the comprehensive development of satellite remote sensing techniques, ozone remote sensing products (e.g., total ozone, profiles, etc.) have improved significantly in terms of accuracy and spatiotemporal resolution. However, the accuracy of tropospheric ozone products is still not sufficient for the current scientific application of the atmospheric composition of the troposphere due to the weak satellite signals and complexity of the subsurface. This review focuses on satellite remote sensing of tropospheric ozone. It outlines and analyzes the development history and current status of ozone satellite remote sensing payloads and discusses the characteristics and applicability of remote sensing retrieval algorithms based on different technologies (direct and indirect retrieval, multiband joint retrieval, collaborated nadir-limb retrieval, and innovative algorithms based on machine learning techniques). It further discusses the application of satellite remote sensing for the provision of reliable tropospheric ozone observation data at the global and regional scales. Overall, this review envisions the application of satellite remote sensing for providing reliable tropospheric ozone observations at the global and regional scales.