Prediction of Tropospheric NO<sub>2</sub> Profile Using CNN-SVR-Based MAX-DOAS

Yifeng Pan; Xin Tian; Pinhua Xie; Ang Li; Jin Xu; Bo Ren; Xiaohui Huang; Wei Tian; Zijie Wang

doi:10.3788/AOS202242.2401001

Acta Optica Sinica, Volume. 42, Issue 24, 2401001(2022)

Prediction of Tropospheric NO₂ Profile Using CNN-SVR-Based MAX-DOAS

Yifeng Pan¹, Xin Tian^1,2, Pinhua Xie^2,3,4、*, Ang Li², Jin Xu², Bo Ren^2,4, Xiaohui Huang¹, Wei Tian¹, and Zijie Wang¹

¹Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, Anhui , China

²Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, Anhui , China

³CAS Center for Excellence in Regional Atmospheric Environment, Xiamen 361021, Fujian , China

⁴School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, Anhui , China

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Yifeng Pan, Xin Tian, Pinhua Xie, Ang Li, Jin Xu, Bo Ren, Xiaohui Huang, Wei Tian, Zijie Wang. Prediction of Tropospheric NO₂ Profile Using CNN-SVR-Based MAX-DOAS[J]. Acta Optica Sinica, 2022, 42(24): 2401001

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Paper Information

Category: Atmospheric Optics and Oceanic Optics

Received: Mar. 10, 2022

Accepted: May. 5, 2022

Published Online: Dec. 14, 2022

The Author Email: Xie Pinhua (phxie@aiofm.ac.cn)

DOI:10.3788/AOS202242.2401001

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