Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 11
Articles | Volume 18, issue 11
https://doi.org/10.5194/amt-18-2333-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-2333-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 11
Research article
 | 
03 Jun 2025
Research article |  | 03 Jun 2025

A channel selection methodology for enhancing volcanic SO2 monitoring using FY-3E/HIRAS-II hyperspectral data

Xinyu Li, Lin Zhu, Hongfu Sun, Jun Li, Ximing Lv, Chengli Qi, and Huanhuan Yan

Data sets

Atmosphere profile data Li Xinyu https://doi.org/10.5281/zenodo.14174378

AER Line File Parameters (v3.8.2) K. Cady-Pereira et al. https://doi.org/10.5281/zenodo.7853414

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

TROPOMI Level 2 Sulphur Dioxide Total Column, Version 02 Copernicus Sentinel-5P https://doi.org/10.5270/S5P-74eidii

Model code and software

Line-By-Line Radiative Transfer Model S. A. Clough https://github.com/AER-RC/LBLRTM

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Short summary
This paper proposes a novel methodology for selecting sulfur-dioxide-sensitive channels from FY-3E/HIRAS-II hyperspectral IR atmospheric sensors to quantitatively monitor volcanic sulfur dioxide. This methodology considers the interference of atmospheric temperature, humidity, and surface temperature with sulfur dioxide detection and retrieval, laying the groundwork for developing a more accurate and flexible volcanic sulfur dioxide retrieval algorithm under different atmospheric conditions.
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