Pattern of volcanic degassing at open-vent volcanoes using TROPOMI SO2 time-series from COBRA retrievals

crossref(2023)

引用 0|浏览1
暂无评分
摘要
<p>Sensitive and accurate detection of SO<sub>2</sub> from remote sensing is essential to monitor volcanic degassing. The main objective of this study is to understand the dynamics of SO<sub>2</sub> gas emissions at open-vent volcanoes between major eruptive events, using Sentinel-5P TROPOMI-based SO<sub>2</sub> measurements.</p> <p>Time-series of SO<sub>2</sub> mass are analysed at 10 open-vent volcanoes (Ambrym, Erebus, Erta Ale, Kilauea, Masaya, Nyamuragira, Nyiragongo, Stromboli, Villarica, Yasur) using a newly developed TROPOMI SO<sub>2</sub> product generated by the Covariance Based Retrieval Algorithm (COBRA; Theys et al., 2021). Compared to the current operational SO<sub>2</sub> TROPOMI product (which uses the Differential Optical Absorption Spectroscopy technique), the COBRA dataset has improved performances and reduce both the noise and bias on the data, allowing a more refined study of degassing from open-vent volcanoes.</p> <p>Time-series have been obtained for SO<sub>2 </sub>emissions over a period from 2018 to early 2023. For the 10 selected persistently active volcanoes, the SO<sub>2 </sub>behaviours are analysed and compared, showing cyclic and sporadic variations, as well as peaks of emission when a flank or major eruption occur. Patterns in SO<sub>2</sub> time-series during and between major eruptive events are discussed to assess the potential use (and limitations) of these measurements as a tool for early warning and volcanic crisis management.</p> <p>Reference:</p> <p>Theys, N., Fioletov, V., Li, C., De Smedt, I., Lerot, C., McLinden, C., Krotkov, N., Griffin, D., Clarisse, L., Hedelt, P., Loyola, D., Wagner, T., Kumar, V., Innes, A., Ribas, R., Hendrick, F., Vlietinck, J., Brenot, H., Van Roozendael, M. (2021). A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources. <em>Atmospheric Chemistry and Physics</em>, <em>21</em>(22), 16727-16744.</p>
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要