Articles | Volume 12, issue 10
https://doi.org/10.5194/amt-12-5503-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-5503-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Sulfur dioxide layer height retrieval from Sentinel-5 Precursor/TROPOMI using FP_ILM
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Dmitry S. Efremenko
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Diego G. Loyola
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Robert Spurr
RT Solutions Inc., Cambridge, MA, USA
Lieven Clarisse
Université libre de Bruxelles (ULB), Service de Chimie Quantique et Photophysique, Atmospheric Spectroscopy, Brussels, Belgium
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- Volcanic event management in the Galápagos Islands, Ecuador B. Bernard et al. 10.30909/vol.05.01.209225
- Analysis of properties of the 19 February 2018 volcanic eruption of Mount Sinabung in S5P/TROPOMI and Himawari-8 satellite data A. de Laat et al. 10.5194/nhess-20-1203-2020
- Retrieval of Volcanic Sulfate Aerosols Optical Parameters from AHI Radiometer Data A. Filei et al. 10.1007/s00376-024-3105-2
- The Raikoke Volcanic Massif, Kuril Island Arc Y. Blokh et al. 10.1134/S0742046321030027
- Automatic retrieval of volcanic SO2 emission source from TROPOMI products B. Markus et al. 10.3389/feart.2022.1064171
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- The 2019 Raikoke eruption as a testbed used by the Volcano Response group for rapid assessment of volcanic atmospheric impacts J. Vernier et al. 10.5194/acp-24-5765-2024
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- Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining S. Schmidt et al. 10.1016/j.scitotenv.2022.155512
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- Stratospheric aerosol layer perturbation caused by the 2019 Raikoke and Ulawun eruptions and their radiative forcing C. Kloss et al. 10.5194/acp-21-535-2021
- An Overview of Neural Network Methods for Predicting Uncertainty in Atmospheric Remote Sensing A. Doicu et al. 10.3390/rs13245061
- Exploiting Sentinel-5P TROPOMI and Ground Sensor Data for the Detection of Volcanic SO2 Plumes and Activity in 2018–2021 at Stromboli, Italy A. Cofano et al. 10.3390/s21216991
- Improved estimation of volcanic SO<sub>2</sub> injections from satellite retrievals and Lagrangian transport simulations: the 2019 Raikoke eruption Z. Cai et al. 10.5194/acp-22-6787-2022
- Measurement Report: Lidar measurements of stratospheric aerosol following the 2019 Raikoke and Ulawun volcanic eruptions G. Vaughan et al. 10.5194/acp-21-5597-2021
- Greenwashing in the US Metal Industry? A Novel Approach Combining SO2 Concentrations From Satellite Data, a Plant-Level Firm Database and Web Text Mining S. Schmidt et al. 10.2139/ssrn.4049830
- Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations J. Brence et al. 10.1007/s10994-022-06155-2
- A new machine-learning-based analysis for improving satellite-retrieved atmospheric composition data: OMI SO2 as an example C. Li et al. 10.5194/amt-15-5497-2022
Latest update: 13 Oct 2024
Short summary
Sulfur dioxide (SO2) emitted during volcanic eruptions poses not only a major threat to local populations, air quality, and aviation but also has an impact on the climate. The satellite-based detection of the SO2 plume is easy; however, it requires exact knowledge of the SO2 layer height. This paper presents a new method for the extremely fast and accurate determination of the layer height, which is essential in volcanic plume forecasts and the exact determination of the SO2 density.
Sulfur dioxide (SO2) emitted during volcanic eruptions poses not only a major threat to local...