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.
Research article
| 
18 Oct 2019
Research article |
| 18 Oct 2019
| 18 Oct 2019
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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- ESA-ECMWF Report on recent progress and research directions in machine learning for Earth System observation and prediction R. Schneider et al. 10.1038/s41612-022-00269-z
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- A satellite chronology of plumes from the April 2021 eruption of La Soufrière, St Vincent I. Taylor et al. 10.5194/acp-23-15209-2023
- 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
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- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. 10.5194/acp-22-6115-2022
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- Linking ground-based data and satellite monitoring to understand the last two decades of eruptive activity at Sangay volcano, Ecuador F. Vasconez et al. 10.1007/s00445-022-01560-w
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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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- An Overview of Neural Network Methods for Predicting Uncertainty in Atmospheric Remote Sensing A. Doicu et al. 10.3390/rs13245061
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- 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
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52 citations as recorded by crossref.
- Investigating a Persistent Stratospheric Aerosol Layer Observed over Southern Europe during 2019 K. Voudouri et al. 10.3390/rs15225394
- Monitoring Volcanic Plumes and Clouds Using Remote Sensing: A Systematic Review R. Mota et al. 10.3390/rs16101789
- Evaluating the assimilation of S5P/TROPOMI near real-time SO<sub>2</sub> columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption A. Inness et al. 10.5194/gmd-15-971-2022
- The 2019 Raikoke volcanic eruption – Part 1: Dispersion model simulations and satellite retrievals of volcanic sulfur dioxide J. de Leeuw et al. 10.5194/acp-21-10851-2021
- Long-range transport of sulfur dioxide emissions from external sources to Tehran R. Khuzestani et al. 10.1016/j.uclim.2023.101445
- Anthropogenic and volcanic point source SO<sub>2</sub> emissions derived from TROPOMI on board Sentinel-5 Precursor: first results V. Fioletov et al. 10.5194/acp-20-5591-2020
- ESA-ECMWF Report on recent progress and research directions in machine learning for Earth System observation and prediction R. Schneider et al. 10.1038/s41612-022-00269-z
- Improved retrieval of SO2 plume height from TROPOMI using an iterative Covariance-Based Retrieval Algorithm N. Theys et al. 10.5194/amt-15-4801-2022
- A satellite chronology of plumes from the April 2021 eruption of La Soufrière, St Vincent I. Taylor et al. 10.5194/acp-23-15209-2023
- 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
- Spectral replacement using machine learning methods for continuous mapping of the Geostationary Environment Monitoring Spectrometer (GEMS) Y. Lee et al. 10.5194/amt-16-153-2023
- Impact of SO2 Flux Estimation in the Modeling of the Plume of Mount Etna Christmas 2018 Eruption and Comparison against Multiple Satellite Sensors C. Lamotte et al. 10.3390/rs15030758
- Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements D. Loyola et al. 10.5194/amt-13-985-2020
- Examining land surface temperature and relations with the major air pollutants: A remote sensing research in case of Tehran K. Fuladlu & H. Altan 10.1016/j.uclim.2021.100958
- A Review of Dimensionality Reduction Techniques for Processing Hyper-Spectral Optical Signal A. del Águila et al. 10.33383/2019-017
- The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development D. Piontek et al. 10.3390/rs13163112
- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. 10.5194/acp-22-6115-2022
- A Neural Network-Based Approach for Real-Time Measurement of the Concentration of Gaseous Pollutants in Tehran Using MODIS M. Saleh et al. 10.61186/jgit.11.4.55
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra T. Knepp et al. 10.5194/amt-15-5235-2022
- Unexpected self-lofting and dynamical confinement of volcanic plumes: the Raikoke 2019 case S. Khaykin et al. 10.1038/s41598-022-27021-0
- Enhanced sulfur in the upper troposphere and lower stratosphere in spring 2020 L. Tomsche et al. 10.5194/acp-22-15135-2022
- Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India B. Tyagi et al. 10.1016/j.envpol.2020.116354
- Discrete Ordinate Adding Method (DOAM), a new solver for Advanced Radiative transfer Modeling System (ARMS) Y. Shi et al. 10.1364/OE.417153
- Linking ground-based data and satellite monitoring to understand the last two decades of eruptive activity at Sangay volcano, Ecuador F. Vasconez et al. 10.1007/s00445-022-01560-w
- TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. 10.1016/j.scitotenv.2022.153232
- Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
- SO 2 emissions during the 2021 eruption of La Soufrière, St Vincent, revealed with back-trajectory analysis of TROPOMI imagery B. Esse et al. 10.1144/SP539-2022-77
- Two Machine Learning Based Schemes for Solving Direct and Inverse Problems of Radiative Transfer Theory D. Efremenko et al. 10.51130/graphicon-2020-2-3-45
- A feasibility study to use machine learning as an inversion algorithm for aerosol profile and property retrieval from multi-axis differential absorption spectroscopy measurements Y. Dong et al. 10.5194/amt-13-5537-2020
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- 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
- Volcanic SO<sub>2</sub> effective layer height retrieval for the Ozone Monitoring Instrument (OMI) using a machine-learning approach N. Fedkin et al. 10.5194/amt-14-3673-2021
- Probabilistic retrieval of volcanic SO<sub>2</sub> layer height and partial column density using the Cross-track Infrared Sounder (CrIS) D. Hyman & M. Pavolonis 10.5194/amt-13-5891-2020
- Volcanic SO<sub>2</sub> layer height by TROPOMI/S5P: evaluation against IASI/MetOp and CALIOP/CALIPSO observations M. Koukouli et al. 10.5194/acp-22-5665-2022
- Global Observations of Tropospheric Bromine Monoxide (BrO) Columns From TROPOMI Y. Chen et al. 10.1029/2023JD039091
- Tracking aerosols and SO<sub>2</sub> clouds from the Raikoke eruption: 3D view from satellite observations N. Gorkavyi et al. 10.5194/amt-14-7545-2021
- 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. 10.1016/j.scitotenv.2022.155512
- EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds H. Brenot et al. 10.5194/nhess-21-3367-2021
- Including ash in UKESM1 model simulations of the Raikoke volcanic eruption reveals improved agreement with observations A. Wells et al. 10.5194/acp-23-3985-2023
- 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: 23 Nov 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...
