Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations
We developed a new retrieval algorithm based on the Infrared Atmospheric Sounding Interferometer (IASI) observations, called AEROIASI-H2SO4, to measure the extinction and mass concentration of sulphate aerosols (binary solution droplets of sulphuric acid and water), with moderate random uncertaintie...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/9/1808 |
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Article |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Henda Guermazi Pasquale Sellitto Juan Cuesta Maxim Eremenko Mathieu Lachatre Sylvain Mailler Elisa Carboni Giuseppe Salerno Tommaso Caltabiano Laurent Menut Mohamed Moncef Serbaji Farhat Rekhiss Bernard Legras |
| spellingShingle |
Henda Guermazi Pasquale Sellitto Juan Cuesta Maxim Eremenko Mathieu Lachatre Sylvain Mailler Elisa Carboni Giuseppe Salerno Tommaso Caltabiano Laurent Menut Mohamed Moncef Serbaji Farhat Rekhiss Bernard Legras Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations Remote Sensing volcanic plumes IASI sulphate aerosols inverse problems in Earth observations |
| author_facet |
Henda Guermazi Pasquale Sellitto Juan Cuesta Maxim Eremenko Mathieu Lachatre Sylvain Mailler Elisa Carboni Giuseppe Salerno Tommaso Caltabiano Laurent Menut Mohamed Moncef Serbaji Farhat Rekhiss Bernard Legras |
| author_sort |
Henda Guermazi |
| title |
Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations |
| title_short |
Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations |
| title_full |
Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations |
| title_fullStr |
Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations |
| title_full_unstemmed |
Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations |
| title_sort |
quantitative retrieval of volcanic sulphate aerosols from iasi observations |
| publisher |
MDPI AG |
| series |
Remote Sensing |
| issn |
2072-4292 |
| publishDate |
2021-05-01 |
| description |
We developed a new retrieval algorithm based on the Infrared Atmospheric Sounding Interferometer (IASI) observations, called AEROIASI-H2SO4, to measure the extinction and mass concentration of sulphate aerosols (binary solution droplets of sulphuric acid and water), with moderate random uncertainties (typically ∼35% total uncertainty for column mass concentration estimations). The algorithm is based on a self-adapting Tikhonov–Phillips regularization method. It is here tested over a moderate-intensity eruption of Mount Etna volcano (18 March 2012), Italy, and is used to characterise this event in terms of the spatial distribution of the retrieved plume. Comparisons with simultaneous and independent aerosol optical depth observations from MODIS (Moderate Resolution Imaging Spectroradiometer), SO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> plume observations from IASI and simulations with the CHIMERE chemistry/transport model show that AEROIASI-H2SO4 correctly identifies the volcanic plume horizontal morphology, thus providing crucial new information towards the study of volcanic emissions, volcanic sulphur cycle in the atmosphere, plume evolution processes, and their impacts. Insights are given on the possible spectroscopic evidence of the presence in the plume of larger-sized particles than previously reported for secondary sulphate aerosols from volcanic eruptions. |
| topic |
volcanic plumes IASI sulphate aerosols inverse problems in Earth observations |
| url |
https://www.mdpi.com/2072-4292/13/9/1808 |
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AT hendaguermazi quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT pasqualesellitto quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT juancuesta quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT maximeremenko quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT mathieulachatre quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT sylvainmailler quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT elisacarboni quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT giuseppesalerno quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT tommasocaltabiano quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT laurentmenut quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT mohamedmoncefserbaji quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT farhatrekhiss quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations AT bernardlegras quantitativeretrievalofvolcanicsulphateaerosolsfromiasiobservations |
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doaj-0d8f1dfb16424d2c82db74db6606838a2021-05-31T23:20:03ZengMDPI AGRemote Sensing2072-42922021-05-01131808180810.3390/rs13091808Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI ObservationsHenda Guermazi0Pasquale Sellitto1Juan Cuesta2Maxim Eremenko3Mathieu Lachatre4Sylvain Mailler5Elisa Carboni6Giuseppe Salerno7Tommaso Caltabiano8Laurent Menut9Mohamed Moncef Serbaji10Farhat Rekhiss11Bernard Legras12Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR CNRS 7583, Institut Pierre Simon Laplace (IPSL), Université Paris-Est-Créteil, Université de Paris, 94000 Créteil, FranceLaboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR CNRS 7583, Institut Pierre Simon Laplace (IPSL), Université Paris-Est-Créteil, Université de Paris, 94000 Créteil, FranceLaboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR CNRS 7583, Institut Pierre Simon Laplace (IPSL), Université Paris-Est-Créteil, Université de Paris, 94000 Créteil, FranceLaboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR CNRS 7583, Institut Pierre Simon Laplace (IPSL), Université Paris-Est-Créteil, Université de Paris, 94000 Créteil, FranceLaboratoire de Météorologie Dynamique (LMD), UMR CNRS 8539, Ecole Polytechnique, Institut Pierre Simon Laplace, Ecole Normale Supérieure, Université Paris-Saclay, Sorbonne Universités, Route de Saclay, 91128 Palaiseau, FranceLaboratoire de Météorologie Dynamique (LMD), UMR CNRS 8539, Ecole Polytechnique, Institut Pierre Simon Laplace, Ecole Normale Supérieure, Université Paris-Saclay, Sorbonne Universités, Route de Saclay, 91128 Palaiseau, FranceCOMET, Atmospheric, Oceanic and Planetary Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UKIstituto Nazionale di Geofisica e Vulcanologia (INGV), OE, 95123 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia (INGV), OE, 95123 Catania, ItalyLaboratoire de Météorologie Dynamique (LMD), UMR CNRS 8539, Ecole Polytechnique, Institut Pierre Simon Laplace, Ecole Normale Supérieure, Université Paris-Saclay, Sorbonne Universités, Route de Saclay, 91128 Palaiseau, FranceNational School of Engineers of Sfax, Water, Energy and Environment Laboratory L3E, University of Sfax, B.P 1173, 3021 Sfax, TunisiaNational School of Engineers of Sfax, Water, Energy and Environment Laboratory L3E, University of Sfax, B.P 1173, 3021 Sfax, TunisiaLaboratoire de Météorologie Dynamique (LMD), UMR CNRS 8539, Ecole Polytechnique, Institut Pierre Simon Laplace, Ecole Normale Supérieure, Université Paris-Saclay, Sorbonne Universités, Route de Saclay, 91128 Palaiseau, FranceWe developed a new retrieval algorithm based on the Infrared Atmospheric Sounding Interferometer (IASI) observations, called AEROIASI-H2SO4, to measure the extinction and mass concentration of sulphate aerosols (binary solution droplets of sulphuric acid and water), with moderate random uncertainties (typically ∼35% total uncertainty for column mass concentration estimations). The algorithm is based on a self-adapting Tikhonov–Phillips regularization method. It is here tested over a moderate-intensity eruption of Mount Etna volcano (18 March 2012), Italy, and is used to characterise this event in terms of the spatial distribution of the retrieved plume. Comparisons with simultaneous and independent aerosol optical depth observations from MODIS (Moderate Resolution Imaging Spectroradiometer), SO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> plume observations from IASI and simulations with the CHIMERE chemistry/transport model show that AEROIASI-H2SO4 correctly identifies the volcanic plume horizontal morphology, thus providing crucial new information towards the study of volcanic emissions, volcanic sulphur cycle in the atmosphere, plume evolution processes, and their impacts. Insights are given on the possible spectroscopic evidence of the presence in the plume of larger-sized particles than previously reported for secondary sulphate aerosols from volcanic eruptions.https://www.mdpi.com/2072-4292/13/9/1808volcanic plumesIASIsulphate aerosolsinverse problems in Earth observations |