NDLI: Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations

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Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations

Content Provider	MDPI
Author	Guermazi, Henda Sellitto, Pasquale Cuesta, Juan Eremenko, Maxim Lachatre, Mathieu Mailler, Sylvain Carboni, Elisa Salerno, Giuseppe Caltabiano, Tommaso Menut, Laurent Serbaji, Mohamed Rekhiss, Farhat Legras, Bernard
Copyright Year	2021
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 $2$ 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.
Starting Page	1808
e-ISSN	20724292
DOI	10.3390/rs13091808
Journal	Remote Sensing
Issue Number	9
Volume Number	13
Language	English
Publisher	MDPI
Publisher Date	2021-05-06
Access Restriction	Open
Subject Keyword	Remote Sensing Volcanic Plumes Iasi Sulphate Aerosols Inverse Problems in Earth Observations
Content Type	Text
Resource Type	Article

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