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Estimating the volcanic emission rate and atmospheric lifetime of SO2 from space: a case study for Kīlauea volcano, Hawai'i

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<p><strong>Abstract.</strong> We present an analysis of SO<sub>2</sub> column densities derived from GOME-2 satellite measurements for the Kīlauea volcano (Hawai`i) for 2007-2012. During a period of enhanced degassing activity in March-November 2008, monthly mean SO<...

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Bibliographic Details
Main Authors: Beirle, Steffen (Author) , Hörmann, Christoph (Author) , Penning de Vries, M. (Author) , Dörner, S. (Author) , Kern, C. (Author) , Wagner, T. (Author)
Format: Article (Journal)
Language:English
Published: 2014
In: Atmospheric chemistry and physics. Discussions
Year: 2014, Volume: 14, Issue: 16, Pages: 8309-8322
ISSN:1680-7375
DOI:https://doi.org/10.5194/acp-14-8309-2014
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/https://doi.org/10.5194/acp-14-8309-2014
Verlag, lizenzpflichtig, Volltext: https://acp.copernicus.org/articles/14/8309/2014/acp-14-8309-2014-discussion.html
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Author Notes:S. Beirle, C. Hörmann, M. Penning de Vries, S. Dörner, C. Kern, and T. Wagner
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Summary:<p><strong>Abstract.</strong> We present an analysis of SO<sub>2</sub> column densities derived from GOME-2 satellite measurements for the Kīlauea volcano (Hawai`i) for 2007-2012. During a period of enhanced degassing activity in March-November 2008, monthly mean SO<sub>2</sub> emission rates and effective SO<sub>2</sub> lifetimes are determined simultaneously from the observed downwind plume evolution and meteorological wind fields, without further model input. Kīlauea is particularly suited for quantitative investigations from satellite observations owing to the absence of interfering sources, the clearly defined downwind plumes caused by steady trade winds, and generally low cloud fractions. For March-November 2008, the effective SO<sub>2</sub> lifetime is 1-2 days, and Kīlauea SO<sub>2</sub> emission rates are 9-21 kt day<sup>&minus;1</sup>, which is about 3 times higher than initially reported from ground-based monitoring systems.</p>
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Gesehen am 20.11.2020
First published online: 19 August 2014
Physical Description:Online Resource
ISSN:1680-7375
DOI:https://doi.org/10.5194/acp-14-8309-2014

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