Articles | Volume 17, issue 2
Atmos. Chem. Phys., 17, 1187–1205, 2017
https://doi.org/10.5194/acp-17-1187-2017
Atmos. Chem. Phys., 17, 1187–1205, 2017
https://doi.org/10.5194/acp-17-1187-2017

Research article 25 Jan 2017

Research article | 25 Jan 2017

Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption

Guangliang Fu et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Guangliang Fu on behalf of the Authors (05 Oct 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (07 Oct 2016) by Thomas von Clarmann
RR by Anonymous Referee #1 (15 Oct 2016)
RR by Anonymous Referee #3 (18 Oct 2016)
RR by Anonymous Referee #4 (31 Oct 2016)
ED: Reconsider after major revisions (04 Nov 2016) by Thomas von Clarmann
AR by Guangliang Fu on behalf of the Authors (30 Nov 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 Dec 2016) by Thomas von Clarmann
RR by Anonymous Referee #4 (13 Dec 2016)
ED: Reconsider after major revisions (13 Dec 2016) by Thomas von Clarmann
AR by Guangliang Fu on behalf of the Authors (19 Dec 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Dec 2016) by Thomas von Clarmann
RR by Matthew Toohey (04 Jan 2017)
ED: Reconsider after minor revisions (Editor review) (05 Jan 2017) by Thomas von Clarmann
AR by Guangliang Fu on behalf of the Authors (05 Jan 2017)  Author's response    Manuscript
ED: Publish as is (09 Jan 2017) by Thomas von Clarmann
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Short summary
A Satellite Observational Operator (SOO) is proposed to translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The SOO makes the analysis step of assimilation comparable in the 3-D model space, and thus it avoids the artificial vertical correlations by not involving the integral operator in directly assimilating 2-D data. The results show that satellite data assimilation with SOO can efficiently improve the estimate of volcanic ash state and the forecast.
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