Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.668
IF3.668
IF 5-year value: 3.707
IF 5-year
3.707
CiteScore value: 6.3
CiteScore
6.3
SNIP value: 1.383
SNIP1.383
IPP value: 3.75
IPP3.75
SJR value: 1.525
SJR1.525
Scimago H <br class='widget-line-break'>index value: 77
Scimago H
index
77
h5-index value: 49
h5-index49
Preprints
https://doi.org/10.5194/amt-2016-92
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-2016-92
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  04 May 2016

04 May 2016

Review status
This preprint was under review for the journal AMT. A revision for further review has not been submitted.

Inferring the size distribution of volcanic ash from IASI measurements and optimal estimation

Luke M. Western1, Peter N. Francis2, I. Matthew Watson1, and Shona Mackie3 Luke M. Western et al.
  • 1COMET, School of Earth Sciences, University of Bristol, Bristol, UK
  • 2Met Office, Exeter, UK
  • 3School of Earth Sciences, University of Bristol, Bristol, UK

Abstract. This study demonstrates a method of retrieving the mass column loading and cloud-top pressure of a volcanic ash cloud, together with the effective radius and spread of the ash particle size distribution, as well as the cloud top pressure of any underlying water cloud, using an optimal estimation technique applied to Infrared Atmospheric Sounding Interferometer data. Two shapes of particle size distribution are considered, a log-normal and a gamma distribution. Results show that it is viable to retrieve a measure of the size distribution spread, namely the geometric standard deviation, when a log-normal distribution is assumed, whereas this is not the case for an assumed gamma distribution in terms of its effective variance. The volcanic conditions under which the method works well are discussed, as are its shortcomings. The method is applied to two volcanic eruptions: Eyjafjallajökull, Iceland using data from 6th May 2010 and Kasatochi, Alaska using data from 8th August 2008. The results show that the retrieved geometric standard deviation of these ash clouds is spatially variable, and is generally similar to what is assumed in many passive infrared remote sensing techniques. An abrupt change in the retrieved geometric standard deviation has been observed for the Eyjafjallajökull eruption along the trajectory of the ash cloud, and possible explanations for this are discussed.

Luke M. Western et al.

Interactive discussion

Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Luke M. Western et al.

Luke M. Western et al.

Viewed

Total article views: 1,078 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
459 566 53 1,078 46 45
  • HTML: 459
  • PDF: 566
  • XML: 53
  • Total: 1,078
  • BibTeX: 46
  • EndNote: 45
Views and downloads (calculated since 04 May 2016)
Cumulative views and downloads (calculated since 04 May 2016)

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 28 Nov 2020
Publications Copernicus
Download
Short summary
This work aims to infer the size distribution of airborne volcanic ash using satellite measurements. The size distribution of volcanic ash is typically described using two parameters, of which one is normally assumed and one can be measured using satellites. This work shows that it is possible, using a satellite with high spectral resolution, to retrieve both parameters. This work has been done to reduce uncertainty in mass calculations for airspace management during volcanic unrest.
This work aims to infer the size distribution of airborne volcanic ash using satellite...
Citation