Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

IF value: 9.197
IF9.197
IF 5-year value: 9.612
IF 5-year
9.612
CiteScore value: 12.5
CiteScore
12.5
SNIP value: 3.137
SNIP3.137
IPP value: 9.49
IPP9.49
SJR value: 4.532
SJR4.532
Scimago H <br class='widget-line-break'>index value: 48
Scimago H
index
48
h5-index value: 35
h5-index35
Preprints
https://doi.org/10.5194/essd-2020-109
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-109
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  16 Jul 2020

16 Jul 2020

Review status
A revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

A multi-sensor satellite-based archive of the largest SO2 volcanic eruptions since 2006

Pierre-Yves Tournigand1, Valeria Cigala2, Elzbieta Lasota1, Mohammed Hammouti3, Lieven Clarisse4, Hugues Brenot5, Fred Prata6, Gottfried Kirchengast7, Andrea K. Steiner7, and Riccardo Biondi1 Pierre-Yves Tournigand et al.
  • 1Dipartimento di Geoscienze, Università degli Studi di Padova, Italy
  • 2Ludwig-Maximilians-Universität München, Germany
  • 3Politecnico di Milano, Italy
  • 4Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université Libre de Bruxelles, Belgium
  • 5Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
  • 6AIRES Pty Ltd: Mt Eliza, Victoria, Australia
  • 7Wegener Center for Climate and Global Change, University of Graz, Austria

Abstract. We present a multi-sensor archive collecting spatial and temporal information about volcanic SO2 clouds generated by the eleven largest eruptions of this century. The detection and monitoring of volcanic clouds is an important topic for aviation management, climate issues and weather forecast. Several papers have been published focusing on single events, but not any archive is available at the moment to be used as background for future studies. We archived and collocated the SO2 vertical column density estimations from three different instruments (AIRS, IASI and GOME-2), the atmospheric parameters vertical profiles from the Global Navigation Satellite Systems (GNSS) Radio Occultations (RO) and the vertical backscatter from the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP). We additionally provide information about the cloud top height from three different algorithms and the atmospheric anomaly due to the presence of the cloud. The dataset consists of 223 days monitored with SO2 clouds, collocated with 56675 backscatter profiles and 70126 radio occultation profiles. The modular structure of the archive allows an easy collocation of the different datasets according to the users’ needs and the cross-comparison of the datasets shows the high consistency of the parameters estimated with different sensors and algorithms. The data described here will be published with a DOI after final acceptance of this manuscript (Tournigand et al., 2020, http://doi.org/10.5880/fidgeo.2020.016). During the discussion period, the data are accessible via this temporary link: http://pmd.gfz-potsdam.de/panmetaworks/review/0f85d699707efcdc567765bd0dafaaadf94b6df5a531f310167f7e974ea803bf

Pierre-Yves Tournigand et al.

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Pierre-Yves Tournigand et al.

Data sets

A comprehensive archive of large SO2 volcanic clouds in 2000s P.-Y. Tournigand, V. Cigala, E. Lasota, M. Hammouti, L. Clarisse, H. Brenot, F. Prata, G. Kirchengast, A. Steiner, and R. Biondi https://dataservices.gfz-potsdam.de/panmetaworks/review/0f85d699707efcdc567765bd0dafaaadf94b6df5a531f310167f7e974ea803bf/

Pierre-Yves Tournigand et al.

Viewed

Total article views: 283 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
196 67 20 283 16 24 26
  • HTML: 196
  • PDF: 67
  • XML: 20
  • Total: 283
  • Supplement: 16
  • BibTeX: 24
  • EndNote: 26
Views and downloads (calculated since 16 Jul 2020)
Cumulative views and downloads (calculated since 16 Jul 2020)

Viewed (geographical distribution)

Total article views: 261 (including HTML, PDF, and XML) Thereof 259 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 26 Oct 2020
Download
Short summary
The detection and monitoring of volcanic clouds is an important topic for aviation management, climate and weather forecast. We present in this paper the first comprehensive archive collecting spatial and temporal information about volcanic clouds generated by the eleven largest eruptions of this century. We provide a complete set of state-of-the-art data allowing to develop and test new algorithms contributing to improve the accuracy on the estimation of fundamental volcanic clouds parameters.
The detection and monitoring of volcanic clouds is an important topic for aviation management,...
Citation