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

Journal metrics

Journal metrics

  • IF value: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year
  • CiteScore value: 3.37 CiteScore
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 60 Scimago H
    index 60
Discussion papers
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Feb 2019

Research article | 25 Feb 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

SO2 Layer Height retrieval from Sentinel-5 Precursor/TROPOMI using FP_ILM

Pascal Hedelt1, Dmitry S. Efremenko1, Diego G. Loyola1, Robert Spurr2, and Lieven Clarisse3 Pascal Hedelt et al.
  • 1Remote Sensing Technology institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
  • 2RT Solutions Inc., Cambridge, MA, USA
  • 3Université libre de Bruxelles (ULB), Service de Chimie Quantique et Photophysique, Atmospheric Spectroscopy, Brussels, Belgium

Abstract. Precise knowledge of the location and height of the volcanic SO2 plumes is essential for accurate determination of SO2 emitted by volcanic eruptions for aviation control applications, but so far very time-consuming to retrieve from UV satellite data. The SO2 height is furthermore one of the most critical parameters that determine the impact on the climate. We have developed an extremely fast yet accurate SO2 layer height retrieval algorithm using the Full-Physics Inverse Learning Machine (FP_ILM) algorithm, which, for the first time, is applied to TROPOMI aboard Sentinel-5 Precursor. In this work we demonstrate the ability of the FP_ILM algorithm to retrieve layer heights in near-real time applications with an accuracy of better than 2 km for SO2 total columns larger than 20 DU and show SO2 layer height results for selected volcanic eruptions.

Pascal Hedelt et al.
Interactive discussion
Status: open (until 22 Apr 2019)
Status: open (until 22 Apr 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
  • RC1: 'review', Anonymous Referee #1, 14 Mar 2019 Printer-friendly Version
Pascal Hedelt et al.
Pascal Hedelt et al.
Total article views: 262 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
189 73 0 262 0 0
  • HTML: 189
  • PDF: 73
  • XML: 0
  • Total: 262
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 25 Feb 2019)
Cumulative views and downloads (calculated since 25 Feb 2019)
Viewed (geographical distribution)  
Total article views: 148 (including HTML, PDF, and XML) Thereof 147 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
No saved metrics found.
No discussed metrics found.
Latest update: 23 Mar 2019
Publications Copernicus
Short summary
Sulphurdioxide (SO2) emitted during volcanic eruptions poses not only a major threat to the local population, air quality as well as aviation but also has an impact on the climate. The satellite-based detection of the SO2 plume is easy, however requires the exact knowledge of the SO2 layer height. This paper presents a new method for the extremely fast and accurate determination of the layer height, which is essential in volcanic plume forecasts and the exact determination of the SO2 density.
Sulphurdioxide (SO2) emitted during volcanic eruptions poses not only a major threat to the...