Articles | Volume 15, issue 3
https://doi.org/10.5194/gmd-15-971-2022
https://doi.org/10.5194/gmd-15-971-2022
Model evaluation paper
 | 
02 Feb 2022
Model evaluation paper |  | 02 Feb 2022

Evaluating the assimilation of S5P/TROPOMI near real-time SO2 columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption

Antje Inness, Melanie Ades, Dimitris Balis, Dmitry Efremenko, Johannes Flemming, Pascal Hedelt, Maria-Elissavet Koukouli, Diego Loyola, and Roberto Ribas

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-219', Anonymous Referee #1, 10 Oct 2021
  • RC2: 'Comment on gmd-2021-219', Nina Iren Kristiansen, 14 Oct 2021
  • CEC1: 'Comment on gmd-2021-219', Juan Antonio Añel, 25 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Antje Inness on behalf of the Authors (12 Nov 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (22 Dec 2021) by Graham Mann
AR by Antje Inness on behalf of the Authors (22 Dec 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (26 Dec 2021) by Graham Mann
AR by Antje Inness on behalf of the Authors (28 Dec 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (04 Jan 2022) by Graham Mann
AR by Antje Inness on behalf of the Authors (05 Jan 2022)  Author's response   Manuscript 
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Short summary
This paper describes the way that the Copernicus Atmosphere Monitoring Service (CAMS) produces forecasts of volcanic SO2. These forecasts are provided routinely every day. They are created by blending SO2 data from satellite instruments (TROPOMI and GOME-2) with the CAMS model. We show that the quality of the CAMS SO2 forecasts can be improved if additional information about the height of volcanic plumes is provided in the satellite data.