Articles | Volume 22, issue 7
https://doi.org/10.5194/acp-22-5071-2022
https://doi.org/10.5194/acp-22-5071-2022
Research article
 | 
14 Apr 2022
Research article |  | 14 Apr 2022

A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data

Alexandru Mereuţă, Nicolae Ajtai, Andrei T. Radovici, Nikolaos Papagiannopoulos, Lucia T. Deaconu, Camelia S. Botezan, Horaţiu I. Ştefănie, Doina Nicolae, and Alexandru Ozunu

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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 acp-2021-790', Anonymous Referee #1, 11 Jan 2022
    • AC1: 'Reply on RC1', Nicolae Ajtai, 25 Feb 2022
  • RC2: 'Comment on acp-2021-790', Anonymous Referee #2, 13 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Nicolae Ajtai on behalf of the Authors (25 Feb 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (27 Mar 2022) by Evangelos Gerasopoulos
AR by Nicolae Ajtai on behalf of the Authors (29 Mar 2022)  Manuscript 
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Short summary
In this study we analysed oil smoke plumes from 30 major industrial events within a 12-year timeframe. To our knowledge, this is the first study of its kind that uses a synergetic approach based on satellite remote sensing techniques. Satellite data offer access to these events, which are mainly located in war-prone or hazardous areas. Our study highlights the need for improved aerosol models and algorithms for these types of aerosols with implications on air quality and climate change.
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