Articles | Volume 23, issue 9
https://doi.org/10.5194/acp-23-5487-2023
https://doi.org/10.5194/acp-23-5487-2023
Research article
 | 
17 May 2023
Research article |  | 17 May 2023

Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe

Michail Mytilinaios, Sara Basart, Sergio Ciamprone, Juan Cuesta, Claudio Dema, Enza Di Tomaso, Paola Formenti, Antonis Gkikas, Oriol Jorba, Ralph Kahn, Carlos Pérez García-Pando, Serena Trippetta, and Lucia Mona

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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-2022-655', Anonymous Referee #2, 18 Nov 2022
  • RC2: 'Comment on acp-2022-655', Anonymous Referee #3, 27 Jan 2023
  • AC1: 'Comment on acp-2022-655', Michail Mytilinaios, 30 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Michail Mytilinaios on behalf of the Authors (02 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Apr 2023) by Stelios Kazadzis
AR by Michail Mytilinaios on behalf of the Authors (06 Apr 2023)
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Short summary
Multiscale Online Non-hydrostatic AtmospheRe CHemistry model (MONARCH) dust reanalysis provides a high-resolution 3D reconstruction of past dust conditions, allowing better quantification of climate and socioeconomic dust impacts. We assess the performance of the reanalysis needed to reproduce dust optical depth using dust-related products retrieved from satellite and ground-based observations and show that it reproduces the spatial distribution and seasonal variability of atmospheric dust well.
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