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

Viewed

Total article views: 2,266 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,766 446 54 2,266 111 33 33
  • HTML: 1,766
  • PDF: 446
  • XML: 54
  • Total: 2,266
  • Supplement: 111
  • BibTeX: 33
  • EndNote: 33
Views and downloads (calculated since 01 Nov 2022)
Cumulative views and downloads (calculated since 01 Nov 2022)

Viewed (geographical distribution)

Total article views: 2,266 (including HTML, PDF, and XML) Thereof 2,298 with geography defined and -32 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 21 Apr 2024
Download
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.
Altmetrics
Final-revised paper
Preprint