Articles | Volume 23, issue 9
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

Data sets

MONARCH high-resolution reanalysis data set of desert dust aerosol over Northern Africa, the Middle East and Europe E. Di Tomaso, J. Escribano, S. Basart, F. Macchia, F. Benincasa, P.-A. Bretonnière, A. Buñuel, M. Castrillo, M. Gonçalves, O. Jorba, M. Klose, G. Montané Pinto, M. Olid, and C. Pérez García-Pando

ModIs Dust AeroSol (MIDAS): A global fine resolution dust optical depth dataset A. Gkikas, E. Proestakis, V. Amiridis, S. Kazadzis, E. Di Tomaso, A. Tsekeri, E. Marinou, N. Hatzianastassiou, and C. Pérez García-Pando

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.
Final-revised paper