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

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

doi:https://doi.org/10.5194/acp-23-5487-2023

Articles | Volume 23, issue 9

https://doi.org/10.5194/acp-23-5487-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Dust aerosol measurements, modeling and multidisciplinary...

https://doi.org/10.5194/acp-23-5487-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Supplement

https://doi.org/10.5194/acp-23-5487-2023-supplement

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 http://hdl.handle.net/21.12146/c6d4a608-5de3-47f6-a004-67cb1d498d98

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 https://doi.org/10.5281/zenodo.4244106

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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.