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  7. Understanding Mineral Dust Through a Doctoral Alliance
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Understanding Mineral Dust Through a Doctoral Alliance

Journal
Environmental and Earth Sciences Proceedings
Date Issued
October 27, 2025
Author(s)
Marenco, Franco  
Amiridis, Vassilis  
Costa, Maria João  
Kandler, Konrad  
Kazadzis, Stelios  
Klose, Martina  
Pérez García-Pando, Carlos  
Ryder, Claire  
M.Antunes, Celia  
Basart, Sara  
Bortoli, Daniele  
Bouris, Demetri  
Brooks, Melissa  
Buters, Jeroen  
Canhoto, Paulo  
Carra, Maria-Elena  
Choutris, Panos  
Christoudias, Theodoros  
Clarkson, Rory  
Dacre, Helen  
Dubovik, Oleg  
Fragkos, Konstantinos  
Francis, Diana  
Fuertes, David  
Goncalves Ageitos, Maria  
Johnson, Ben  
Llopis, Eliot  
Mallios, Sotirios  
Mamouri, Rodanthi-Elisavet  
Marinou, Eleni  
Meleti, Charikleia  
Pozzer, Andrea  
Rimell, Andrew  
Sciare, Jean  
Shumake-Guillemot, Joy  
Tembhekar, Noorani  
Tsekeri, Alexandra  
Vogel, Andreas  
Wessels, Inga  
Westbrook, Chris  
Wienhold, Frank  
Wild, Martin  
M.Tschorn, Kenneth  
Kolintziki, Eleni  
Moncada, Francesco  
DOI
10.3390/eesp2025035078
Abstract
We present an example of how a doctoral network can bring together multidisciplinary expertise and novel scientific advances in atmospheric dust. This network (Dust-DN) has started operations and is a strategic alliance of high-profile partners, able to leverage unique facilities for atmospheric research and innovative space missions. The network aims to improve our understandings of dust processes and microphysics, identify the signature of source regions, address the socio-economic impacts of dust transport and improve the quantification of the role of dust in the climate system. The first results have already been achieved and are shown here, and many more are expected to follow.
Subjects

dust

microphysics

source regions

climate

socio-economic impact...

environmental health

Earth observations

airborne research

remote sensing

File(s)
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eesp-35-00078 (1).pdf

Size

727.67 KB

Format

Adobe PDF

Checksum (MD5)

bb4ddd990782e708269874d382f6b0e3

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