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Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling

Rizza, Umberto ; Kandler, Konrad ; Eknayan, Melanie ; Passerini, Giorgio ; Mancinelli, Enrico ; Virgili, Simone ; Morichetti, Mauro ; Nolle, Michael ; Eleftheriadis, Konstantinos ; Vasilatou, Vasiliki ; Ielpo, Pierina (2024)
Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling.
In: Applied Sciences, 2021, 11 (4)
doi: 10.26083/tuprints-00017777
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling
Language: English
Date: 15 January 2024
Place of Publication: Darmstadt
Year of primary publication: 2021
Place of primary publication: Basel
Publisher: MDPI
Journal or Publication Title: Applied Sciences
Volume of the journal: 11
Issue Number: 4
Collation: 19 Seiten
DOI: 10.26083/tuprints-00017777
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

The Weather Research and Forecasting (WRF) model with online coupled chemistry (WRF-Chem) is applied to study an intense Saharan dust outbreak event affecting the Italian peninsula in 15 and 16 April 2018. According to the MODIS retrievals, this intrusion was characterized by an intense aerosol optical depth (AOD) peak value in the southern Mediterranean. Measurements within the Dry Deposition Network Across the Mediterranean (XMed-Dry) are compared with the output of the WRF-Chem model. XMed-Dry samples from Lecce (Italy), Athens (Greece) and San Lawrenz/Gozo (Malta) were analysed with respect to aerosol particle size distribution, relative dust contribution, and composition. The discrepancy between the model and measured deposition indicate the need to formulate in WRF-Chem more sophisticated deposition schemes, this will need to evaluate the sensitivity of the results to the precise particle size limits chosen for the aerosol model. Moreover, satellite retrievals from MODIS sensors elaborated with the MAIAC algorithm, Aeronet stations, and measurements of PM₁₀ at the selected sites were also considered. In a numerical domain that spans the Mediterranean and the northern Saharan desert, two different dust emission schemes, namely Gocart-AFWA and the Shao-2001, were tested and compared with multiplatform observations for simulation period covering the dust outbreak. Actual results indicate that both emission schemes would benefit from replacing the static erodibility map and soil particle distribution with remote sensed and in-situ observational data.

Uncontrolled Keywords: dry-deposition, dust contribution to PM₁₀, Gocart Aerosol model, WRF-Chem model
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-177775
Additional Information:

This article belongs to the Special Issue New Insights into Atmospheric Chemistry and Climate

Classification DDC: 500 Science and mathematics > 550 Earth sciences and geology
Divisions: 11 Department of Materials and Earth Sciences > Earth Science > Atmospheric Aerosol
Date Deposited: 15 Jan 2024 13:42
Last Modified: 14 Mar 2024 10:29
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/17777
PPN: 516257056
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