Arid
DOI10.3390/app11041566
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
通讯作者Ielpo, P (corresponding author), Natl Res Council Italy, CNR ISAC, Inst Atmospher Sci & Climate, I-73100 Lecce, Italy.
来源期刊APPLIED SCIENCES-BASEL
EISSN2076-3417
出版年2021
卷号11期号:4
英文摘要The Weather Research and Forecasting (WRF) model with online coupled chemistry (WRFChem) 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.
英文关键词dry-deposition dust contribution to PM10 Gocart Aerosol model WRF-Chem model
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000632097600001
WOS类目Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS研究方向Chemistry ; Engineering ; Materials Science ; Physics
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/349503
作者单位[Rizza, Umberto; Morichetti, Mauro; Ielpo, Pierina] Natl Res Council Italy, CNR ISAC, Inst Atmospher Sci & Climate, I-73100 Lecce, Italy; [Kandler, Konrad; Eknayan, Melanie] Tech Univ Darmstadt, Inst Appl Geosci, D-64287 Darmstadt, Germany; [Passerini, Giorgio; Mancinelli, Enrico; Virgili, Simone] Univ Politecn Marche, Dept Ind Engn & Math Sci, I-60131 Ancona, Italy; [Nolle, Michael] Environm & Resources Author, Ambient Qual & Waste Unit, MRS-1441 Marsa, Malta; [Eleftheriadis, Konstantinos; Vasilatou, Vasiliki] NCSR Demokritos, Inst Nucl & Radiol Sci & Technol Energy & Safety, Athens 15341, Greece
推荐引用方式
GB/T 7714
Rizza, Umberto,Kandler, Konrad,Eknayan, Melanie,et al. Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling[J],2021,11(4).
APA Rizza, Umberto.,Kandler, Konrad.,Eknayan, Melanie.,Passerini, Giorgio.,Mancinelli, Enrico.,...&Ielpo, Pierina.(2021).Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling.APPLIED SCIENCES-BASEL,11(4).
MLA Rizza, Umberto,et al."Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling".APPLIED SCIENCES-BASEL 11.4(2021).
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