Articles | Volume 13, issue 15
https://doi.org/10.5194/acp-13-7395-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-13-7395-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Aug 2013
Research article |
| 01 Aug 2013
Changes in particulate matter physical properties during Saharan advections over Rome (Italy): a four-year study, 2001–2004
G. P. Gobbi
Institute of Atmospheric Sciences and Climate, ISAC-CNR, Rome, Italy
F. Angelini
Institute of Atmospheric Sciences and Climate, ISAC-CNR, Rome, Italy
F. Barnaba
Institute of Atmospheric Sciences and Climate, ISAC-CNR, Rome, Italy
F. Costabile
Institute of Atmospheric Sciences and Climate, ISAC-CNR, Rome, Italy
J. M. Baldasano
Barcelona Supercomputing Centre – Centro Nacional de Supercomputación (BSC-CNS), Barcelona, Spain
Environmental Modelling Laboratory, Technical University of Catalonia, Barcelona, Spain
S. Basart
Barcelona Supercomputing Centre – Centro Nacional de Supercomputación (BSC-CNS), Barcelona, Spain
R. Sozzi
Latium Environmental Protection Agency (ARPA Lazio), Rome, Italy
A. Bolignano
Latium Environmental Protection Agency (ARPA Lazio), Rome, Italy
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Cited
28 citations as recorded by crossref.
- Analysis of two-decade meteorological and air quality trends in Rome (Italy) A. Di Bernardino et al. https://doi.org/10.1007/s00704-022-04047-y
- A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals I. Binietoglou et al. https://doi.org/10.5194/amt-8-3577-2015
- An inclusive view of Saharan dust advections to Italy and the Central Mediterranean G. Gobbi et al. https://doi.org/10.1016/j.atmosenv.2019.01.002
- Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A B. Chen et al. https://doi.org/10.1029/2021JD036393
- Concurrent Influence of Different Natural Sources on the Particulate Matter in the Central Mediterranean Region during a Wildfire Season J. Castagna et al. https://doi.org/10.3390/atmos12020144
- Quantitative assessment of meteorological variables' impact on PM10 and PM2.5 aerosol particles in Rome (2015–2019): Climate change effects on PM A. Speranza & R. Caggiano https://doi.org/10.1016/j.uclim.2026.102970
- Evaluating the effects of columnar NO2 on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. https://doi.org/10.5194/amt-16-2989-2023
- Source identification of inorganic airborne particle fraction (PM10) at ultratrace levels by means of INAA short irradiation P. Avino et al. https://doi.org/10.1007/s11356-013-2418-y
- Evaluation of air quality and mobility policies in 14 large Italian cities from 2006 to 2016 L. Tomassetti et al. https://doi.org/10.1080/10934529.2020.1752070
- Extreme, wintertime Saharan dust intrusion in the Iberian Peninsula: Lidar monitoring and evaluation of dust forecast models during the February 2017 event A. Fernández et al. https://doi.org/10.1016/j.atmosres.2019.06.007
- WRF-Chem model simulations of a dust outbreak over the central Mediterranean and comparison with multi-sensor desert dust observations U. Rizza et al. https://doi.org/10.5194/acp-17-93-2017
- Analysis of major pollutants and physico-chemical characteristics of PM2.5 at an urban site in Rome C. Fanizza et al. https://doi.org/10.1016/j.scitotenv.2017.10.168
- Influence of atmospheric parameters on the interaction between Urban Heat and Pollution Islands in a Mediterranean coastal city A. Di Bernardino et al. https://doi.org/10.1016/j.atmosres.2025.108702
- Desert dust contribution to PM10 loads in Italy: Methods and recommendations addressing the relevant European Commission Guidelines in support to the Air Quality Directive 2008/50 F. Barnaba et al. https://doi.org/10.1016/j.atmosenv.2017.04.038
- Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering N. Siomos et al. https://doi.org/10.3390/rs12060965
- Size resolved aerosol respiratory doses in a Mediterranean urban area: From PM10 to ultrafine particles M. Manigrasso et al. https://doi.org/10.1016/j.envint.2020.105714
- EARLINET: potential operationality of a research network M. Sicard et al. https://doi.org/10.5194/amt-8-4587-2015
- PM Dimensional Characterization in an Urban Mediterranean Area: Case Studies on the Separation between Fine and Coarse Atmospheric Aerosol M. Manigrasso et al. https://doi.org/10.3390/atmos13020227
- Mediterranean intense desert dust outbreaks and their vertical structure based on remote sensing data A. Gkikas et al. https://doi.org/10.5194/acp-16-8609-2016
- The 20–22 February 2016 Mineral Dust Event in Tehran, Iran: Numerical Modeling, Remote Sensing, and In Situ Measurements N. Najafpour et al. https://doi.org/10.1029/2017JD027593
- Multiannual assessment of the desert dust impact on air quality in Italy combining PM10 data with physics-based and geostatistical models F. Barnaba et al. https://doi.org/10.1016/j.envint.2022.107204
- Performance of a dust model to predict the vertical mass concentration of an extreme Saharan dust event in the Iberian Peninsula: Comparison with continuous, elastic, polarization-sensitive lidars C. Córdoba-Jabonero et al. https://doi.org/10.1016/j.atmosenv.2019.116828
- An outstanding Saharan dust event at Mt. Cimone (2165 m a.s.l., Italy) in March 2004 E. Brattich et al. https://doi.org/10.1016/j.atmosenv.2015.05.017
- The western Mediterranean basin as an aged aerosols reservoir. Insights from an old-fashioned but efficient radiotracer E. Brattich et al. https://doi.org/10.1016/j.atmosenv.2016.07.022
- Atmospheric aerosols in Rome, Italy: sources, dynamics and spatial variations during two seasons C. Struckmeier et al. https://doi.org/10.5194/acp-16-15277-2016
- Investigating the quality of modeled aerosol profiles based on combined lidar and sunphotometer data N. Siomos et al. https://doi.org/10.5194/acp-17-7003-2017
- Spatial-temporal assessment of air quality in Rome (Italy) based on anemological clustering A. Di Bernardino et al. https://doi.org/10.1016/j.apr.2023.101670
- A Comparison of the Different Stages of Dust Events over Beijing in March 2021: The Effects of the Vertical Structure on Near-Surface Particle Concentration F. Wang et al. https://doi.org/10.3390/rs13183580
28 citations as recorded by crossref.
- Analysis of two-decade meteorological and air quality trends in Rome (Italy) A. Di Bernardino et al. https://doi.org/10.1007/s00704-022-04047-y
- A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals I. Binietoglou et al. https://doi.org/10.5194/amt-8-3577-2015
- An inclusive view of Saharan dust advections to Italy and the Central Mediterranean G. Gobbi et al. https://doi.org/10.1016/j.atmosenv.2019.01.002
- Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A B. Chen et al. https://doi.org/10.1029/2021JD036393
- Concurrent Influence of Different Natural Sources on the Particulate Matter in the Central Mediterranean Region during a Wildfire Season J. Castagna et al. https://doi.org/10.3390/atmos12020144
- Quantitative assessment of meteorological variables' impact on PM10 and PM2.5 aerosol particles in Rome (2015–2019): Climate change effects on PM A. Speranza & R. Caggiano https://doi.org/10.1016/j.uclim.2026.102970
- Evaluating the effects of columnar NO2 on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. https://doi.org/10.5194/amt-16-2989-2023
- Source identification of inorganic airborne particle fraction (PM10) at ultratrace levels by means of INAA short irradiation P. Avino et al. https://doi.org/10.1007/s11356-013-2418-y
- Evaluation of air quality and mobility policies in 14 large Italian cities from 2006 to 2016 L. Tomassetti et al. https://doi.org/10.1080/10934529.2020.1752070
- Extreme, wintertime Saharan dust intrusion in the Iberian Peninsula: Lidar monitoring and evaluation of dust forecast models during the February 2017 event A. Fernández et al. https://doi.org/10.1016/j.atmosres.2019.06.007
- WRF-Chem model simulations of a dust outbreak over the central Mediterranean and comparison with multi-sensor desert dust observations U. Rizza et al. https://doi.org/10.5194/acp-17-93-2017
- Analysis of major pollutants and physico-chemical characteristics of PM2.5 at an urban site in Rome C. Fanizza et al. https://doi.org/10.1016/j.scitotenv.2017.10.168
- Influence of atmospheric parameters on the interaction between Urban Heat and Pollution Islands in a Mediterranean coastal city A. Di Bernardino et al. https://doi.org/10.1016/j.atmosres.2025.108702
- Desert dust contribution to PM10 loads in Italy: Methods and recommendations addressing the relevant European Commission Guidelines in support to the Air Quality Directive 2008/50 F. Barnaba et al. https://doi.org/10.1016/j.atmosenv.2017.04.038
- Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering N. Siomos et al. https://doi.org/10.3390/rs12060965
- Size resolved aerosol respiratory doses in a Mediterranean urban area: From PM10 to ultrafine particles M. Manigrasso et al. https://doi.org/10.1016/j.envint.2020.105714
- EARLINET: potential operationality of a research network M. Sicard et al. https://doi.org/10.5194/amt-8-4587-2015
- PM Dimensional Characterization in an Urban Mediterranean Area: Case Studies on the Separation between Fine and Coarse Atmospheric Aerosol M. Manigrasso et al. https://doi.org/10.3390/atmos13020227
- Mediterranean intense desert dust outbreaks and their vertical structure based on remote sensing data A. Gkikas et al. https://doi.org/10.5194/acp-16-8609-2016
- The 20–22 February 2016 Mineral Dust Event in Tehran, Iran: Numerical Modeling, Remote Sensing, and In Situ Measurements N. Najafpour et al. https://doi.org/10.1029/2017JD027593
- Multiannual assessment of the desert dust impact on air quality in Italy combining PM10 data with physics-based and geostatistical models F. Barnaba et al. https://doi.org/10.1016/j.envint.2022.107204
- Performance of a dust model to predict the vertical mass concentration of an extreme Saharan dust event in the Iberian Peninsula: Comparison with continuous, elastic, polarization-sensitive lidars C. Córdoba-Jabonero et al. https://doi.org/10.1016/j.atmosenv.2019.116828
- An outstanding Saharan dust event at Mt. Cimone (2165 m a.s.l., Italy) in March 2004 E. Brattich et al. https://doi.org/10.1016/j.atmosenv.2015.05.017
- The western Mediterranean basin as an aged aerosols reservoir. Insights from an old-fashioned but efficient radiotracer E. Brattich et al. https://doi.org/10.1016/j.atmosenv.2016.07.022
- Atmospheric aerosols in Rome, Italy: sources, dynamics and spatial variations during two seasons C. Struckmeier et al. https://doi.org/10.5194/acp-16-15277-2016
- Investigating the quality of modeled aerosol profiles based on combined lidar and sunphotometer data N. Siomos et al. https://doi.org/10.5194/acp-17-7003-2017
- Spatial-temporal assessment of air quality in Rome (Italy) based on anemological clustering A. Di Bernardino et al. https://doi.org/10.1016/j.apr.2023.101670
- A Comparison of the Different Stages of Dust Events over Beijing in March 2021: The Effects of the Vertical Structure on Near-Surface Particle Concentration F. Wang et al. https://doi.org/10.3390/rs13183580
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