1:45pm - 2:00pmTH3-3: 1
AOD variability over Rome (Italy) using 21-years (2001-2022) of space (MODIS-MAIAC) and ground-based (AERONET) data
Valentina Terenzi1, Patrizio Tratzi1, Valerio Paolini1, Antonietta Ianniello1, Francesca Barnaba2, Cristiana Bassani1
1Italian National Research Council, Institute of Atmospheric Pollution Research (CNR-IIA); 2Italian National Research Council, Institute of Atmospheric Sciences and Climate (CNR-ISAC)
Multiangle Implementation of Atmospheric Correction (MAIAC) AOD from both the MODIS TERRA and AQUA satellites was investigated focussing over Rome (Italy) urban area and its surroundings over the 21-years period (2001–2022). The satellite AOD was firstly validated exploiting long-term dataset of the AERONET Rome-Tor Vergata station. Interesting results were obtained concerning the influence of geometrical configuration of the satellite acquisition and the aerosol predominant mode (fine and coarse) on the accuracy of the MAIAC AOD product. Finally, the investigation on the study area confirms the general decrease of AOD over Rome over the two decades.
2:00pm - 2:15pmTH3-3: 2
Characterization of the Planetary Boundary Layer Height (PBLH) by Active Remote Sensing Techniques over Italian ACTRIS Stations
Zeeshan Ali1, Riccardo Damiano1, Salvatore Amoruso1, Antonella Boselli2, Alessia Sannino1
1Department of Physics “Ettore Pancini”, University of Naples Federico II, Naples, 80126, Italy; 2Institute of Methodologies for Environmental Analysis (IMAA), National Research Council of Italy (CNR), 85050 Tito Scalo (PZ), Italy
The Planetary Boundary Layer (PBL) is the lowest part of the atmosphere, directly interacting with the Earth's surface. Its height (PBLH) is crucial for studying pollution and meteorology but is often difficult to measure. This research utilizes aerosol and Doppler wind lidar data to analyze PBLH evolution across South Italian ACTRIS stations. Various gradient-based and wavelet transform algorithms are applied to lidar data, revealing consistent trends with some deviations during transition periods. Additionally, wind speed and turbulence analyses using Doppler lidar enhance PBLH retrieval accuracy. The study provides valuable insights into PBLH variability across different seasons and atmospheric conditions.
2:15pm - 2:30pmTH3-3: 3
Atmospheric aerosol typing over Italy from AERONET data
Florin Unga1, Stefano Corradini2, Sergio Teggi3, Lorenzo Guerrieri4, Vincenzo Rizi5, Marco Iarlori5, Francesca Barnaba6, Alessandro Bracci6, Antonella Boselli7, Salvatore Amoruso8, Gelsomina Pappalardo7, Lucia Mona7, Aldo Giunta7, Maria Rita Perrone9, Angelo Palombo7, Stefano Pignatti7, Michele Furnari10, Daniela Meloni11, Alcide di Sarra11, Damiano Massimiliano Sferlazzo12, Mihai Marius Cazacu13, Daniela Cesari1, Daniele Contini1
1Istituto di scienze dell'atmosfera e del clima, Consiglio Nazionale delle Ricerche, Lecce, 73100, Italy; 2Istituto Nazionale di Geofisica e Vulcanologia, Rome, 00143, Italy; 3Dipartimento di Ingegneria "Enzo Ferrari", Università degli Studi di Modena e Reggio Emilia, Modena, 41121, Italy; 4Dipartimento di Ingegneria "Enzo Ferrari", Università degli Studi di Modena e Reggio Emilia, Modena, 41121, Italy; 5Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell'Aquila, Coppito, 67100, Italy; 6Istituto di scienze dell'atmosfera e del clima, Consiglio Nazionale delle Ricerche, Roma, 00133, Italy; 7Istituto di metodologie per l'analisi ambientale, Consiglio Nazionale delle Ricerche, Potenza, 85050, Italy; 8Dipartimento di Fisica, Università degli Studi di Napoli Federico II, Napoli, 80138, Italy; 9Dipartimento di Fisica, Università del Salento, Lecce, 73100, Italy; 10Istituto per le Risorse Biologiche e le Biotecnologie Marine, Consiglio Nazionale delle Ricerche, Messina, 98122, Italy; 11Agenzia Nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile, Rome, 00123, Italy; 12Agenzia Nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile, Lampedusa, 92031, Italy; 13Department of Physics, “Gheorghe Asachi” Technical University of Iasi, Iasi, 700050, Romania
Atmospheric aerosol scattering and absorption wavelength tendencies of AERONET level 2.0, version 3 data (cloud-screened, quality-assured, and AOD at 440 nm > 0.4 a.u.) of 10 long-term stations across Italy have been evaluated (Holben et al, 1998, Dubovik et al, 2002). By using an optical typing approach, the means of Scattering Angstrom Exponent (SAE) versus Absorption Angstrom Exponent (AAE) between 440 - 675 nm of all stations have been categorized in the following aerosol dominant types: dust, dust/OC mixture, dust/EC mixture, coated particles, mixture, OC, EC, and OC/EC mixture (Cazorla et al, 2013).
2:30pm - 2:45pmTH3-3: 4
Determination of multiple-scattering enhancement parameters for two Aethalometers in the Arctic during two research cruises
Marcus Acton-Bond1, Fabio Giardi2, Cosimo Fratticioli2, Giulia Calzolai2, Luca Ferrero3, Niccolò Losi3, Alessandro Bracci4, Ferdinando Pasqualini4, Luca Di Liberto4, Piotr Markuszewski5, Martin Rigler6, Asta Gregoric6, Janna E. Rückert7, Ingo Schewe8, Vera Bernardoni1
1Department of Physics – Università degli Studi di Milano and INFN, Milan, Italy; 2INFN and Dept. of Physics and Astronomy Univ. of Florence, Sesto F.no, Italy; 3GEMMA Center, Department of Earth and Environmental Sciences, University of Milano-Bicocca, Italy; 4National Research Council - Institute of Atmospheric Sciences and Climate (CNR-ISAC), Italy; 5IOPAN, Institute of Oceanology Polish Academy of Sciences, Poland; 6Aerosol d.o.o., Kamniška 39A, SI-1000 Ljubljana, Slovenia; 7University of Bremen, Institute of Environmental Physics, Bremen, Germany; 8Alfred Wegener Institut (AWI), 27568, Bremerhaven, Germany
In this work, aerosol attenuation coefficients from Aethalometers (AE33, AE36S) and aerosol light absorption coefficient measured off-line by polar photometry at five wavelengths (using PP_UNIMI, University of Milan) were compared at different wavelengths. The samples refer to two Arctic cruises carried out in summer 2024 on different research vessels (Oceania - IOPAN and Polarstern - AWI).
This allowed to determine experimentally multiple-scattering enhancement parameters for the Aethalomethers, evidencing instrument- and wavelength- dependence.
Finally, a comparison with the results obtained at high temporal resolution using the approach described in Ferrero et al. (Sci. Total Environ., 917, 170221) was carried out.
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