Search Results - "Barnaba, Francesca"

From real-time to long-term source apportionment of PM10 using high-time-resolution measurements of aerosol physical properties: methodology and example application at an urban background site (Aosta, Italy).

Authors: Diémoz, Henri Barnaba, Francesca Ferrero, Luca et al.

Source: Atmospheric Measurement Techniques. 2026, Vol. 19 Issue 11, p3625-3665. 41p.

Modeling the Aerosol Extinction versus Backscatter Relationship for Lidar Applications: Maritime and Continental Conditions.

Authors: Barnaba, Francesca Gobbi, Gian Paolo

Source: Journal of Atmospheric & Oceanic Technology; Mar2004, Vol. 21 Issue 3, p428-442, 15p

Assessment of NO2 uncertainty impact on aerosol optical depth retrievals at a global scale.

Authors: Masoom, Akriti Kazadzis, Stelios Valeri, Masimo et al.

Source: EGUsphere; 3/19/2024, p1-29, 29p

Urban CO2 and CH4 pilot atmospheric measurements in the Milan city area (Northern Italy).

Authors: Cristofanelli, Paolo Zannoni, Nora Apadula, Francesco et al.

Source: Atmospheric Environment; Sep2026, Vol. 381, pN.PAG-N.PAG, 1p

Transport of Po Valley aerosol pollution to the northwestern Alps – Part 1: Phenomenology.

Authors: Diémoz, Henri Barnaba, Francesca Magri, Tiziana et al.

Source: Atmospheric Chemistry & Physics. 2019, Vol. 19 Issue 5, p3065-3095. 31p. 2 Diagrams, 1 Chart, 9 Graphs, 2 Maps.

A multiwavelength numerical model in support of quantitative retrievals of aerosol properties from automated lidar ceilometers and test applications for AOT and PM10 estimation.

Authors: Dionisi, Davide Barnaba, Francesca Diémoz, Henri et al.

Source: Atmospheric Measurement Techniques. 2018, Vol. 11 Issue 11, p6013-6042. 30p.

Imaginary refractive-index effects on desert-aerosol extinction versus backscatter relationships at 351 nm: numerical computations and comparison with Raman lidar measurements.

Authors: Perrone, Maria Rita Barnaba, Francesca De Tomasi, Ferdinando

Source: Applied Optics; October 10 2004, Vol. 43 Issue 29, p5531-5541, 11p

Altitude-resolved properties of a Saharan dust event over the Mediterranean.

Authors: Gobbi, Gian Paolo Barnaba, Francesca Giorgi, Riccardo

Source: Atmospheric Environment; 2000, Vol. 34 Issue 29/30, p5119-5127, 9p

WRF-Chem model simulations of a dust outbreak over the central Mediterranean and comparison with multi-sensor desert dust observations.

Authors: Rizza, Umberto Barnaba, Francesca Miglietta, Mario Marcello et al.

Source: Atmospheric Chemistry & Physics. 2017, Vol. 17 Issue 1, p93-115. 23p. 4 Color Photographs, 4 Charts, 8 Graphs.

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.

Authors: Barnaba, Francesca Bolignano, Andrea Di Liberto, Luca et al.

Source: Atmospheric Environment. Jul2017, Vol. 161, p288-305. 18p.

Subjects: Air quality, Dust, Soil crusting, European Commission

Geographic Terms: Italy

Transport of Po Valley aerosol pollution to the northwestern Alps. Part 1: phenomenology.

Authors: Diémoz, Henri Barnaba, Francesca Magri, Tiziana et al.

Source: Atmospheric Chemistry & Physics Discussions. 2018, p1-45. 45p.

Validation of aerosol chemical composition and optical properties provided by Copernicus Atmosphere Monitoring Service (CAMS) using ground-based global data.

Authors: Amarillo, Ana Carolina Curci, Gabriele De Santis, Davide et al.

Source: Atmospheric Environment. Oct2024, Vol. 334, pN.PAG-N.PAG. 1p.

Subject Terms: *Particulate matter, *Air pollution, *Aerosol analysis, Machine learning, Analytical chemistry

A multi-wavelength numerical model in support to quantitative retrievals of aerosol properties from automated-lidar-ceilometers and test applications for AOT and PM10 estimation.

Authors: Dionisi, Davide Barnaba, Francesca Diémoz, Henri et al.

Source: Atmospheric Measurement Techniques Discussions. 2018, p1-47. 47p.

WRF-Chem model simulations of a dust outbreak over the Central Mediterranean and comparison with multi-sensor desert dust observations.

Authors: Rizza, Umberto Barnaba, Francesca Miglietta, Mario Marcello et al.

Source: Atmospheric Chemistry & Physics Discussions. 2016, p1-37. 37p.

The relative role of Amazonian and non-Amazonian fires in building up the aerosol optical depth in South America: A five year study (2005–2009)

Authors: Castro Videla, Fernando Barnaba, Francesca Angelini, Federico et al.

Source: Atmospheric Research. Mar2013, Vol. 122, p298-309. 12p.

Subjects: Atmospheric aerosols, Biomass burning, Artificial satellites, Fires, Convergence (Meteorology), Atmospheric transport

Geographic Terms: South America, Amazon River Region

Extinction versus backscatter relationships for lidar applications at 351 nm: maritime and desert aerosol simulations and comparison with observations

Authors: Barnaba, Francesca De Tomasi, Ferdinando Gobbi, Gian Paolo et al.

Source: Atmospheric Research. Jun2004, Vol. 70 Issue 3/4, p229-259. 31p.

Subjects: Optical radar, Particles, Air pollution, Aerosols

Study of atmospheric aerosols and mixing layer by LIDAR.

Authors: Angelini, Federico Barnaba, Francesca Landi, Tony Christian et al.

Source: Radiation Protection Dosimetry. Dec2009, Vol. 137 Issue 3/4, p275-279. 5p. 2 Graphs.

Comprehensive Validation of MODIS-MAIAC Aerosol Products and Long-Term Aerosol Detection over an Urban–Rural Area Around Rome in Central Italy.

Authors: Terenzi, Valentina Tratzi, Patrizio Paolini, Valerio et al.

Source: Remote Sensing. Jun2025, Vol. 17 Issue 12, p2051. 26p.

Multiannual assessment of the desert dust impact on air quality in Italy combining PM10 data with physics-based and geostatistical models.

Authors: Barnaba, Francesca Alvan Romero, Nancy Bolignano, Andrea et al.

Source: Environment International. May2022, Vol. 163, pN.PAG-N.PAG. 1p.

Subjects: Particulate matter, Deserts, Atmospheric transport, Dust storms, Random forest algorithms, Air quality, Dust

Geographic Terms: Italy

Aerosols in the Mixed Layer and Mid-Troposphere from Long-Term Data of the Italian Automated Lidar-Ceilometer Network (ALICENET) and Comparison with the ERA5 and CAMS Models.

Authors: Bellini, Annachiara Diémoz, Henri Gobbi, Gian Paolo et al.

Source: Remote Sensing. Feb2025, Vol. 17 Issue 3, p372. 35p.