Mr. Fabrizio Masin Profile

Fabrizio Masin

at Univ degli Studi di Bologna

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Publications (4)

Proceedings Article | 20 November 2024 Presentation + Paper

The cloud identification and classification (CIC) algorithm for high spectral resolution observations in the far- and mid-infrared part of the spectrum

Federico Donat, Elisa Fabbri, Tiziano Maestri, Michele Martinazzo, Fabrizio Masin, Giorgia Proietti Pelliccia, Lorenzo Cassini, Guido Masiello, Giuliano Liuzzi, Carmine Serio

Proceedings Volume 13193, 1319302 (2024) https://doi.org/10.1117/12.3031709

KEYWORDS: Clouds, Infrared radiation, Far infrared, Spectral resolution, Satellites, Machine learning, Sensors, Scene classification

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Proceedings Article | 20 November 2024 Presentation + Paper

Developments of the σ-IASI/F2N radiative transfer model: a new linear-in-T approach for accurate treatment of clouds

Guido Masiello, Carmine Serio, Giuliano Liuzzi, Pamela Pasquariello, Rocco Giosa, Tiziano Maestri, Michele Martinazzo, Fabrizio Masin, Lorenzo Cassini, Federico Donat, Giorgia Proietti Pelliccia, Sara Venafra, Luca Sgheri, Francesco De Cosmo

Proceedings Volume 13193, 1319303 (2024) https://doi.org/10.1117/12.3031533

KEYWORDS: Clouds, Radiative transfer, Atmospheric modeling, Far infrared, Multiple scattering

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Proceedings Article | 19 October 2023 Presentation + Paper

Simultaneous retrieval from the full IASI spectrum of cloud and atmospheric parameters using the new all-sky forward model sigma-IASI/F2N: the first day-night infrared retrieval of the Antarctica ozone hole

Carmine Serio, Guido Masiello, Giuliano Liuzzi, Pietro Mastro, Tiziano Maestri, Michele Martinazzo, Fabrizio Masin, Sara Venafra

Proceedings Volume 12730, 1273006 (2023) https://doi.org/10.1117/12.2679103

KEYWORDS: Ozone, Atmospheric modeling, Clouds, Infrared radiation, Radiative transfer, Ice, Gases, Atmospheric optics, Water

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We have developed a new forward model for all sky radiative transfer calculations in the spectral range 10 to 2760 cm⁻¹ . This new code, which we call σ-IASI/F2N, allows us to calculate in all-sky based on an original parametrization of the optical depth of atmospheric gases and clouds. Clouds are represented through the atmospheric profiles of Liquid Water Content (LWC), Ice Water Content (IWC), and effective radii of both water droplets (re) and ice crystals (De). The cloud parametrization relies on suitable scaling laws, which make the radiative transfer equations for a cloudy atmosphere identical to those for a clear atmosphere. Therefore, the difficulties in applying a multiple-scattering algorithm to a partly cloudy atmosphere are avoided, and the computational efficiency is practically the same as that for a clear atmosphere. The new radiative transfer code has been coupled with an inverse scheme based on the Optimal Estimation methodology. The problem of dimensionality of the data and parameter space is handled by considering suitable transforms, which allow the representation of the radiances (data space) and the atmospheric state vector (parameter space) through a set of reduced components. The dimensionality is diminished through the random Projections transform for the radiance space, whereas we use the usual Principal Component Analysis for the parameter space. The scheme’s performance has been evaluated using the Infrared Atmospheric Sounder Interferometer (IASI) spectral radiances. The soundings are collocated with analyses from the European Centre for Medium-Range Forecasts (ECMWF) model. The ECMWF analyses provide the basic information, i.e., the first guess state vector to initialize the inverse scheme. The forward/inverse technique uses the whole IASI spectral coverage (645 to 2760 cm⁻¹). As such, it is the first scheme for all sky using the full IASI spectrum to retrieve clouds and atmospheric parameters simultaneously. This new forward/inverse model is exemplified through the analysis of a set of IASI soundings over the Antarctica continent on 9 September 2021 at the onset of the ozone hole. We will show that infrared retrievals add information to assess ozone’s spatial extent and depletion.

Proceedings Article | 1 March 2019 Presentation + Paper

Degradation physics of GaN-based lateral and vertical devices

Matteo Meneghini, Carlo De Santi, Alessandro Barbato, Matteo Borga, Eleonora Canato, Francesca Chiocchetta, Elena Fabris, Fabrizio Masin, Arianna Nardo, Fabiana Rampazzo, Maria Ruzzarin, Alaleh Tajalli, Marco Barbato, Gaudenzio Meneghesso, Enrico Zanoni

Proceedings Volume 10918, 1091817 (2019) https://doi.org/10.1117/12.2511145

KEYWORDS: Gallium nitride, Transistors, Reliability, Field effect transistors, Failure analysis, Diodes, Dielectrics, Diffusion, Physics, Microscopy

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