Tiziano Maestri

Prof. Tiziano Maestri

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 November 2008 in Reviews of Geophysics
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Journal Article
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JHJ. Harries
J. Harries
BCB. Carli
B. Carli
RRR. Rizzi
R. Rizzi
Carmine SerioCarmine Serio
Carmine Serio
MMM. Mlynczak
M. Mlynczak
Guido MasielloGuido Masiello
Guido Masiello

19 November 2009 in Atmospheric Chemistry and Physics
Verified
Journal Article
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Paolo Di GirolamoPaolo Di Girolamo
Paolo Di Girolamo
DSD. Summa
D. Summa
RLR.-F. Lin
R.-F. Lin
TMTiziano Maestri
Tiziano Maestri
RRR. Rizzi
R. Rizzi
Guido MasielloGuido Masiello
Guido Masiello
Raman lidar measurements performed in Potenza by the Raman lidar system BASIL in the presence of cirrus clouds are discussed. Measurements were performed on 6 September 2004 in the frame of the Italian phase of the EAQUATE Experiment. The major feature of BASIL is represented by its capability to perform high-resolution and accurate measurements of atmospheric temperature and water vapour, and consequently relative humidity, both in daytime and night-time, based on the application of the rotational and vibrational Raman lidar techniques in the UV. BASIL is also capable to provide measurements of the particle backscatter and extinction coefficient, and consequently lidar ratio (at the time of these measurements, only at one wavelength), which are fundamental to infer geometrical and microphysical properties of clouds. A case study is discussed in order to assess the capability of Raman lidars to measure humidity in presence of cirrus clouds, both below and inside the cloud. While air inside the cloud layers is observed to be always under-saturated with respect to water, both ice super-saturation and under-saturation conditions are found inside these clouds. Upper tropospheric moistening is observed below the lower cloud layer. The synergic use of the data derived from the ground based Raman Lidar and of spectral radiances measured by the NAST-I Airborne Spectrometer allows the determination of the temporal evolution of the atmospheric cooling/heating rates due to the presence of the cirrus cloud. Lidar measurements beneath the cirrus cloud layer have been interpreted using a 1-D cirrus cloud model with explicit microphysics. The 1-D simulations indicate that sedimentation-moistening has contributed significantly to the moist anomaly, but other mechanisms are also contributing. This result supports the hypothesis that the observed mid-tropospheric humidification is a real feature which is strongly influenced by the sublimation of precipitating ice crystals. Results illustrated in this study demonstrate that Raman lidars, like the one used in this study, can resolve the spatial and temporal scales required for the study of cirrus cloud microphysical processes and appear sensitive enough to reveal and quantify upper tropospheric humidification associated with cirrus cloud sublimation.

23 February 2008 in Geophysical Research Letters
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Journal Article
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RBR. Bhawar
R. Bhawar
GBGiovanni Bianchini
Giovanni Bianchini
ABAlessio Bozzo
Alessio Bozzo
MCM. Cacciani
M. Cacciani
MCM. R. Calvello
M. R. Calvello
ETE. Tosi
E. Tosi

1 July 2014 in Journal of Quantitative Spectroscopy and Radiative Transfer
Verified
Journal Article
Closed access
TMTiziano Maestri
Tiziano Maestri
RRR. Rizzi
R. Rizzi
ETE. Tosi
E. Tosi
PVP. Veglio
P. Veglio
LPLUCA PALCHETTI
LUCA PALCHETTI
DSD. Summa
D. Summa

17 September 2021 in Atmospheric Chemistry and Physics
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Journal Article
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WCWilliam Cossich
William Cossich
TMTiziano Maestri
Tiziano Maestri
DMDavide Magurno
Davide Magurno
MMMichele Martinazzo
Michele Martinazzo
GNGianluca Di Natale
Gianluca Di Natale
MGMassimo Del Guasta
Massimo Del Guasta
Statistics on the occurrence of clear skies, ice clouds, and mixed-phase clouds over Concordia Station, in the Antarctic Plateau, are provided for multiple timescales and analyzed in relation to simultaneous meteorological parameters measured at the surface. Results are obtained by applying a machine learning cloud identification and classification (CIC) code to 4 years of measurements between 2012–2015 of downwelling high-spectral-resolution radiances, measured by the Radiation Explorer in the Far Infrared – Prototype for Applications and Development (REFIR-PAD) spectroradiometer. The CIC algorithm is optimized for Antarctic sky conditions and results in a total hit rate of almost 0.98, where 1.0 is a perfect score, for the identification of the clear-sky, ice cloud, and mixed-phase cloud classes. Scene truth is provided by lidar measurements that are concurrent with REFIR-PAD. The CIC approach demonstrates the key role of far-infrared spectral measurements for clear–cloud discrimination and for cloud phase classification. Mean annual occurrences are 72.3 %, 24.9 %, and 2.7 % for clear sky, ice clouds, and mixed-phase clouds, respectively, with an inter-annual variability of a few percent. The seasonal occurrence of clear sky shows a minimum in winter (66.8 %) and maxima (75 %–76 %) during intermediate seasons. In winter the mean surface temperature is about 9 ∘C colder in clear conditions than when ice clouds are present. Mixed-phase clouds are observed only in the warm season; in summer they amount to more than one-third of total observed clouds. Their occurrence is correlated with warmer surface temperatures. In the austral summer, the mean surface air temperature is about 5 ∘C warmer when clouds are present than in clear-sky conditions. This difference is larger during the night than in daylight hours, likely due to increased solar warming. Monthly mean results are compared to cloud occurrence and fraction derived from gridded (Level 3) satellite products from both passive and active sensors. The differences observed among the considered products and the CIC results are analyzed in terms of footprint sizes and sensors' sensitivities to cloud optical and geometrical features. The comparison highlights the ability of the CIC–REFIR-PAD synergy to identify multiple cloud conditions and study their variability at different timescales.

10 May 2005 in Applied Optics
Verified
Journal Article
Closed access
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LPLUCA PALCHETTI
LUCA PALCHETTI
GBGiovanni Bianchini
Giovanni Bianchini
FCFrancesco Castagnoli
Francesco Castagnoli
BCBruno Carli
Bruno Carli
Carmine SerioCarmine Serio
Carmine Serio
TMTiziano Maestri
Tiziano Maestri
In preparation for a possible space mission, a breadboard version named REFIR-BB of the Radiation Explorer in the Far Infrared (REFIR) instrument has been built. The REFIR is a Fourier-transform spectrometer with a new optical layout operating in the spectral range 100–1100 cm−1 with a resolution of 0.5 cm−1, a7-s acquisition time, and a signal-to-noise ratio of better than 100. Its mission is the spectral measurement in the far infrared of the Earth's outgoing emission, with particular attention to the long-wavelength spectral region, which is not covered by either current or planned space missions. This measurement is of great importance for deriving an accurate estimate of the radiation budget in both clear and cloudy conditions. The REFIR-BB permits the trade-off among all instrument parameters to be studied, the optical layout to be tested, and the data-acquisition strategy to be optimized. The breadboard could be used for high-altitude ground-based campaigns or could be flown for test flights on aircraft or balloon stratospheric platforms. The breadboard's design and the experimental results are described, with particular attention to the acquisition strategy and characterization of the interferometer. Tests were performed both in laboratory conditions and in vacuum. Notwithstanding a loss of efficiency above 700 cm−1 caused by the poor performance of the photolithographic polarizers used as beam splitters, the results demonstrate the feasibility of using the spectrometer for space applications.