Results 1 to 10 of about 188,590 (207)

A preliminary camera trapping study of mammals of Monti Lepini (Central Italy)

open access: yesNatural History Sciences, 2023
We used 52 camera traps to survey mammal species in the Lepini Mountains (Lazio, Central Italy) during three trapping sessions. Thirteen mammal species have been recorded. Compared to data based on previous opportunistic observations (2000-2018), camera
Claudio Angelini   +9 more
doaj   +1 more source

Italy, the Monti government and the euro crisis (2011-12)

open access: yesAustralian and New Zealand Journal of European Studies, 2021
Hailed initially as the country’s saviour for saving Italy from default, Mario Monti’s technocratic government (2011-13) ended in controversy and with its achievements questioned. Aware of this contested legacy, this article seeks to revisit Monti’s term
Andrea Benvenuti
doaj   +1 more source

RainForest: a random forest algorithm for quantitative precipitation estimation over Switzerland [PDF]

open access: yesAtmospheric Measurement Techniques, 2021
Quantitative precipitation estimation (QPE) is a difficult task, particularly in complex topography, and requires the adjustment of empirical relations between radar observables and precipitation quantities, as well as methods to transform observations ...
D. Wolfensberger   +5 more
doaj   +1 more source

Weather Radar in Complex Orography

open access: yesRemote Sensing, 2022
Applications of weather radar data to complex orography are manifold, as are the problems. The difficulties start with the choice of suitable locations for the radar sites and their construction, which often involves long transport routes and harsh ...
Urs Germann   +7 more
doaj   +1 more source

A radar-based regional extreme rainfall analysis to derive the thresholds for a novel automatic alert system in Switzerland [PDF]

open access: yesHydrology and Earth System Sciences, 2016
This paper presents a regional extreme rainfall analysis based on 10 years of radar data for the 159 regions adopted for official natural hazard warnings in Switzerland.
L. Panziera   +5 more
doaj   +1 more source

Systemic Photoprotection in Skin Cancer Prevention: Knowledge among Dermatologists

open access: yesBiomolecules, 2021
Background: Systemic photoprotection (i.e., administration of substances such as nicotinamide, carotenoids, and vitamin D) may be important to reduce photocarcinogenesis or to support long-term protection against UV irradiation.
Luca Fania   +11 more
doaj   +1 more source

On the Spectral and Polarimetric Signatures of a Bright Scatterer before and after Hardware Replacement

open access: yesRemote Sensing, 2021
A previous study has used the stable and peculiar echoes backscattered by a single “bright scatterer” (BS) during five winter days to characterize the hardware of C-band, the dual-polarization radar located at Monte Lema (1625 m altitude) in Southern ...
Marco Gabella
doaj   +1 more source

Insights into wind turbine reflectivity and radar cross-section (RCS) and their variability using X-band weather radar observations [PDF]

open access: yesAtmospheric Measurement Techniques, 2021
The increasing need of renewable energy fosters the expansion of wind turbine sites for power production throughout Europe with manifold effects, both on the positive and negative side.
M. Lainer   +7 more
doaj   +1 more source

Technocratic Populism in Italy after Berlusconi: The Trendsetter and his Disciples

open access: yesPolitics and Governance, 2020
Notwithstanding the speculations from the literature, the empirical analyses still neglect the convergence between populism and technocracy. The Italian case can be of some interest in this perspective, given the rise of technocratic populism since ...
Antonino Castaldo, Luca Verzichelli
doaj   +1 more source

Thunderstorm Nowcasting With Deep Learning: A Multi‐Hazard Data Fusion Model

open access: yesGeophysical Research Letters, 2023
Predictions of thunderstorm‐related hazards are needed in several sectors, including first responders, infrastructure management and aviation. To address this need, we present a deep learning model that can be adapted to different hazard types. The model
Jussi Leinonen   +3 more
doaj   +1 more source

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