Mattia Cavaiola
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View article: Lightning and precipitation forecast by means of hybrid deterministic and AI-based tools
Lightning and precipitation forecast by means of hybrid deterministic and AI-based tools Open
Mediterranean coastal regions are regularly affected by sudden heavy precipitation events leading to very dangerous flash floods. Severe convection prediction, being the result of many mutually interacting multiscale processes, not yet com…
View article: Rigid fibre transport in a periodic non-homogeneous geophysical turbulent flow
Rigid fibre transport in a periodic non-homogeneous geophysical turbulent flow Open
From anthropogenic litter carried by ocean currents to plant stems travelling through the atmosphere, geophysical flows are often seeded with elongated, fibre-like particles. In this study, we used a large-scale laboratory model of a tidal…
View article: Combined exploitation of deterministic and AI-based tools for severe weather prediction
Combined exploitation of deterministic and AI-based tools for severe weather prediction Open
Mediterranean coastal regions are regularly affected by sudden heavy precipitation events leading to very dangerous flash floods. The structures responsible for extreme precipitation episodes are typically intense and small-sized quasi-sta…
View article: Hybrid AI-enhanced lightning flash prediction in the medium-range forecast horizon
Hybrid AI-enhanced lightning flash prediction in the medium-range forecast horizon Open
Traditional fully-deterministic algorithms, which rely on physical equations and mathematical models, are the backbone of many scientific disciplines for decades. These algorithms are based on well-established principles and laws of physic…
View article: FlashNet: AI framework for lightning forecasts
FlashNet: AI framework for lightning forecasts Open
This repository contains the code and a subset of the data used in: "AI vs fully-deterministic algorithms: unraveling the dilemma for lightning prediction in the medium-range forecast horizon" by Mattia Cavaiola, Federico Cassola, Davide S…
View article: FlashNet: AI framework for lightning forecasts
FlashNet: AI framework for lightning forecasts Open
This repository contains the code and a subset of the data used in: "AI vs fully-deterministic algorithms: unraveling the dilemma for lightning prediction in the medium-range forecast horizon" by Mattia Cavaiola, Federico Cassola, Davide S…
View article: Ensemble Machine Learning greatly improves ERA5 skills for wind energy applications
Ensemble Machine Learning greatly improves ERA5 skills for wind energy applications Open
The skill of ERA5 has been assessed in relation to the prediction of the wind energy associated with 28 SYNOP stations located in Italy for a time span of 20 years (2001–2020). For comparison, a WRF-based high-resolution downscaling (3 km …
View article: Swarm of slender pusher and puller swimmers at finite Reynolds numbers
Swarm of slender pusher and puller swimmers at finite Reynolds numbers Open
The study of the flow field resulting from suspensions of swimmers at moderate Reynolds numbers, along with hydrodynamic interactions, has received little attention until now despite being of great interest to researchers in the fields of …
View article: Calibrating the CAMS European multi-model air quality forecasts for\n regional air pollution monitoring
Calibrating the CAMS European multi-model air quality forecasts for\n regional air pollution monitoring Open
The CAMS air quality multi-model forecasts have been assessed and calibrated\nfor PM10, PM2.5, O3, NO2, and CO against observations collected by the Regional\nMonitoring Network of the Liguria region (northwestern Italy) in the years 2019\…
View article: Transport and evaporation of virus-containing droplets exhaled by men and women in typical cough events
Transport and evaporation of virus-containing droplets exhaled by men and women in typical cough events Open
The spreading of the virus-containing droplets exhaled during respiratory events, e.g., cough, is an issue of paramount importance for the prevention of many infections such as COVID-19. According to the scientific literature, remarkable d…
View article: Role of barriers in the airborne spread of virus-containing droplets: A study based on high-resolution direct numerical simulations
Role of barriers in the airborne spread of virus-containing droplets: A study based on high-resolution direct numerical simulations Open
State-of-the-art direct numerical simulations are exploited to study the role of barriers on the airborne spread of virus-containing droplets. Our study is motivated by recent findings pointing to the key role of turbulence in dictating th…
View article: Novel strategies of Ensemble Model Output Statistics (EMOS) for calibrating wind speed/power forecasts
Novel strategies of Ensemble Model Output Statistics (EMOS) for calibrating wind speed/power forecasts Open
The issue of the accuracy of wind speed/power forecasts is becoming more and more important as wind power production continues to increase year after year. Having accurate forecasts for the energy market clashes with intrinsic difficulties…
View article: Turbulence role in the fate of virus-containing droplets in violent expiratory events
Turbulence role in the fate of virus-containing droplets in violent expiratory events Open
Violent expiratory events, such as coughing and sneezing, are highly nontrivial examples of a two-phase mixture of liquid droplets dispersed into an unsteady turbulent airflow. Understanding the physical mechanisms determining the dispersi…
View article: Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing
Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing Open
The COVID-19 pandemic is largely caused by airborne transmission, a phenomenon that rapidly gained the attention of the scientific community. Social distancing is of paramount importance to limit the spread of the disease, but to design so…
View article: Urgent data for COVID-19 are needed for a scientific design of social distancing
Urgent data for COVID-19 are needed for a scientific design of social distancing Open
The COVID-19 pandemic is largely caused by airborne transmission, a phenomenon that rapidly gained the attention of the scientific community. Social distancing is of paramount importance to limit the spread of the disease, but to design so…
View article: Turbulence dictates the fate of virus-containing liquid droplets in violent expiratory events
Turbulence dictates the fate of virus-containing liquid droplets in violent expiratory events Open
Violent expiratory events, such as coughing and sneezing, are highly nontrivial examples of two-phase mixture of liquid droplets dispersed into an unsteady humid turbulent fluid phase. Understanding the physical mechanisms determining the …