This work presents a novel approach for simulating visibility (Vis) and ceiling base height
(Hc) in up to 1 h using several machine learning (ML) algorithms. Ten years of …

This research developed models, based on machine learning (MA), for forecasting 16 h and
4 h of occurrence of a convective meteorological event (CME), 4 h for forecasting severity …

Abstract Forecast models (6–8 h) are proposed for predicting meteorological convective
events (MCEs) based on machine learning algorithms for two preestablished areas I and II …

This article evaluates the traditional in-flight turbulence forecast tool for mountainous regions
known as Harrison's Abacus and proposes a set of models based on machine learning (ML) …

Statistical analyses of the seasonal and temporal distributions of turbulence events in the
Santiago (Chile)–Mendoza (Argentina) route region are constructed using automated in situ …

This research developed models, based on machine learning (MA), for forecasting 16 hours
and 4 hours of occurrence of a convective meteorological event (CME), 4 hours for …

The impact of the data assimilation process of air temperature and relative humidity from
surface meteorological stations and sounding at airports in the terminal area of Rio de …

The impact of the data assimilation process of air temperature and relative humidity from
surface meteorological stations and sounding at airports in the terminal area of Rio de …