Advances of the analytical, numerical, experimental and field-measurement approaches in
wind engineering offers unprecedented volume of data that, together with rapidly evolving …

Andersen, H., J. Cermak, J. Fuchs, R. Knutti, and U. Lohmann, 2017: Understanding the
drivers of marine liquid-water cloud occurrence and properties with global observations …

This study presents a concept for coupling remote sensing data and environmental variables
with machine learning techniques for the prediction of large hail events. In particular, we …

The realistic representation of convection in atmospheric models is paramount for skillful
predictions of hazardous weather as well as climate, yet climate models especially suffer …

Strong winds induced by extratropical storms cause a large number of power outages
especially in highly forested countries such as Finland. Thus, predicting the impact of the …

Extreme precipitation events have been occurring frequently worldwide, and their causative
factors and convection initiation (CI) mechanisms have been attracting more and more …

The usually short lifetime of convective storms and their rapid development during unstable
weather conditions makes forecasting these storms challenging. It is necessary, therefore, to …

Bulgaria is a country with a high frequency of hail and thunderstorms from May to
September. For the May–September 2010–2015 period, statistical regression analysis was …

In this paper we tackle a problem of convective situations analysis at Adolfo-Suarez Madrid-
Barajas International Airport (Spain), based on Ordinal Regression algorithms. The …

Convection initiation (CI) associated with a cold pool gust front (GF) of a mesoscale
convective system (MCS) occurred in the Bohai Bay region, North China, is investigated …