Rainfall forecasting is a high-priority research problem due to the complex interplay of
multiple factors. Despite extensive studies, a systematic quantitative review of recent …

Recent years have witnessed a growing interest in using GNSS observations to detect
heavy precipitation. In this study, a neural network-based (NN-based) approach taking …

Summer monsoon rainfall contributes more than 75% of the annual rainfall in India. For the
state of Maharashtra, India, this is more than 80% for almost all regions of the state. The high …

Monsoon rainfall prediction over a small geographic region is indeed a challenging task.
This paper uses monthly means of climate variables, namely air temperature (AT), sea …

A hybrid model for nowcasting of storms has been developed by employing predicted
integrated water vapor (IWV) with light gradient boosting machine (GBM) on Global …

The prediction of chaotic dynamical systems' future evolution is widely debated and
represents a hot topic in the context of nonlinear time series analysis. Recent advances in …

The pervasive diffusion of information and communication technologies that has
characterized the end of the 20th and the beginning of the 21st centuries has profoundly …

Intense convective storms usually produce large rainfall volumes in short time periods,
increasing the risk of floods and causing damages to population, buildings, and …

Accurate precipitation forecasting is essential for emergency management, aviation, and
marine agencies to prepare for potential weather impacts. However, traditional radar echo …

Convective storms represent a dangerous atmospheric phenomenon, particularly for the
heavy and concentrated precipitation they can trigger. Given their high velocity and …