Global warming has made the Arctic increasingly available for marine operations and created a demand reliable operational sea ice forecasts to increase safety. Because ocean-ice numerical models are highly computationally intensive, relatively lightweight ML-based methods may be more efficient forecasting. Many studies have exploited different deep learning alongside classical approaches predic...

Low water levels are a seasonal phenomenon, which can be long, short, and more or less intense, affecting entire watercourses. This phenomenon has become concern for many countries who seek better understanding of the processes that affect it learn how to optimally manage resources (pumping, irrigation). Consequently, lumped rainfall model at daily time step (GR) been defined, calibrated, regio...

The GARCH model is one of the most influential models for characterizing and predicting fluctuations in economic financial studies. However, traditional commonly use daily frequency data to predict return, correlation, risk indicator assets, without taking with other frequencies into account. Hence, market information may not be sufficiently applied estimation GARCH-type models. To partially so...