Global warming and the urban heat island effect have led to a decline in the quality of urban
open spaces. Although many studies have been conducted on the thermal environment of …

Abstract Machine learning (ML) models have become a key component in modern world
services. In decision-making domains where human expertise is crucial, for example, for …

Although seasonal climate forecasts have major socioeconomic impacts, current forecast
products, especially those for precipitation, are not yet reliable for forecasters and decision …

In the Global South, the effects of climate change have resulted in more frequent and severe
weather events such as droughts, floods, and storms, leading to crop failures, food …

This work summarizes recent advances in modelling and econometrics for alternative
directions in macroeconomics and cycle theories. Starting from the definition of a cycle and …

The rapid increase in greenhouse gas emissions, primarily due to human activities, has
become a significant environmental concern in the 21st century. According to measurements …

Achieving accurate precipitation estimation at high spatial and temporal resolution is critical
in hydrology and meteorology, particularly in regions experiencing water resource …