Climate change has caused droughts to increase in frequency and severity worldwide,
which has attracted scientists to create drought prediction models to mitigate the impacts of …

This paper focus on the drought monitoring and forecasting for semi-arid region based on
the various machine learning models and SPI index. Drought phenomena are crucial role in …

In this study, drought events over a large area of the Northern Hemisphere, including
continental Europe, Ireland, the United Kingdom, and the Mediterranean basin, were …

A noticeable increase in drought frequency and severity has been observed across the
globe due to climate change, which attracted scientists in development of drought prediction …

Forecasting meteorological and hydrological drought using standardized metrics of rainfall
and runoff (SPI/SRI) is critical for the long-term planning and management of water …

The increase in concern about drought in the Seyhan− Ceyhan River Basins in Turkey has
brought about the need to define temporal and spatial drought variations. Unlike previous …

Intense short-term meteorological drought may lead to rapid declines in soil moisture,
triggering flash drought that can cause major agricultural or socioeconomic damage …

Droughts pose a severe environmental risk in countries that rely heavily on agriculture,
resulting in heightened levels of concern regarding food security and livelihood …

Precipitation is a crucial component of the water cycle, and its unpredictability may
dramatically influence agriculture, ecosystems, and water resource management. On the …

Drought is a slow-onset phenomenon driven by the lack of precipitation, affecting the
performance of plants and functionality of terrestrial ecosystems. In addition to the length …