Drought prediction is of critical importance to early warning for drought managements. This
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …

Satellite remote sensing provides unprecedented information on near-surface soil moisture
at a global scale, enabling a wide range of studies such as drought monitoring and …

Rising global temperatures are causing increases in the frequency and severity of extreme
climatic events, such as floods, droughts, and heat waves. We analyze changes in summer …

In the last decades drought has become one of the natural disasters with most relevant
impacts in Europe and this not only in water scarce areas such as the Mediterranean that …

Quantitative understanding of vegetation vulnerability under drought stress is essential to
initiating drought preparedness and mitigation. In this study, a bivariate probabilistic …

Increases in the severity and frequency of drought in a warming climate may negatively
impact agricultural production and food security. Unlike previous studies that have estimated …

An imperative aspect of agricultural planning is accurate yield prediction. Artificial
Intelligence (AI) techniques, such as Deep Learning (DL), have been recognized as effective …

Abstract Long-term (over 30a) satellite-based quantitative rainfall estimate (SRE) products
provide an ideal data source for hydrological drought monitoring. This study mainly explores …

Natural disasters may act as harmful causes of food insecurity in the Middle East. Frequent
drought events, water scarcity, and unsustainable intensive agricultural practices may …

Droughts of greater severity are expected to occur more frequently at larger space-time
scales under global warming and climate change. Intensified drought and increased rainfall …