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 …

Droughts are the most spatially complex geohazard, which often lasts for years, thereby
severely impacting socio-economic sectors. One of the critical aspects of drought studies is …

The advancements of artificial intelligence models have demonstrated notable progress in
the field of hydrological forecasting. However, predictions of extreme climate events are still …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Drought is considered one of the costliest natural disasters that result in water scarcity and
crop damage almost every year. Drought monitoring and forecasting are essential for the …

With the advancement of computer science, Artificial Intelligence (AI) is being incorporated
into many fields to increase prediction performance. Disaster management is one of the …

The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …

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 …

Droughts are prolonged precipitation-deficient periods, resulting in inadequate water
availability and adverse repercussions to crops, animals and humans. Drought forecasting is …

This study investigates the main characteristics (duration, severity, and trend) of
meteorological drought events over Ankara Province, Turkey. We used 46 years of observed …