Drought monitoring and understanding of spatiotemporal patterns of drought characteristics
are beneficial for sustainable agricultural water management at a regional scale. Changes …

In the past two decades, artificial intelligence algorithms have proved to be promising tools
for solving a multitude of tough scientific problems. Their success is due, in part, to the …

Meteorological drought during the southwest monsoon season and for the northeast
monsoon season over five meteorological subdivisions of India for the period 1901–2015 …

Prediction of drought is important for efficient water management, as the occurrence of
droughts affects large areas over a long period. According to various climate change …

Drought is a recurring natural hazard, which has the potential to alter the ecological
conditions of a region. A deficit in rainfall and a decrease in the number of rainy days induce …

The Ghana Meteorological Agency delineated Ghana's geographical space into four agro-
climatic zones namely the north, transition, forest and coastal zones. Since the demarcation …

This study aims to establish the conditional independence structure between regional
monthly rainfall and several local meteorological drivers (probable predictors) to develop a …

Changes in precipitation patterns significantly affect flood and drought hazard management
and water resources at local to regional scales. Therefore, the main motivation behind this …

This study explores the potential of the Deep Learning (DL) approach to develop a model for
basin-scale drought assessment using information from a set of primary …

Abstract The Standardised Precipitation and Evapotranspiration Index (SPEI) became one of
the popular drought indices in the context of increasing temperatures under global warming …