This study analyses the spatiotemporal variability of meteorological drought over Africa and its nine climate subregions from an ensemble 19 multisource datasets (gauge-based, satellite-based reanalysis) period 1983–2014. The standardized precipitation index (SPI) is used to represent on a 3-month scale. We analyse various characteristics (duration, events, frequency, intensity, severity) for a...

Accurate estimation of drought events is vital for the mitigation their adverse consequences on water resources, agriculture and ecosystems. Machine learning algorithms are promising methods prediction as they require less time, minimal inputs, relatively complex than dynamic or physical models. In this study, a combination machine with Standardized Precipitation Evapotranspiration Index (SPEI)...

     Drought monitoring is a fundamental component of drought risk management. It is normally performed using various drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables. In many instances, drought indices are used for monitoring purposes. Geostatistical methods allow the interpolation of spatially referenced data and the prediction of v...

Introduction ‘Everybody talks about the weather, but nobody does anything about it’, said Mark Twain. But this famous quote is decidedly inaccurate: people have long contemplated weather modification, and both adapt or adjust to weather conditions, and move towards or away from certain climatic regimes. Southern Africa generally has a high coefficient of rainfall variation, making droughts a fr...

This study evaluates drought at Lashkargah, Farah, Adraskan, and Gardandiwal stations in Helmand River Basin (HRB) Afghanistan to determine appropriate indices for the basin. Thirty seven years of monthly recorded precipitation data from 1979 2015 are employed with different index (DI) methods which include Standardized Precipitation Index (Normal-SPI, Log-SPI, Gamma-SPI), Percent Normal (PN), ...