The Standardized Precipitation Index (SPI) is a widely accepted drought index. Its
calculation algorithm normalizes the index via a distribution function. Which distribution …

Spatial and temporal variability of drought in Oman was assessed for the period 1979–2014
using the Standardized Precipitation Index (SPI) and the Standardized Precipitation …

Uncertainty in the calculation of a standardized precipitation index (SPI) attracted growing
concerns in the hydrometeorology research community in the last decade. This issue is …

Central African citizens are highly vulnerable to extreme hydroclimatic events due to excess
precipitation or to dry spells. This study makes use of CHIRPS precipitation data gridded at …

The spatiotemporal variability of meteorological droughts, its changes and hot spots location
across Africa are analysed for the period spanning 1928–2017 using the Standardized …

Drought is a recurrent phenomenon in the Sudano–Sahelian region of Cameroon. However,
it has received very little attention, especially, on its impacts on the growing season of crops …

In this study the capability of two advanced hybrid artificial intelligence-based methods is
investigated in modelling meteorological droughts based on the standardized precipitation …

Monthly precipitation time series of 46 synoptic stations distributed over diverse climates of
Iran were investigated to identify the best‐fitted probability distribution function (PDF) to the …

The Standardized Precipitation Index (SPI) is a standardized measure of the variability of
precipitation and is widely used for drought assessment around the world. In general, the …

Understanding the probability distributions of precipitation is crucial for predicting climatic
events and constructing hydraulic facilities. To overcome the inadequacy of precipitation …