In recent years droughts have been occurring frequently, and their impacts are being
aggravated by the rise in water demand and the variability in hydro-meteorological variables …

This study aims to model the joint drought duration and severity distribution using two-
dimensional copulas. The method of inference function for margins (IFM method) is …

Drought is a global phenomenon that occurs virtually in all landscapes causing significant
damage both in natural environment and in human lives. Due to the random nature of …

The accuracy of four evolutionary neuro fuzzy methods, adaptive neuro-fuzzy inference
system with particle swarm optimization (ANFIS-PSO), ANFIS with genetic algorithm (ANFIS …

Droughts are stochastic in nature, therefore, statistical assessment of droughts is an
attractive approach for water resources planning and management. In this study, a …

Treating the occurrence and severity of droughts as random, a hybrid model, combining a
linear stochastic model and a nonlinear artificial neural network (ANN) model, is developed …

Drought is considered to be an extreme climatic event causing significant damage both in
the natural environment and in human lives. Due to the important role of drought forecasting …

Droughts are one of the normal and recurrent climatic phenomena on Earth. However,
recurring prolonged droughts have caused far‐reaching and diverse impacts because of …

The spatio-temporal variability of drought is presented by evaluating homogeneously
distributed 250 station records from 1931 to 2010 for 80 years' duration in Turkey. The …

This study aims to model the joint probability distribution of periodic hydrologic data using
meta-elliptical copulas. Monthly precipitation data from a gauging station (410120) in Texas …