Drought forecasting using standardized metrics of rainfall is a core task in hydrology and
water resources management. Standardized Precipitation Index (SPI) is a rainfall-based …

A drought forecasting model is a practical tool for drought-risk management. Drought models
are used to forecast drought indices (DIs) that quantify drought by its onset, termination, and …

In order to investigate the behaviour of climatic and hydrological variables, several statistical
and stochastic techniques are currently applied to time series. In the present study a …

This paper provides a bibliographical guide to researchers and tra c engineers who are
interested in self-similar tra c modeling and analysis. It lists some of the most recent network …

Since Hurst [1951] detected the presence of long‐term persistence in hydrologic data, new
estimation methods and long‐memory models have been developed. The lack of flexibility in …

High percentages of the yearly total precipitation concentration in a few very rainy days can
increase the risks of floods and soil instability. In this paper, an investigation of the spatial …

Abstract The North Atlantic Oscillation (NAO) is a major mode of large‐scale climate
variability which contains a broad spectrum of variations. There are substantial contributions …

A seasonal fractional autoregressive integrated moving average (ARIMA) model is
introduced, with both short‐and long‐term persistent periodic components. The estimation of …

Investigating climatology and predicting rainfall amounts are crucial for planning and
mitigating the risks caused by variable rainfall. This study utilized two multivariate …

In order to investigate trends in time series of hydrological variables, observational records
are generally assumed to be independent (IND) or having short-term persistence (STP), as …