The present work comprehensively reviews all the pertinent large-scale climate indices used
to analyse the hydrological extremes in India; along with various non-linear models, which …

In this study, the spatial–temporal variability of hydrological drought in Meriç Basin, Turkey,
has been examined, and its relationship with global climate oscillations has been explored …

Long and temporal time-consistency rainfall time series are essential for studying climate;
nevertheless, raingauge stations are unevenly distributed across southwestern Colombia …

Monsoon and its teleconnection with earth system internal processes affect the
spatiotemporal distribution of precipitation and water resources. In this paper, the wavelet …

Improving the accuracy of rainfall forecasting is relevant for adequate water resources
planning and management. This research project evaluated the performance of the …

Rainfall prediction is vital for the management of available water resources. Accordingly, this
study used large lagged climate indices to predict rainfall in Iran's Sefidrood basin. A radial …

Abstract The El Niño–Southern Oscillation (ENSO) is the main phenomenon causing
interannual rainfall variability in many parts of the globe. Its influence on Southwestern …

The Tumaco multivariate index (TMI) is a multidecadal monthly index constructed with
unique time series of sea surface temperature, surface air temperature and rain measured at …

Historical rainfall records are relevant in hydrometeorological studies because they provide
information on the spatial features, frequency, and amount of precipitated water in a specific …

This research presents a seasonal analysis of the variability of streamflows in the Patía River
Basin (PRB) between 1984 and 2018 and the influence exerted by the large-scale climate …