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 …

We examine long-run trends in surface water quality in Texas, USA, with a focus on nutrient
pollution and its potential economic impacts. Using> 2 million observations of total nitrogen …

Precipitation patterns and extremes are significantly influenced by various climatic factors
and large-scale atmospheric circulation patterns. This study uses wavelet coherence …

The hydrological and agricultural droughts and their characteristics were evaluated using
the Standardized Streamflow Index (SSFI) and Standardized Soil Moisture Index (SSI) …

Despite the existence of several stochastic streamflow generators, not much attention has
been given to representing the impacts of large-scale climate indices on seasonal to …

Oceanic-atmospheric phenomena of different time scales concurrently might affect the
streamflow in several basins around the world. The Atrato River Basin (ARB) and Patía River …

Under the background of global warming, it is very important to explore the spatial–temporal
evolution and causes of regional drought/flood for the realization of drought relief and social …

Recent research has linked the climate variability associated with ocean-atmosphere
teleconnections to impacts rippling throughout environmental, economic, and social …

Understanding temporal trends in low streamflows is important for water management and
ecosystems. This work focuses on trends in the occurrence rate of extreme low‐flow events …

Streamflow forecasting is a crucial task for hydropower operations, flood forecasting and
water resource use optimization. Ensemble Streamflow Prediction (ESP) is commonly used …