A predictive model for streamflow has practical implications for understanding the drought
hydrology, environmental monitoring and agriculture, ecosystems and resource …

Floods are amongst the most dangerous natural hazards in terms of economic damage.
Whilst a growing number of studies have examined how river floods are influenced by …

We investigate the viability of using El Niño–Southern Oscillation (ENSO) and sea surface
temperature (SST) data to predict seasonal streamflow for one of the major rivers in Sri …

Climate change (CC) is likely to affect the thousands of bar-built or barrier estuaries (here
referred to as Small tidal inlets-STIs) around the world. Any such CC impacts on the stability …

Bar-built or barrier estuaries (here referred to as Small tidal inlets, or STIs), which are
commonly found along wave-dominated, microtidal mainland coasts, are highly likely to be …

ABSTRACT A new multi-step, hybrid artificial intelligence-based model is proposed to
forecast future precipitation anomalies using relevant historical climate data coupled with …

This research explores the rainfall-El Niño-Southern Oscillation (ENSO) and runoff-ENSO
relationships and examines the potential for water resource forecasting using these …

Abstract The Argentinean Pampean region is essential for global food security, known for its
extensive production of soybeans, corn, and wheat. The November to January (NDJ) …

Climate change is widely expected to affect the thousands of small tidal inlets (STIs) dotting
the global coastline. To properly inform effective adaptation strategies for the coastal areas …

Abstract Background El Niño events were suggested as a potential predictor for malaria
epidemics in Sri Lanka based on the coincidence of nine out of 16 epidemics with El Niño …