Deep learning has emerged as a powerful tool for streamflow forecasting and its
applications have garnered significant interest in the hydrological community. Despite the …

River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

Streamflow prediction in ungauged basins (PUB) is challenging, and Long Short‐Term
Memory (LSTM) is widely used to for such predictions, owing to its excellent migration …

Understanding of runoff response changes (RRC) is essential for water resource
management decisions. However, there is a limited understanding of the effects of climate …

Flood inundation forecast provides critical information for emergency planning before and
during flood events. Real time flood inundation forecast tools are still lacking. High …

Droughts pose a severe environmental risk in countries that rely heavily on agriculture,
resulting in heightened levels of concern regarding food security and livelihood …

Temperature rise, associated with global warming, has increased the severity and frequency
of heat waves around the world. Rajasthan and Karnataka are two major states of India and …

Hydropower plays a significant role in the transition towards a low-carbon power system,
being a renewable energy source that can complement solar and wind power, which are …

Across the globe, there has been an increasing interest in improving the predictability of
subseasonal hydrometeorological forecasts, as they play a valuable role in medium-to long …

In the context of climate change, droughts, increasingly frequent and severe, necessitate
effective monitoring. Existing methods, such as drought indices and data-driven models …