Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …

Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …

Droughts are among the most complex and devastating natural hazards globally. High-
resolution datasets of drought metrics are essential for monitoring and quantifying the …

Understanding hydrological variability is of crucial importance for water resource
management in sub-Saharan Africa (SSA). While existing studies typically focus on …

In the last few years, the world has experienced numerous extreme droughts with adverse
direct, cascading, and systemic impacts. Despite more frequent and severe events, drought …

Subsurface storage changes (Δ S) represent a key modulator of drought propagation
through the hydrological cycle, but their contribution to the annual water balance, and to …

This study synthesizes the current understanding of the hydrological, impact, and adaptation
processes underlying drought‐to‐flood events (ie, consecutive drought and flood events) …

Abstract The upper Yellow River Basin (UYRB) provides more than 50% of freshwater for the
Yellow River. Recent research reveals continuous climatic wetting and vegetation greening …

Small reservoirs play an important role in providing water to rural communities. Increased
construction of small reservoirs to mitigate the effects of droughts leads to a High-density …

Recurrent hydrological droughts (streamflow deficits) are highly impactful and challenge
water management. Regional studies have provided some evidence of drought-rich periods …