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 …

Adaptation to climate change has now become a necessity for many regions. Yet, adaptation
planning at regional scales over the next few decades is challenging given the …

In recent years, neural network models have been extensively applied in flood prediction
due to their superior performance. However, most studies aimed at enhancing models have …

Abstract Sub-Saharan Africa (SSA) is strongly affected by flood hazards, endangering
human lives and economic stability. However, the role of internal climate modes of variability …

Dams that serve a dual purpose of water supply and flood mitigation operate to maintain a
defined full supply level of water that balances the two conflicting requirements. To optimize …

Atmospheric circulations have an important influence on regional climate. Understanding
the relationships between circulations, rainfall and streamflow at a regional and catchment …

Sungai pada desa Golantepus, kabupaten Kudus merupakan aliran sungai dari hulu
gunung Muria sampai ke hilir waduk Wilalung, meskipun bukan sungai besar namun …