Climate change is perceived to be the main reason in affecting global rainfall patterns. The
estimation of rainfall extremes based on historical data, hence, might undervalue the risk …

Bangladesh, a tropical low-lying region, is stranded between the Bay of Bengal in the south
and the Himalayas in the north. The unique characteristics allow receiving huge rainfall, in …

The knowledge about spatial variation of annual rainfall is important for many applications
ranging from agriculture planning to flood risk management in a tropical low-lying country …

In this study, a coupled and improved snow-glacier runoff modeling framework has been
presented, which aims to separate the snowmelt runoff from glaciated and non-glaciated …

Extreme rainfall events are associated with large negative consequences to human society,
primarily as they may cause floods and other environmental problems such as erosions and …

Understanding the changes in the frequency characteristics of extreme rainfall can lead to
building an appropriate frequency model which ultimately plays a pivotal role in assessing …

In this article, we compare the performance of three regionalization approaches in improving
the at-site estimates of daily precipitation. The first method is built on the idea of …

Although a variety of climate datasets are now available, including observational and model
products, there remains a pressing need for the development of a unified, automated and …

Reliable estimation of return period values of extreme precipitation at ungauged locations is
considered to be a key exercise in hydrometeorological studies. This study aims to identify …

Indian summer monsoon (ISM) driven moisture from the Indian Ocean is important for
moisture transport to the Asian Water Towers and causing floods and droughts in …