Global satellite precipitation products (SPPs) effectively obtain spatial precipitation
information but frequently fail to meet application requirements in small-scale areas due to …

Regression algorithms are regularly used for improving the accuracy of satellite precipitation
products. In this context, satellite precipitation and topography data are the predictor …

The concurrent occurrence of extreme events can significantly impact societies and
infrastructure systems, especially when the instructions provided to the exposed …

Satellite precipitation estimate (SPE) dedicated to reservoir inflow forecasting is very
attractive as it can provide near-real-time information for reservoir monitoring. However, the …

In the last decade, substantial improvements have been achieved in quantitative satellite
precipitation estimates, which are essential for a wide range of applications. In this study, we …

Hydroclimatic swings between dry and wet spells are increasing globally, raising concerns
due to their severe impacts on society, agriculture, infrastructure systems, and water …

This study examines the impact of strong Madden-Julian Oscillation (MJO) phases (P1–P8)
on diurnal rainfall patterns focusing on Afternoon Diurnal Convection (ADC) events in Sri …

Abstract Rain‐on‐snow (ROS) is a compound hydrometeorological extreme event that can
lead to severe socioeconomic impacts and affect ecosystem function. In high‐latitude …

For the past few years, there have been improvements in collocation approaches that do not
rely on in-situ observations to estimate data uncertainties. These approaches have been …

Highly accurate near-real-time satellite precipitation estimates (SPEs) are important for
hydrological forecasting and disaster warning. The near-real quantitative precipitation …