Satellite remote sensing is the main tool for estimating precipitation over areas with sparse
rain gauge networks. Accurate gridded precipitation data at high temporal and spatial scales …

Real-time precipitation data with high spatiotemporal resolutions are crucial for accurate
hydrological forecasting. To improve the spatial resolution and quality of satellite …

Precipitation data with high resolution and high accuracy are significantly important in
numerous hydrological applications. To enhance the spatial resolution and accuracy of …

This study applied a stacked generalization ensemble approach to generate high-resolution
precipitation estimates and compared its performance with an optimized local weighted …

Merging gauge observation with a single original satellite-based precipitation product (SPP)
is a common approach to generate spatial precipitation estimates. For the generation of high …

High-spatial-resolution precipitation data are of great significance in many applications,
such as ecology, hydrology, and meteorology. Acquiring high-precision and high-resolution …

Deriving high quality precipitation estimates at high spatial resolution is of prime importance
for many hydrological, meteorological, and environmental investigations. Rain gauge …

Estimating precipitation at high spatial-temporal resolution is vital in manifold hydrological,
meteorological and water management applications, especially over areas with un-gauged …

The present work aims at reviewing and identifying gaps in knowledge and future
perspectives of satellite-derived precipitation downscaling algorithms. Here, various aspects …

Flash floods-caused losses are rapidly increasing due to climate change induced extreme
weather events and economic development in the world. The WRF-Hydro-RAPID model …