Rainfall is one of the most basic meteorological and hydrological elements. Quantitative
rainfall estimation has always been a common concern in many fields of research and …

Accurate precipitation retrievals with fine spatio-temporal resolutions are critical in global
and regional analyses. As an important alternative of satellite-based precipitation products …

Reliable precipitation data are highly necessary for geoscience research in the Third Pole
(TP) region but still lacking, due to the complex terrain and high spatial variability of …

It is important to develop the integrated flood and landslide modeling system driven by radar
and satellite to predict these hazards to mitigate their damages. In this study, we investigated …

The accurate representation of spatio-temporal patterns of precipitation is an essential input
for numerous environmental applications. However, the estimation of precipitation patterns …

This study proposed a novel double machine learning (DML) approach to merge multiple
satellite-based precipitation products (SPPs) and gauge observations, and tested its …

Abstract The Tibetan Plateau (TP), being an average of surpassing 4000 m above sea level
and around 2.5× 10 6 km 2, is the highest and largest plateau in the world and also called as …

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

Satellite-retrieved and atmospheric reanalysis precipitation can bridge the spatiotemporal
gaps of in-situ gauging networks, but estimation biases can limit their reliable applications in …

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 …