This study developed a satellite, reanalysis, and gauge data merging model for daily-scale
analysis using a random forest algorithm in Sichuan province, characterized by complex …

Precipitation is a major component of the water cycle. Accurate and reliable estimation of
precipitation is essential for various applications. Generally, there are three main types of …

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

High accuracy and a high spatiotemporal resolution of precipitation are essential for the
hydrological, ecological, and environmental fields. However, the existing daily gridded …

Obtaining precipitation estimates with high resolution and high accuracy is critically
important for regional meteorological, hydrological, and other applications. Although satellite …

Multi-source precipitation merging is a crucial way to estimate the spatiotemporal distribution
of precipitation accurately. The commonly used merging methods mainly focus on bias …

Due to the frequent occurrence of extreme precipitation events on a global scale, accurate
estimation of regional precipitation has emerged as a critical concern. Specifically, region …

With the complex landform and climate in the Sichuan region, the need for practical and
scientific research production by only utilising the rainfall data derived from ground stations …

Gridded precipitation data with a high spatiotemporal resolution are of great importance for
studies in hydrology, meteorology, and agronomy. Observational data from meteorological …

To improve the accuracy and reliability of precipitation estimation, numerous models based
on machine learning technology have been developed for integrating data from multiple …