7 citations as recorded by crossref.

1. Improvements in rainfall estimation over Bangkok, Thailand by merging satellite, radar, and gauge rainfall datasets with the geostatistical method P. Wetchayont et al. https://doi.org/10.1080/20964471.2023.2171581
2. Improving the accuracy of flood forecasting for Northeast China by the correction of global forecast rainfall based on deep learning S. Chen et al. https://doi.org/10.1016/j.jhydrol.2024.131733
3. An integrated modeling approach for estimating monthly global rainfall erosivity A. Fenta et al. https://doi.org/10.1038/s41598-024-59019-1
4. Evaluation of Merging Method for CHIRP Satellite Rainfall Estimate Over Wabi Shebelle River Basin, Ethiopia K. Tadesse et al. https://doi.org/10.1007/s12524-022-01584-x
5. Merging satellite rainfall estimates and daily rain gauge observations for improved flood simulation in MelkaKuntire catchment, upper Awash Basin, Ethiopia K. Mekonnen et al. https://doi.org/10.1016/j.rsase.2022.100701
6. Rainfall variability assessment in the hydrological catchment of Addis Ababa G. Failla et al. https://doi.org/10.1088/1755-1315/1136/1/012022
7. Improving rainfall-runoff modelling using the fusion of satellite-based and gauge precipitation products in a data-sparse region X. Xu et al. https://doi.org/10.1080/02626667.2025.2494707