Abstract The Global Precipitation Measurement (GPM) mission measures global
precipitation at a temporal resolution of a few hours to enable close monitoring of the global …

Increases in precipitation rates and volumes from tropical cyclones (TCs) caused by
anthropogenic warming are predicted by climate modeling studies and have been identified …

Reliable quantitative precipitation estimation with a rich spatiotemporal resolution is vital for
understanding the Earth's hydrological cycle. Precipitation estimation over land and coastal …

A generative diffusion model is used to produce probabilistic ensembles of precipitation
intensity maps at the 1-hour 5-km resolution. The generation is conditioned on infrared and …

Satellite-based precipitation estimation plays a crucial role in climate change assessment
and water resource management, benefiting from its wide coverage. However, the …

The estimate of precipitation from satellite measurements is an indirect estimate if compared
to rain gauges or disdrometer measurements, but it has the advantage of complete coverage …

Observations of clouds and precipitation in the microwave domain from the active dual-
frequency precipitation radar (DPR) and the passive Global Precipitation Measurement …

Passive microwave (PMW) radiometers have been widely utilized for quantitative
precipitation estimation (QPE) by leveraging the relationship between brightness …

Satellite infrared detectors cannot penetrate clouds, especially precipitating clouds.
Improving precipitation estimation accuracy based on infrared brightness temperature has …

This study compares the performance of five selected machine learning models regarding
precipitation climatology during the warm season in 2022 and 2023 over the continental US …