This study reviews the recent progresses in cloud physics, processes, and associated
radiative effects in China from 2016 to 2022. It mainly consists of three topics, including the …

Satellite remote sensing of cloud property retrieval and shortwave downward radiation
(SWDR) estimation is essential for global radiation budget and climate change studies. Sun …

Cloud Masking is one of the most essential products for satellite remote sensing and
downstream applications. This study develops machine learning-based (ML-based) cloud …

Meteorological satellites can provide more details of cloud, which can be used to analyze
the development process of convective cloud in the rainstorm events. To investigate the" 21 …

In this study, a deep learning algorithm is developed to consistently retrieve the daytime and
nighttime cloud properties from passive satellite observations without auxiliary atmospheric …

Using the Himawari-8 cloud product, this study investigated the seasonal, monthly, diurnal
variations as well as spatial and vertical distributions of cloud properties over four typical …

Cloud top height (CTH) is an important factor influencing its radiative effects, weather and
climate change, and spaceborne passive radiometers widely used to retrieve CTH mostly …

Infrared (IR) is an important data source for satellite quantitative precipitation estimation, and
has been widely applied in the fields of meteorology, hydrology, and agriculture. In the past …

The information on cloud properties and microphysical characteristics is critical for
environmental research and application, such as that on weather, climate, hydrology, and …

ABSTRACT Fengyun-4 (FY-4), the latest collection of Chinese geostationary meteorological
satellites, monitors the Eastern Hemisphere with high spatiotemporal resolutions. This study …