Identifying dust aerosols from passive satellite images is of great interest for many
applications. In this study, we developed five different machine-learning (ML) based …

The evolution of tropical anvil clouds from their origin in deep convective cores to their slow
decay determines the climatic effects of clouds in tropical convective regions. Despite the …

The sizes and shapes of ice crystals in clouds affect fundamental microphysical processes,
such as sedimentation and aggregation, as well as their optical properties. The evolution of …

High clouds have large impacts on the Earth's radiation balance, and a better understanding
of their change in warmer climates is essential for climate projection science. Previous …

The accurate detection of clouds is an important first step in the processing of remotely
sensed satellite data analyses and subsequent cloud model predictions. While initial cloud …

A retrieval methodology based on the Bayesian neural network (BNN) is presented that
inverts the ice water path (IWP), mean mass-weighted diameter (), and cloud height of ice …

Geostationary satellite-based remote sensing is a powerful tool to observe and understand
the spatiotemporal variation of cloud optical-microphysical properties and their …

Following the release of the version 4 Cloud-Aerosol Lidar with Orthogonal Polarization
(CALIOP) data products from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite …

Following the release of the version 4 Cloud-Aerosol Lidar with Orthogonal Polarization
(CALIOP) data products from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite …

The Hyperspectral Infrared Atmospheric Sounder (HIRAS) onboard the Feng Yun-3D (FY-
3D) satellite is the first Chinese hyperspectral infrared instrument. In this study, an improved …