Mixed-phase clouds represent a three-phase colloidal system consisting of water vapor, ice
particles, and coexisting supercooled liquid droplets. Mixed-phase clouds are ubiquitous in …

Satellites have provided decades of valuable cloud observations, but the data from
conventional passive radiometers are biased toward information from at or near cloud top …

The radiative impact of clouds strongly depends on their partitioning between liquid and ice
phases. Until recently, however, it has been challenging to unambiguously discriminate …

The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multiplatform Observations to Unravel the
Role of Clouds and Aerosol Particles in Arctic Amplification in: Bulletin of the American …

A deep-learning-based cloud detection and classification algorithm for advanced Himawari
imager (AHI) measurements from the geostationary satellite Himawari-8 has been …

In this study, a thermal infrared (TIR)-based convolutional neural network (TIR-CNN),
originally designed for retrieving cloud optical properties from TIR radiometry, is further …

The combination of downward-looking airborne lidar, radar, microwave, and imaging
spectrometer measurements was exploited to characterize the vertical and small-scale …

Cold clouds are the main operation target of artificial precipitation enhancement, and its key
is to find a supercooled cloud water area where the catalyst can be seeded to promote the …

A new multilayer (ML) cloud detection algorithm based on three shortwave infrared (SWIR)
and two longwave infrared (LWIR) channels is developed and applied to the Visible Infrared …

Current satellite cloud products from passive radiometers provide effective single‐layer
cloud properties by assuming a homogeneous cloud in a pixel, resulting in inevitable biases …