Chao Liu

Fast All‐Sky Hyperspectral Infrared Radiative Transfer With Physically Recursive Cloud Treatment

Abstract Clouds strongly modify thermal infrared radiances through absorption, emission, and multiple scattering, yet rigorous line‐by‐line (LBL) gas absorption coupled with multi‐stream scattering remains too expensive for large ensembles of all‐sky hyperspectral simulations. We...

A Physics‐Guided Feature Selection Machine Learning Approach for Cloud Probability Retrieval and Detection From TEMPO Imagery

Abstract Accurate cloud detection is critical for reliable retrievals of aerosols and trace gases from remote‐sensing measurements. TEMPO provides unprecedented hourly observations over North America, but radiometric calibration biases, thousands of spectral channels, and limited...