A Machine Learning Framework for Retrieving Atmospheric Composition and the Associated Averaging Kernels From a Geostationary Hyperspectral Infrared Sounder
Geostationary hyperspectral infrared sounders provide hourly observations of the atmospheric composition. However, the conventional optimal estimation method (OEM)‐based retrieval algorithm requires computationally expensive radiative transfer calculations and inverse modeling, making it difficult to monitor in rea...