Researchers from the Xinjiang Astronomical Observatory of the Chinese Academy of Sciences have developed a hybrid deep learning model that can accurately predict atmospheric delay, a key source of error in astronomical observations and geodetic measurements. The study is published in Research in Astronomy and Astrophysics.
AI-powered model enhances atmospheric calibration precision for astronomical observation and geodetic measurement
