Before revision:  In this paper, we propose a data-driven method to learn and interpret flight's 4D approach and landing parameters to facilitate comprehensible and actionable insights of landing dynamicsfor aircrew and air traffic controller (ATCO) in real-time . Specifically, we develop a tunnel Gaussian process (TGP) model to gain an insight into the landing dynamics of aircraft using advanced surface movement guidance and control system (A-SMGCS) data, which then indicates the stability of flight.
After revision:  In this paper, we propose a data-driven method to learn and interpret flight's 4D approach and landing parameters to facilitate comprehensible and actionable insights of landing dynamicsfor aircrew and air traffic controller (ATCO) in real-time . Specifically, we develop two variants of tunnel Gaussian process (TGP) model to gain an insight into the landing dynamics of aircraft using advanced surface movement guidance and control system (A-SMGCS) data, which then indicates the stability of flight.