Physics-Informed Liquid Neural Network Emulator for CRTM with Atmospheric-Layer Jacobian Capability
Physics-based fast radiative transfer models (RTMs), such as the Community Radiative Transfer Model (CRTM), face increasing computational demands from growing satellite data volumes and model complexity. We developed a physics-informed Liquid Neural Network emulator for CRTM (CRTM-LNN) that draws on continuous dynamica...