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Author

Feng Zhang

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Open access Sep 2026

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...

Feng Zhang, Chang-Yong Cao, Yong Chen et al. · 0 citations

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