AINeutralarXiv – CS AI · Jun 196/10
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SIMBA: ABidirectional Retrieval Forward Simulation Framework for Modeling FY-4A GIIRS Hyperspectral Infrared Radiances Toward NWP Applications
Researchers introduce SIMBA, a bidirectional deep learning framework that simultaneously retrieves atmospheric profiles from satellite infrared observations and reconstructs radiance data for weather prediction applications. The model uses cycle-consistency constraints and state-space modules to improve accuracy in temperature, humidity, and radiance modeling compared to existing methods.