<ul><li>Satellite-based estimates of greenhouse gas (GHG) properties from observations of reflected solar spectra are important for understanding and monitoring terrestrial systems and the carbon cycle.</li><li>A computationally expensive algorithm called Optimal Estimation (OE) is currently used for GHG concentration estimation, but it has convergence issues and provides unrealistic uncertainty estimates.</li><li>To address this, a diffusion-based approach is proposed for retrieving a Gaussian or non-Gaussian posterior, while significantly improving computational speed.</li><li>This approach is aimed at enabling near continuous real-time global monitoring of carbon sources and sinks for better climate impact assessment and policy making.</li></ul>

Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy

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