Bridging the Microwave Data Gap: Using Bayesian Deep Learning to “See” the Unseen

Dec 2, 2022



Having microwave data with the spatial and temporal resolution of infrared data would provide a large positive impact on many climate and weather applications. We demonstrate that Bayesian deep learning is a promising technique for both creating and improving synthetic microwave data from infrared data. We report 0.7


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