A distributional regression network acts as a backward operator to produce uncertainty-quantified, multivariate Gaussian retrievals of cloud properties from six solar channels for data assimilation.
Jones and Patrick Skinner and Nusrat Yussouf and Kent Knopfmeier and Anthony Reinhart and Xuguang Wang and Kristopher Bedka and William Smith and Rabindra Palikonda
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Using Distributional Regression Networks to Retrieve Cloud Properties from Solar Satellite Channels for Data Assimilation
A distributional regression network acts as a backward operator to produce uncertainty-quantified, multivariate Gaussian retrievals of cloud properties from six solar channels for data assimilation.