Articles | Volume 15, issue 4
Atmos. Meas. Tech., 15, 927–944, 2022
https://doi.org/10.5194/amt-15-927-2022
Atmos. Meas. Tech., 15, 927–944, 2022
https://doi.org/10.5194/amt-15-927-2022
Research article
23 Feb 2022
Research article | 23 Feb 2022

Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms

Yuli Liu and Gerald G. Mace

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Short summary
We propose a suite of Bayesian algorithms for synergistic radar and radiometer retrievals to evaluate the next-generation NASA Cloud, Convection and Precipitation (CCP) observing system. The algorithms address pixel-level retrievals using active-only, passive-only, and synergistic active–passive observations. Novel techniques in developing synergistic algorithms are presented. Quantitative assessments of the CCP observing system's capability in retrieving ice cloud microphysics are provided.