Articles | Volume 19, issue 20
https://doi.org/10.5194/amt-19-6661-2026
https://doi.org/10.5194/amt-19-6661-2026
Research article
 | 
22 Oct 2026
Research article |  | 22 Oct 2026

A hybrid ice hydrometeor retrieval algorithm for submillimeter-wave radiometers in support of the PolSIR and PMM missions

Yuli Liu, Jie Gong, Ian S. Adams, Rachael A. Kroodsma, Ruiyao Chen, Dong L. Wu, Ralf Bennartz, and Scott A. Braun

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Latest update: 10 Nov 2026
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Short summary
This paper presents an ice hydrometeor retrieval algorithm for (sub)millimeter-wave radiometers. The algorithm combines Bayesian Monte Carlo Integration with the Optimal Estimation Method, extending retrieval capability beyond the limitations of the a priori database. Experiments using simulations and airborne observations show that the algorithm effectively reduces discrepancies between observations and simulations and improves the accuracy of retrieved ice cloud microphysical properties.
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