Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 11
Articles | Volume 17, issue 11
https://doi.org/10.5194/amt-17-3567-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-3567-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 11
Research article
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 | 
12 Jun 2024
Research article | Highlight paper |  | 12 Jun 2024

Synergistic approach of frozen hydrometeor retrievals: considerations on radiative transfer and model uncertainties in a simulated framework

Ethel Villeneuve, Philippe Chambon, and Nadia Fourrié

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Executive editor
This is a very thorough quantification of uncertainties in hydrometeor retrieval from synergistic retrievals. This is rare (and difficult) both in that a thorough uncertainty analysis, and multi-sensor synergy retrievals, are both uncommon - let alone together. This analysis can be a pathfinder for this community and for others seeking to achieve similar goals. Uncertainty analyses are becoming increasingly important as sensors and retrievals improve, and as models are being more sophisticated about use of this information for assimilation or analysis.
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Short summary
In cloudy situations, infrared and microwave observations are complementary, with infrared being sensitive to cloud tops and microwave sensitive to precipitation. However, infrared satellite observations are underused. This study aims to quantify if the inconsistencies in the modelling of clouds prevent the use of cloudy infrared observations in the process of weather forecasting. It shows that the synergistic use of infrared and microwave observations is beneficial, despite inconsistencies.
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