Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 5
Articles | Volume 17, issue 5
https://doi.org/10.5194/amt-17-1475-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-1475-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 5
Research article
 | 
11 Mar 2024
Research article |  | 11 Mar 2024

Quantifying riming from airborne data during the HALO-(AC)3 campaign

Nina Maherndl, Manuel Moser, Johannes Lucke, Mario Mech, Nils Risse, Imke Schirmacher, and Maximilian Maahn

Data sets

Radar reflectivities at 94 GHz and microwave brightness temperature measurements at 89 GHz during the HALO-AC3 Arctic airborne campaign Mario Mech, Nils Risse, Pavel Krobot, Daria Paul, Imke Schirmacher, Sabrina Schnitt, and Susanne Crewell https://doi.org/10.1594/PANGAEA.964977

Cloud mask and cloud top altitude from the AMALi airborne lidar on Polar 5 during HALO-AC3 in spring 2022 Mario Mech, Nils Risse, Christoph Ritter, Imke Schirmacher, and Jan H. Schween https://doi.org/10.1594/PANGAEA.964985

DLR in situ cloud measurements during HALO-(AC)3 Arctic airborne campaign Manuel Moser, Johannes Lucke, Elena De La Torre Castro, Johanna Mayer, and Christiane Voigt https://doi.org/10.1594/PANGAEA.963247

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Short summary
In some clouds, liquid water droplets can freeze onto ice crystals (riming). Riming leads to the formation of snowflakes. We show two ways to quantify riming using aircraft data collected in the Arctic. One aircraft had a cloud radar, while the other aircraft was measuring directly in cloud. The first method compares radar and direct observations. The second looks at snowflake shape. Both methods agree, except when there were gaps in the cloud. This improves our ability to understand riming.
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